A device and method for providing a customized service for pets based on a gut microbiome analysis platform.

Abstract

The present invention relates to a pet customization service provider device for an intestinal microbiome analysis platform, and the pet customization service provider device for an intestinal microbiome analysis platform according to the present invention may include an analysis unit that derives intestinal state information of a pet by analyzing the intestinal microbiome (microbiome) of the pet, and a service provider unit that provides a customized service tailored for the pet based on the intestinal state information.

Description

[[Technical Field]]

[0001] The present invention relates to an apparatus and method for providing customized services for pets based on intestinal microbiota analysis. [[Background Art]]

[0002] Including South Korea, the population raising pets (dogs) is rapidly increasing worldwide. While pets are recognized as family members, homemade food, vegetarian-based diets, and the like are sometimes provided instead of commercially available products on the market. However, this rather has the risk of exposing pets to various diseases, so it can be said that accurate understanding and caution regarding this are required.

[0003] Diet is the most important factor affecting the composition of intestinal microbiota, and changes in the composition of intestinal microbiota are known to affect the production of metabolites. Since diet thus affects the composition and changes of intestinal microbiota, a dietary approach based on accurate understanding of individual pets is required.

[0004] Conventionally, several studies have been conducted to produce animal feed using such intestinal microbiota, but research on the early diagnosis field related to disease onset is still in its initial stage. Most of the conventionally known disease diagnosis techniques are not for pets, but were developed for diagnosing diseases in humans, and have the disadvantage that diagnosis can only be performed using samples from specimens collected through invasive blood collection.

[0005] Furthermore, since there are differences in the distribution of intestinal microbiota depending on individual differences and the formulation and type of feed, there is a demand for the development of a customized analysis system that compensates for individual nutritional deficiencies through microbiota analysis. In reality, however, conventional technologies have not been sufficient to satisfy this demand.

[0006] Therefore, there is an urgent need to develop technology that can non-invasively collect samples from pets for gut microbiota analysis, use the collected samples to understand the pet's gut condition (gut microbiota status) and pre-existing conditions (diseases), and provide customized services such as the supply of personalized pet food and recipes based on the information gathered.

[0007] The underlying technology of this invention is disclosed in Korean Published Patent No. 10-2020-0087558. [Overview of the project] [Problems that the invention aims to solve]

[0008] The present invention was made to solve the problems of the conventional technology described above, and aims to provide a customized service provision device and method for pets based on an intestinal microbiota analysis platform, which can collect samples for non-invasive intestinal microbiota analysis of pets, understand the pet's intestinal state information (information on the state of the intestinal microbiota) and chronic diseases (illnesses) based on the collected samples, and provide services such as supplying customized pet food and providing recipes for individual pets based on the information obtained.

[0009] However, the technical problems that the embodiments of the present invention aim to solve are not limited to those described above, and other technical problems may exist. [Means for solving the problem]

[0010] As a technical means for achieving the aforementioned technical challenges, a customized service provider for pets based on an intestinal microbiome analysis platform according to one embodiment of the present invention may include an analysis unit that derives intestinal state information of a pet by analyzing its intestinal microbiome, and a service provider that provides customized services tailored to the pet based on the intestinal state information.

[0011] Furthermore, the analysis unit can collect fecal matter from the pet using commercially available (already manufactured) diagnostic equipment, perform an intestinal microbiome analysis on the collected fecal matter, and derive analysis results information on beneficial and harmful bacteria in the pet's intestines as intestinal state information.

[0012] Furthermore, the customized service provider for pets of the intestinal microbiota analysis platform according to one embodiment of the present invention further includes a construction unit that constructs a microbiota distribution map of the microbiota platform by analyzing fecal samples from multiple pets, and the analysis unit can derive the intestinal state information using the constructed microbiota distribution map.

[0013] Furthermore, the service provider can provide as a customized service information custom recipe information tailored to the intestinal condition information or information on made-to-order pet food products manufactured based on the custom recipe information.

[0014] Furthermore, the customized pet service provider device for the gut microbiota analysis platform according to one embodiment of the present invention further includes an acquisition unit that acquires pet information from a user terminal, including at least one of the pet's breed, age, weight, dietary habits, and activity level, and the service provider unit can provide the customized service taking into further consideration the pet information.

[0015] Furthermore, the pet-oriented customized service provider device for gut microbiota analysis according to one embodiment of the present invention may further include a regular delivery management unit that, when a user terminal makes a subscription request for information on custom-made pet food products, regularly delivers pet food products on delivery dates specified by the user.

[0016] On the other hand, a method for providing a customized service for a pet using a customized service provision device for a pet using a gut microbiome analysis platform according to one embodiment of the present invention may include the steps of: in the analysis unit, deriving intestinal state information of a pet by analyzing the gut microbiome of the pet; and in the service provision unit, providing a customized service tailored to the pet based on the intestinal state information.

[0017] The means for solving the aforementioned problems are illustrative and should not be interpreted as intended to limit the present invention. In addition to the exemplary embodiments described above, further embodiments may exist as shown in the drawings and the detailed description of the invention. [Effects of the Invention]

[0018] According to the present invention described above, by providing a customized service provision device and method for pets based on an intestinal microbiome analysis platform, it is possible to collect samples for intestinal microbiome analysis non-invasively from pets using off-the-shelf diagnostic equipment, and based on the collected samples, to understand the pet's intestinal state information (intestinal microbiome state information) and pre-existing diseases (illnesses), and based on the information obtained, to provide customized services such as supplying made-to-order pet food and providing recipes for individual pets.

[0019] However, the effects obtained by the present invention are not limited to those described above, and other effects may exist. [Brief explanation of the drawing]

[0020] [Figure 1] This is a schematic diagram showing a customized service provision system for pets based on an intestinal microbiome analysis platform according to one embodiment of the present invention. [Figure 2] This diagram illustrates the process by which a microbiome distribution map is constructed by the construction unit within a customized service provision device for pets, which is based on one embodiment of the intestinal microbiome analysis platform. [Figure 3] It is a schematic diagram showing the product shape of a diagnostic device included in a customization service providing system for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. [Figure 4] It is a diagram for explaining the process in which a customization service providing apparatus for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention produces and provides lactic acid bacteria as custom-made pet food products through analysis of the pet's intestinal microbiota. [Figure 5] It is a schematic diagram showing data for each individual sample obtained by a customization service providing apparatus for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. [Figure 6] It is a schematic diagram showing data for each individual sample obtained by a customization service providing apparatus for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. [Figure 7] It is a schematic diagram showing data for each individual sample obtained by a customization service providing apparatus for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. [Figure 8] It is a schematic diagram showing data for each individual sample obtained by a customization service providing apparatus for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. [Figure 9] It is a diagram for explaining the customization service provided by a customization service providing apparatus for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. [Figure 10] It is a flowchart showing a method for providing a customization service for pets based on an intestinal microbiota analysis platform according to an embodiment of the present invention. MODE FOR CARRYING OUT THE INVENTION

[0021] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings, so that those with ordinary skill in the art to which the present invention pertains can easily implement it. However, the present invention can be realized in a variety of different forms and is not limited to the embodiments described herein. In the drawings, parts that are not relevant to the description have been omitted in order to clearly illustrate the present invention, and similar parts throughout the specification are denoted by the same reference numerals.

[0022] Throughout the specification of the present invention, when a part is said to be “connected” to another part, this includes not only cases where it is “directly connected,” but also cases where it is “electrically connected” or “indirectly connected” through other elements in between.

[0023] Throughout the specification of the present invention, when an element is described as being located "above," "on top of," "at the top end," "below," "at the bottom," or "at the bottom end" of another element, this includes not only cases where one member is in contact with another member, but also cases where another member is interposed between the two members.

[0024] In the entirety of the specification of the present invention, when a part is said to "include" a certain component, this does not exclude other components, unless otherwise stated, but rather means that other components may be further included.

[0025] Throughout the specification of the present invention, some of the operations and functions described as being performed by a terminal, apparatus, or device may be performed instead by a server connected to such terminal, apparatus, or device. Similarly, some of the operations and functions described as being performed by a server may be performed on a terminal, apparatus, or device connected to such server.

[0026] Throughout the specification of this invention, the term "at least one" may be defined as a term that includes both singular and plural forms, and even if the term "at least one" is not present, it is obvious that each component may exist in singular or plural forms, and can mean singular or plural. Furthermore, whether each component is provided in singular or plural forms can be modified depending on the embodiment.

[0027] Figure 1 is a schematic diagram showing a customized service provision system 100 for pets based on an intestinal microbiome analysis platform according to one embodiment of the present invention.

[0028] For the sake of explanation, in the following, the customized service provision system 100 for pets of the gut microbiota analysis platform according to one embodiment of the present invention will be referred to as "the System 100." Furthermore, the System 100 may include a customized service provision device 10 for pets of the gut microbiota analysis platform, and such a customized service provision device 10 for pets of the gut microbiota analysis platform according to one embodiment of the present invention will be referred to as "the Device 10" for the sake of explanation below.

[0029] Referring to Figure 1, the system 100 may include the device 10, diagnostic equipment 20, user terminal 30, and pet 40.

[0030] The device 10 is a device for providing customized services for pets on the gut microbiota analysis platform, and may be a device or server that provides web pages, app pages, programs, or apps related to the provision of customized services for pets on the gut microbiota analysis platform. In this case, the programs, apps, services, and platforms related to the provision of customized services for pets on the gut microbiota analysis platform provided by the device 10 will be referred to as the program, the app, the service, and the platform, respectively, for the convenience of the following explanation. The device 10 can provide the program or the app to the user terminal 30, thereby enabling the user to use the service (customized pet service on the gut microbiota analysis platform).

[0031] The diagnostic device 20 may be a diagnostic device that is equipped to collect fecal matter from the pet 40 and can use the collected fecal matter to understand (derive) information about the intestinal state (information about the state of the intestinal microbiota) and pre-existing conditions (diseases) of the pet 40. The diagnostic device 20 may also be a portable diagnostic device that is equipped to be portable. Such a diagnostic device 20 may be referred to by terms such as a diagnostic device for a microbiota platform based on pet diseases, a disease diagnostic device for digestive diseases, a health check device for pets, a diagnostic device for a fecal collection base, a diagnostic device for fecal collection base microbiota analysis, a diagnostic device for a fecal collection base intestinal microbiota, or a NGS (Next Generation Sequencing) diagnostic device for a fecal collection base.

[0032] For example, the device 10 can provide diagnostic equipment 20 to users of the service, either for a fee or free of charge, thereby enabling users to receive customized services for their pets 40. As an example, a user can purchase diagnostic equipment from the device 10 by using a user terminal 30 to pay the predetermined sales price of the diagnostic equipment to the administrator who manages the device 10.

[0033] User terminal 30 can refer to a terminal owned by a user who uses this device 10 (this service). After a user connects to this program or application using user terminal 30, this device 10 can enable the user to use this service without registering as a member. The user can be anyone, regardless of age or gender.

[0034] The user terminal 30 may include, but is not limited to, all types of wireless communication devices such as PCS (Personal Communication System), GSM (Registered Trademark) (Global System for Mobile Communication), PDC (Personal Digital Cellular), PHS (Personal Handy-phone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartphones, smart pads, tablets, notebook computers, wearable devices, and desktop computers.

[0035] Pet 40 could be, for example, a pet owned by the user. Pet 40 can include dogs, cats, hedgehogs, etc., but is not limited to the aforementioned types, and is applicable to various animals as Pet 40 in this system 100. In this invention, as an example, Pet 40 is exemplified as a pet owned by the user of the user terminal 30, and is a puppy / dog (companion dog).

[0036] The device 10 can communicate with the user terminal 30 and the diagnostic equipment 20 via the network 5 to send and receive data. Furthermore, the control unit 17 within the device 10 can control the operation of the user terminal 30 and the diagnostic equipment 20, as well as the operation of various parts within the device 10.

[0037] Network 5 includes, but is not limited to, a variety of wired and wireless networks, such as, 3GPP® (3rd Generation Partnership Project) networks, LTE (Long Term Evolution) networks, WiMAX (World Interoperability for Microwave Access) networks, the Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth® (Bluetooth®) networks, NFC (Near Field Communication) networks, satellite broadcasting networks, analog broadcasting networks, and DMB (Digital Multimedia Broadcasting) networks.

[0038] Furthermore, while Figure 1 shows an example in which each component of the system 100 (for example, one user terminal 30, one diagnostic device 20, and one pet 40) is provided (included), this is merely an example to aid in understanding the present invention and is not limited to this. In other embodiments, the system 100 may be provided with multiple instances of each of the aforementioned components, and the explanations given for each of the aforementioned components, even if omitted below, can be similarly applied to the explanations of each component provided with multiple instances (i.e., multiple user terminals, multiple diagnostic devices, multiple pets). A more specific explanation of the device 10 follows below.

[0039] The device 10 may include an analysis unit 11, a construction unit 13, an acquisition unit 14, a database unit 15, a scheduled flight management unit 16, and a control unit 17.

[0040] The analysis unit 11 can derive information about the intestinal state of pet 40 by analyzing the intestinal microbiome. The microbiome is a general term for various microorganisms such as bacteria and viruses that inhabit the human body, and it changes in diverse ways over time and affects human health. In this invention, the term microbiome can be used interchangeably with the term microorganism. Accordingly, the analysis unit 11 can derive information about the intestinal state of pet 40 by analyzing the intestinal microbiome (microorganisms) of pet 40.

[0041] The analysis unit 11, using a commercially available diagnostic device 20, collects a stool sample from the pet 40, performs an intestinal microbiome analysis on the collected stool sample, and derives analysis results (microbial analysis results) regarding the microorganisms in the pet 40's intestines, including beneficial and harmful bacteria, as information about the pet 40's intestinal state. Here, the diagnostic device 20 is a diagnostic device manufactured and provided by, for example, a manufacturing unit (not shown) within the device 10, and may also be referred to by other terms, such as a diagnostic kit for the intestinal microbiome of a stool collection substrate. The commercially available diagnostic device 20 may be a portable diagnostic device that is small enough to be carried around.

[0042] The intestinal state information derived by the analysis unit 11 represents the current state of the intestinal microbiota (microbiome) of the pet 40, and can represent the intestinal microbiota analysis result information (intestinal microbiota analysis result information) derived by performing intestinal microbiota analysis. Such intestinal state information may include at least one piece of information from the types, distribution, abundance, and proportions of the intestinal microbiota. Here, the information regarding distribution (distribution map), abundance, and proportion may, for example, represent information corresponding to the types of intestinal microbiota (i.e., information regarding the distribution, abundance, and proportion of each type of microorganism), or it may represent information relating to beneficial bacteria and harmful bacteria (i.e., information regarding the distribution, abundance, and proportion of beneficial bacteria and harmful bacteria).

[0043] Furthermore, the analysis unit 11 can derive not only information on the current intestinal state of pet 40, but also information on pet 40's current diseases, by analyzing the intestinal microbiome of the collected feces of pet 40. Here, current disease information refers to, for example, information on diseases that pet 40 currently has, and in particular, information on the type of chronic disease. Current disease information may also be called by other terms such as current disease type information.

[0044] The construction unit 13 can construct (generate) a microbiome distribution map of the microbial community substrate by analyzing fecal samples from multiple pets. The analysis unit 11 can derive intestinal status information of pet 40 using the microbiome distribution map constructed by the construction unit 13. Furthermore, the analysis unit 11 can derive intestinal status information and current disease information of pet 40 using the constructed microbiome distribution map.

[0045] The microbiome distribution map constructed by the construction unit 13 can be interpreted as information that maps the distribution information (information regarding microbiome distribution) derived from the analysis of stool samples from multiple pets, categorized by pet species, age group, weight, and disease.

[0046] Specifically, the construction unit 13 collects stool samples from multiple pets in order to construct (generate) a microbial flora distribution map, classifies the collected stool samples into a first group containing stool samples from normal pets and a second group containing stool samples from diseased pets, and performs intestinal microbiota analysis on each of the first and second groups to derive intestinal microbiota analysis results for normal pets and diseased pets, and constructs (generates) the microbial flora distribution map based on the derived intestinal microbiota analysis results.

[0047] The construction unit 13 can collect fecal samples from multiple pets, categorized by pet species, age group, and weight. In the above description, "normal group pets" can mean pets that do not have any disease, where disease can also be referred to by other terms such as illness, metabolic disease, or digestive metabolic disease. "Disease group pets" can mean pets that have at least one disease.

[0048] The microbiome distribution map constructed by the construction unit 13 may include a first map, which is a map of the distribution of the microbiome of normal group pets, and a second map, which is a map of the distribution of the microbiome of diseased group pets. The first map may include pie chart information of the microbiome analysis map according to species, age, and weight for normal pets (i.e., normal group pets), and the second map may include pie chart information of the microbiome analysis map according to species, age, and weight for pets with metabolic diseases (i.e., diseased group pets).

[0049] A pie chart, also known as a circle diagram or pie chart, is a graph that represents the proportion of each category within a unit circle using sectors. In principle, the central angle of each sector in such a graph is drawn in proportion to the proportion of each category.

[0050] As an example, the analysis unit 11 can derive intestinal status information (i.e., microbial analysis result information) of pet 40 by performing an intestinal microbiome analysis of pet 40 using a commercially available diagnostic device 20. Then, by comparing the derived intestinal status information of pet 40 with the microbiome distribution map constructed by the construction unit 13, it can derive current disease information of pet 40 (in particular, current disease information including whether pet 40 currently has a chronic illness and, if so, the type of disease) based on the constructed microbiome distribution map.

[0051] Subsequently, the service provision unit 12 can provide a customized service tailored to pet 40 based on the intestinal condition information of pet 40 derived from the analysis unit 11. In particular, the service provision unit 12 can provide a customized service tailored to pet 40 to the user terminal 30 based on the intestinal condition information and current disease information of pet 40 derived from the analysis unit 11. This makes the customized service tailored to pet 40 available to the user from the service provision unit 12 and makes it available for use.

[0052] The service provision unit 12 can provide the user (user terminal 30) with a customized service: custom recipe information tailored to the intestinal condition information of the pet 40 derived from the analysis unit 11, or information on made-to-order pet food products manufactured based on the custom recipe information. In particular, the service provision unit 12 can provide the user terminal 30 with custom recipe information tailored to the current disease information of the pet 40, based on the intestinal condition information and current disease information of the pet 40 derived from the analysis unit 11, or provide the user terminal 30 with information on made-to-order pet food products manufactured based on the custom recipe information as a customized service.

[0053] In this case, the custom-made pet food product may, for example, be a pet food product (i.e., pet food) manufactured by a pet food manufacturing unit (not shown) within the apparatus 10. The pet food manufacturing unit (not shown) can manufacture (produce, create) a pet food product corresponding to the custom recipe information provided by the service provision unit 12. Here, the custom-made pet food product may include, for example, fresh feed (raw and cooked) manufactured on a basis of fresh ingredients (i.e., fresh ingredients that are at least one of domestic, organic, and environmentally friendly ingredients). In other words, the custom-made pet food product may include feed (fresh feed), but is not limited to this, and may include a variety of pet products such as feed, snacks, and supplements.

[0054] The user terminal 30 can receive customized services from the service provision unit 12. If the customized service provided by the service provision unit 12 is custom recipe information, the user can, for example, directly manufacture food containing the ingredients, nutrients, etc. included in the custom recipe information based on the custom recipe information, and then provide it to the pet 40 as custom-made pet food for the pet 40 to consume.

[0055] Alternatively, if the customized service provided by the service provider unit 12 is information about a made-to-order pet food product, the user can, for example, confirm the information about the made-to-order pet food product provided, and if they wish to purchase it thereafter, they can select the information about the made-to-order pet food product and then make a payment. At this time, for example, if the control unit 17 in the device 10 detects that payment has been made for the information about the made-to-order pet food product at the user terminal 30, it can manufacture the made-to-order pet food product corresponding to the information about the made-to-order pet food product using the pet food manufacturing unit (not shown) in the device 10, and then deliver the made-to-order pet food product manufactured by the pet food manufacturing unit (not shown) to the user, and the user can then have the pet 40 consume the delivered made-to-order pet food product.

[0056] The acquisition unit 14 can acquire pet information from the user terminal 30, including at least one of the following: breed (type), age, weight, eating habits, and activity level. In other words, the pet information may include at least one of the following: breed information, age information, weight information, eating habits information, and activity level information. Here, the activity level information is, for example, information about the activity level of pet 40 acquired through a wearable device that can be worn on a part of pet 40's body, such as the number of steps pet 40 takes. Furthermore, the pet information may include not only the aforementioned information (breed, age, weight, eating habits, activity level), but also information on whether or not the pet has a disease, if there is a disease, information on the type of disease, and information on whether or not the pet has allergies.

[0057] The acquisition unit 14 can store pet information obtained from the user terminal 30, for example, in the data unit 15. The database unit 15 can store not only pet information obtained from the user terminal 30, but also various other types of information considered in this device 10.

[0058] The service provision unit 12 can, for example, not only provide customized services by taking into account the aforementioned intestinal condition information and current disease information, but can also provide customized services to the user (user terminal 30) by further considering the pet information acquired by the acquisition unit 14.

[0059] When a subscription application for information on custom-made pet food products is made from the user terminal 30, the regular delivery management unit 16 can regularly deliver custom-made pet food products (i.e., custom-made pet food products corresponding to the information on custom-made pet food products for which the user has made a subscription application) to the user on the delivery date specified by the user.

[0060] Here, the information on custom-made pet food products can mean the information on custom-made pet food products provided as a customized service by the service provision unit 12. For example, when a user applies for a subscription to custom-made pet food products, they can enter subscription application information, which may include at least one of the following: desired delivery date, desired delivery frequency, desired delivery address, and recurring payment method.

[0061] According to this, when a subscription application is submitted from a user terminal 30 regarding information on custom-made pet food products, including subscription application information, the regular delivery management unit 16 can, based on the subscription application information, automatically complete payment using a regular payment method for each desired delivery date (a delivery date already set by the user) at the desired delivery cycle, and then deliver the custom-made pet food product to the desired delivery address. For example, the desired delivery date can be set to any date from the 1st to the 31st, such as the 1st, 15th, or 110th, and the desired delivery cycle can be set to, for example, two weeks, one month, or two months.

[0062] The control unit 17 can control the operation of each part within the device 10. Furthermore, the control unit 17 can control the operation of the user terminal 30 and the diagnostic equipment 20, which are linked to the device 10 via the network 5.

[0063] As described above, the device 10 analyzes data on the intestinal microbiota (intestinal microorganisms) according to the species, age, and weight of the pets 40 to create a platform (database) of information on the distribution of beneficial and harmful bacterial species. Based on the constructed (platformized) information, it further analyzes the relationship with diseases to construct (generate) a microbiota distribution map. Based on the generated microbiota distribution map, it is possible to manufacture personalized, functional, made-to-order pet food products (e.g., feed) that are customized one-to-one for each pet 40. The pet food products thus manufactured can be provided to the user as a customized service, thereby enabling the user to provide a more advanced, customized healthcare service for pets compared to conventional technologies.

[0064] At this time, the construction unit 13 can construct (generate) a microbiome distribution map of the microbial community base through the analysis of multiple pet stool samples, as described above. A detailed explanation of this is as follows.

[0065] To provide customized services, the construction unit 13 can perform the following steps when constructing a microbiome distribution map: i) a first step of establishing a basis for interpretation by securing samples of the intestinal microbiota from multiple pets, categorized by pet species, age group, and weight; ii) a second step of analyzing the microbiome distribution map of probiotic microorganisms using next-generation sequencing (NGS); iii) a third step of analyzing the distribution of intestinal microbiota related to disease; and iv) a fourth step of compiling the data and creating a platform for the microbial map (i.e., the microbiome distribution map).

[0066] <Step 1>

[0067] In the first step, the construction unit 13 can, for example, collect fecal samples from various pets by type, age group, and weight through a company, and classify (further classify) the fecal samples from pets with diseases (metabolic diseases) (disease group pets) among the collected fecal samples, thereby ensuring the respective intestinal microbiota of normal group pets and disease group pets, and establishing conditions for the samples to be analyzed. At this time, in the first step, the construction unit 13 can separate and prepare fecal samples from disease group pets having two or more metabolic diseases (e.g., diseases such as constipation and diarrhea) and fecal samples from normal group pets. That is, in the first step, once fecal samples from multiple pets have been collected, the construction unit 13 can classify the collected fecal samples into a first group and a second group. The first group means a group that includes fecal samples from normal group pets that do not have diseases, and the second group means a group that includes fecal samples from disease group pets that have diseases (e.g., two or more diseases).

[0068] <Step 2>

[0069] In the second step, the construction unit 13 can analyze the distribution map of probiotic microorganisms using next-generation sequencing (NGS). Specifically, it can perform next-generation sequencing (NGS) analysis using multiple collected stool samples, derive NGS analysis results, and analyze and list the distribution map of beneficial gut bacteria using the derived NGS analysis results.

[0070] In particular, in the second step, the construction unit 13 can derive NSG analysis results for normal group pets by performing NGS analysis on fecal samples from the first group, and can analyze and list the distribution map of beneficial gut bacteria in normal group pets (i.e., the first distribution map) from the derived NSG analysis results of normal group pets. Furthermore, in the second step, the construction unit 13 can derive NSG analysis results for diseased group pets by performing NGS analysis on fecal samples from the second group, and can analyze and list the distribution map of beneficial gut bacteria in diseased group pets (i.e., the second distribution map) from the derived NSG analysis results of diseased group pets.

[0071] Here, beneficial gut bacteria can include, for example, Lactobacillus, Firmicutes, Enterococcus faecium, Clostridium, and Proteobacteria. In this case, Lactobacillus, for example, is a probiotic and refers to beneficial bacteria that are useful for the gut environment; Firmicutes refers to dietary habit-related microorganisms; Enterococcus faecium is a microorganism that contributes to maintaining the gut environment but can cause antibiotic resistance if present in excess; Clostridium refers to microorganisms associated with intestinal diseases; and Proteobacteria refers to microorganisms associated with intestinal inflammation.

[0072] <Step 3>

[0073] In the third step, the construction unit 13 can analyze the distribution of the intestinal microbiota associated with the disease, and for this purpose, it can compare the first distribution derived from the second step with the second distribution (i.e., the distribution map of beneficial intestinal bacteria in normal pets and the distribution map of beneficial intestinal bacteria in diseased pets).

[0074] <Step 4>

[0075] In the fourth step, the construction unit 13 can create a platform for summarizing data and creating a microbial map (i.e., a microbiome distribution map). In this process, it can: i) create (generate) a pie chart of microbiome analysis maps for normal pets according to species, age, and weight as the "first map, which is a map of the microbiome of normal pets"; and ii) create (generate) a pie chart of microbiome analysis maps for diseased pets according to species, age, and weight as the "second map, which is a map of the microbiome of diseased pets". In this way, the construction unit 13 can construct (generate) a microbiome distribution map including the first map and the second map by creating (generating) the first map and the second map.

[0076] Furthermore, the construction unit 13 can, as an example, compare and analyze the first map generated in response to the first group and the second map generated in response to the second group (i.e., compare and analyze the results of microbiome analysis for normal group pets and diseased group pets, respectively), thereby listing the microbiomes that differ between the first map and the second map (e.g., differential microorganisms).

[0077] The analysis unit 11 compares (contrasts) the intestinal state information of the pet 40 derived using the diagnostic device 20 (i.e., intestinal microbiome analysis information of the pet 40) with the microbiome distribution map constructed by the construction unit 13, thereby deriving, for example, current disease information of the pet 40. Subsequently, the service provision unit 12 can provide a customized service to the user based on the current disease information and intestinal state information derived from the analysis unit 11.

[0078] The present invention (i.e., the system 100 and the device 10) can manufacture (manufacture, develop, and provide) a diagnostic device 20 that enables the analysis of the microbial flora of a pet 40 by NGS analysis of a pet stool sample substrate. Using such a diagnostic device 20, it is possible to derive intestinal status information and current disease information based on the analysis of the intestinal microbiota of the pet 40 anytime, anywhere, and to provide customized services based on this information.

[0079] Typically, conventional research focuses on humans, analyzing the gut microbiota and forming microbiota distribution maps. In contrast, the present invention (the system 100 and the device 10) analyzes the gut microbiota of pet 40 by analyzing the five major beneficial bacteria and two types of harmful bacteria in pet 40, thereby deriving metabolic and immune diseases (current disease information) of pet 40.

[0080] This invention provides a technology for improving the health of pets throughout their life cycle, rather than relying on experimental animal research. This is achieved through disease-specific research based on the classification of biological information for collecting pet microbiome distribution maps. Based on the analysis of the characteristics and disease-related aspects of the gut microbiome according to the pet's species, age, etc., the invention can provide users with customized solutions for their pets.

[0081] By providing this service, the present invention (i.e., the system 100 and the device 10) can improve the mental quality of life (QOL) of pet owners by improving the health and extending the lifespan of pets through the construction of a microbial ecosystem map. Furthermore, the present invention can secure a technological advantage over pet health and medical technologies, and can manufacture and provide individually customized functional and therapeutic pet food that allows for the intake of deficient nutrients according to species and age group, based on platformed basic gut microbiota information of various pets. In addition, the present invention can provide a diagnostic device 20 according to the present invention as a biomarker and disease-related diagnostic device in the development of pet health diagnostic equipment. The present invention can generate distribution data of gut microbiota by species and age of normal pets (i.e., the first map) and distribution data of gut microbiota in pets with metabolic diseases (i.e., the second map), and can generate comparative data of gut microbiota distribution between normal pets and diseased pets (i.e., information listing the differences in the microbiota) through comparison of the first map and the second map.

[0082] <Regarding the relationship between pet diet and gut microbiota>

[0083] On the other hand, the relationship between pet diet and gut microbiota is as follows:

[0084] In South Korea and around the world, the number of people who own dogs is rapidly increasing. While dogs are increasingly recognized as family members, some owners provide homemade food or vegetarian-based diets instead of commercially available products. However, this can actually expose dogs to various health risks, and a thorough understanding and careful attention to this matter are essential.

[0085] Dogs lack amylase in their saliva and exhibit carnivorous characteristics such as a short digestive tract. However, during domestication, they became capable of digesting carbohydrates and taking up glucose through three genes (AMY2B, MGAM, and SGLT1). Based on this, there is a view that domestic dogs, which separated from Canis lupus familialis 15,000 years ago and entered the human living area, should be classified as omnivores, unlike in the past. Previous studies have shown that carbohydrate diets increased pH and decreased ammonia in fecal samples, while dogs fed a high-protein diet based on by-products generated when dissolving pig fat showed increased pH and persistent diarrhea.

[0086] Furthermore, a high-protein diet showed a decrease in volatile fatty acids due to a reduction in the intestinal metabolites propionic acid and acetic acid, while branched-chain fatty acids showed an increasing trend. In particular, studies have reported that dogs fed a high-protein diet showed increased levels of calprotectin, a marker of inflammatory bowel disease.

[0087] Many animals, including pet dogs, have a vast microbiome of over 1,000 species in their gastrointestinal tract (GIT). These intestinal microorganisms consist of bacteria, archaea, and viruses present in the digestive tract, and they primarily form commensal symbiotic relationships with their hosts.

[0088] The gut microbiota influences metabolic activity, protection from pathogenic harmful bacteria, and the immune system, and is involved in basic bodily functions and direct and indirect physiological functions.

[0089] In particular, the biogeographical characteristics of the gut microbiota show diverse changes depending on the diet, and the abundance of the bacterial community increases with the length of the GIT (Gut Isolation Tolerance). Analysis of bacterial phyla by 16S rRNA analysis of fecal samples from dogs revealed that the dominant phyla in most dogs were Firmicutes, Proteobacteria, Fusobacterium, Bacteroidetes, and Actinobacteria, but unique and stable bacterial communities different from the existing ones could also be identified depending on the individual.

[0090] Diet is the most important factor influencing the composition of the gut microbiota, and changes in the composition of the gut microbiota are known to affect the production of metabolites. Furthermore, gut metabolites are important factors that can influence the brain through systemic immunomodulation and retrograde transport, and many studies based on gut-brain bidirectional communication have been reported.

[0091] In South Korea, the diet of companion dogs has evolved from providing leftovers in the past to commercially available feeds that are nutritionally balanced. Regarding the composition of the gut microbiota between natural foods and commercially available feeds, dogs fed a natural diet consisting of meat (approximately 90%) and vegetables (approximately 10%) showed significantly higher numbers, species richness, and abundance of gut microbiota compared to dogs fed commercially available feeds.

[0092] Many animals form a vast gut microbiota that can be up to 10 times larger than their own genes. These microbiota have evolved into different lifestyles and are broadly classified into omnivores, carnivores, and herbivores. This provides fundamental information that diet affects changes in the composition of the gut microbiota, and therefore, an approach to diet based on an accurate understanding of the pet is necessary. Accordingly, the present invention aims to provide a customized service (for example, the provision of made-to-order pet food products) that matches the current gut health status and disease information of the user's pet by analyzing the gut microbiota (microorganisms) using fecal samples from pets 40.

[0093] In particular, to provide customized services, for example, when the intestinal state information of the pet 40 is derived, the analysis unit 11 in the device 10 compares the derived intestinal state information with the microbiota distribution map constructed by the construction unit 13, thereby determining whether the pet 40 currently has a disease, and if so, deriving current disease information including information on the type of chronic disease. Once the current intestinal status information and current disease information of pet 40 are derived from the analysis unit 11, the service provision unit 12 then, i) as an example, identifies the distribution information of the microbiome of a matching pet that matches the current conditions of pet 40 (which includes information on the breed, age, and weight of pet 40 that has been pre-entered from the user terminal 30, and the current disease information derived from the analysis unit 11) based on the microbiome distribution map constructed by the construction unit 13 (i.e., the distribution information of beneficial and harmful bacteria in the matching pet, including information on the types, number, and specific gravity of beneficial and harmful bacteria in the matching pet); and then, ii) compares the identified distribution information of the matching pet's microbiome with the intestinal status information of pet 40 (i.e., the current microbial analysis result information of pet 40, including information on the types, number, and specific gravity of beneficial and harmful bacteria currently present in pet 40's intestines). By doing so, information on the types and numbers of beneficial bacteria that are currently lacking or excessive in pet 40, and information on the types and numbers of harmful bacteria currently present in pet 40, is derived by comparing them with the distribution information of the microbiome of the identified matching pet. Then, as a customized service, iii) custom recipe information including nutrient information is generated and provided to the user terminal 30, which will either increase (suffice) the types and numbers of beneficial bacteria that are currently lacking in pet 40 (in particular, increase them so that they consist only of the types and numbers of beneficial bacteria included in the distribution information of the microbiome of the identified matching pet), decrease the types and numbers of beneficial bacteria that are currently excessive in pet 40, or decrease the harmful bacteria currently present in pet 40, or information on made-to-order pet food products manufactured based on the custom recipe information including nutrient information is provided to the user terminal 30.

[0094] On the other hand, the diversity of the gut microbiota gradually decreases with age, which is known to result in a decline in physical function, cognitive function, and physiological function. In particular, the decrease in gut microbiota associated with aging indicates immunological aging and persistent chronic inflammation. Many diseases affect or are affected by gut microbiota, inducing an imbalance in the gut microbiota, which is involved in the course of the disease, the worsening and acceleration of symptoms.

[0095] Imbalances in the gut microbiota and resulting changes in metabolites that affect innate immunity and immunomodulation can simultaneously influence diarrhea. Previous studies analyzing the gut microbiota of healthy dogs and dogs suffering from non-hemorrhagic diarrhea (NHD), acute hemorrhagic diarrhea (AHD), or inflammatory bowel disease (IBD) have concluded that these imbalances are due to changes in Firmicutes, Proteobacteria, and Actinobacteria.

[0096] Changes in the gut microbiota also affect the production of short-chain fatty acids (SCFAs). In particular, a decrease in Elysipelotrichaceae, Ruminococcus, and Blautia has been shown to reduce the production of SCFAs involved in immune function regulation. Furthermore, in acute diarrhea, a decrease in Faecalibacterium and unclassified Ruminococceae species and an increase in Clostridium perfringens may appear to affect the decrease in propionic acid and the increase in butyrate.

[0097] A key characteristic of the pet care products market in South Korea is that individuals and small and medium-sized enterprises (SMEs), including startups, drive the development of the industrial ecosystem. Analysis of related patent applicants revealed that while large corporations account for only 2%, individuals and SMEs make up 88% of the market.

[0098] The pet care market can be broadly divided into three areas: 1) Pet Humanization, which means treating pets as family members; 2) Pet Tech, which incorporates advanced technologies such as IoT and AI; and 3) Innovative veterinary diagnostic medicine, which provides early diagnosis and treatment. In particular, the pet health sector is attracting attention, with increasing development challenges in the functional food sector by small and medium-sized enterprises (SMEs) and venture companies, such as the development of pet food and functional feeds, which are recent growth-driven industries such as foods made from human food ingredients.

[0099] Furthermore, wearable devices are being developed that can easily diagnose disease risk in advance using digital technology and big data. Recently, various studies have been attempted to produce new functional feed formulations by analyzing the components of the intestinal microbiota of pets for the purpose of manufacturing functional feeds, but most of these feeds contain complex nutritional supplements or are made from natural materials.

[0100] Furthermore, while research is underway to improve health, enhance immunity, and produce safer feed by manufacturing customized feeds for individual pets, recognizing that each pet has a different gut microbiome, research in the area of ​​early diagnosis related to disease development is in its early stages.

[0101] However, most research is based on technologies for diagnosing human diseases and has the disadvantage of relying on samples obtained through invasive blood sampling. Furthermore, there are differences between individuals and variations in the distribution of gut microbiota depending on the composition and type of feed, necessitating the development of customized analytical systems that can address individual nutritional deficiencies through microbiota analysis.

[0102] Therefore, the objective of the present invention (i.e., the system 100 and the device 10) is to provide a non-invasive method for checking the health status of pets by constructing an analysis map of the microbiome platform based on the distribution and abundance of the intestinal microbiome of pets necessary for manufacturing customized pet food, using analysis of the microbiome using stool samples from pets, and based on this, a technology that can grasp the health status of pets (i.e., intestinal status information and current disease information, etc.).

[0103] This device 10 is a pet intestinal microbiome diagnostic kit product, and can manufacture and provide a diagnostic device 20. Specifically, it can manufacture and provide a diagnostic device 20 as a stool sample basis and as a biomarker based on NGS analysis. It can platform the data base obtained from diagnosing the intestinal microbiome of pets, including the types, distribution, and abundance of the intestinal microbiome, and can provide customized dietary solutions (customized services) tailored to each disease based on the constructed abundance base.

[0104] This device 10 can design a diagnostic instrument 20, which is a diagnostic kit for the intestinal microbiota of pets, by applying customized requests for user convenience, designing a safe product, and developing and applying biomarkers for the detection of five major bacterial species.

[0105] The device 10, in order to create a platform for the abundance of the intestinal microbiota (that is, in other words, for the construction of a microbiota distribution map in the construction unit 13), generates pie charts of the proportion of beneficial bacteria in stool samples from pets of different species, age groups, and weights (normal group pets), generates pie charts of the proportion of harmful bacteria in stool samples from pets of different species, age groups, and weights (normal group pets), performs NGS analysis on stool samples from breeds with digestive metabolic diseases such as diarrhea and constipation (disease group pets), then creates a platform for the microbiota distribution map of the intestinal microbiota database base by healthy species and age groups (i.e., generates a first map), and also creates a platform for the microbiota distribution map regarding the proportion of microbiota distribution in diseased breeds (i.e., generates a second map), thereby enabling the construction of a microbiota distribution map that includes both the first and second maps.

[0106] Furthermore, in connection with providing customized dietary solutions (customized services) tailored to each disease, the device 10 can, for example, provide customized dietary solutions tailored to pet 40 as a customized service by performing NGS analysis on stool samples from pet 40. Also, if pet 40 has a disease (if current disease information is detected), the device can generate and provide customized therapeutic food (for example, custom recipe information) tailored to the disease that pet 40 currently has.

[0107] This device 10 provides a diagnostic instrument 20 capable of diagnosing the intestinal microbiota of a stool sample substrate. Considering that most processes, both domestically and internationally, only proceed up to the analysis stage, resulting in poor usability and the lack of customized solutions for individual pets, this device 10 can be manufactured (developed) and provided as a diagnostic kit for the intestinal microbiota of a stool sample substrate, in conjunction with the development of customized solutions (diet). This will contribute to the significant advancement of the pet healthcare industry and improve competitiveness.

[0108] Furthermore, this device 10, by providing an information platform for the abundance of the intestinal microbiota of pets (i.e., by constructing a microbiota distribution map), can represent, for example, the distribution ratio of five or more beneficial bacterial species, the distribution ratio of at least two or more harmful bacteria in the intestines of pets, and the ratio of beneficial bacteria in pet samples with at least two or more digestive metabolic diseases, using pie charts. Considering that this platformization of microbiota distribution maps has not been attempted domestically or internationally, it can provide a customized, highly accurate diagnostic information system for pets, thereby greatly contributing to the lifespan and health of pets, and synergistic effects with veterinary hospitals in collaboration with it can be expected.

[0109] When measuring the proportion of beneficial bacteria in fecal samples from multiple pets using NGS analysis of the fecal sample base, the device 10 can use, for example, 20 samples (or animals) for a pie chart of beneficial bacteria proportion, 20 samples (or animals) for a pie chart of harmful bacteria proportion, 10 samples (or animals) when analyzing beneficial bacteria in at least two types of digestive metabolic diseases, and 30 samples (or 30 animals) when constructing an intestinal microbiota analysis map.

[0110] When constructing a microbiota distribution map, the construction unit 13 can, for example, generate pie charts showing the proportion of beneficial bacteria and harmful bacteria in normal group pets, and a pie chart showing the proportion of harmful bacteria in vaginal bacteria pets, by NGS analysis. Furthermore, by interpreting the distribution rates of at least five types of beneficial bacteria, as an example, it can construct (generate, create) a microbiota distribution map as an intestinal microbiota map.

[0111] In particular, the construction unit 13 can: i) generate a pie chart of the proportion of beneficial bacteria corresponding to the distribution ratio of five or more beneficial bacterial species in the intestines by NGS analysis of fecal samples from pets by species, age group, and weight, in which case the number of measurement samples may be 20; and ii) generate a pie chart of the proportion of harmful bacteria corresponding to the distribution ratio of at least two or more harmful bacteria by NGS analysis of fecal samples from pets by age group and weight, in which case the number of measurement samples may be 20. Furthermore, the construction unit 13 can: iii) generate a pie chart of the proportion of harmful bacteria (disease group) corresponding to the proportion of beneficial bacteria in pet samples of at least two types of digestive metabolic diseases by NGS analysis of fecal samples from pets with digestive metabolic diseases such as diarrhea and constipation, in which case the number of measurement samples can be 10; and iv) construct (generate, create) a microbiota distribution map corresponding to the intestinal microbiota analysis map by creating a microbiota distribution map platform based on a healthy breed and age-specific intestinal microbiota database and analyzing the proportion of microbiota community distribution in diseased breeds, in which case the number of measurement samples can be 30.

[0112] This device 10 can create a platform for a database of intestinal microbiota of pets in both normal and diseased groups by constructing a microbiota distribution map. Furthermore, it can manufacture and provide users with customized pet food products tailored to each pet 40, containing functional therapeutic pet food containing disease-specific supplements that show differences between normal and diseased groups.

[0113] This device 10 can create a platform for pet intestinal microbiota data by constructing a microbiota distribution map. Based on the platformed basic intestinal microbiota information of pets (for example, the first map), it can manufacture and provide customized functional and therapeutic pet food products that provide the necessary nutrients according to species and age group. This allows the device to provide users with a pet food product that is quantifiable and reliable, unlike the vaguely defined customized products of the past.

[0114] Furthermore, the device 10 can manufacture and provide customized pet food products (e.g., animal feed) as personalized functional therapeutic diets based on a diagnosis of the gut microbiota. While most commercially available pet feeds are mass-produced feeds based on basic manufacturing methods and are not customized, the customized pet food products (e.g., animal feed) provided by the device 10 can be products (e.g., animal feed) manufactured on a one-to-one basis for each individual pet 40 based on a diagnosis of the gut microbiota. The device 10 can manufacture and provide such customized pet food products to users, enabling the feeding of pets 40 with feed optimized for them without nutritional deficiencies or loss.

[0115] Figure 2 is a diagram illustrating the process by which a microbiome distribution map is constructed by the construction unit 13 within the pet-specific customized service provision device 10 of the intestinal microbiome analysis platform according to one embodiment of the present invention.

[0116] Referring to Figure 2, as an example, the construction unit 13 can derive results by performing microbiome analysis using samples (fecal samples) from multiple pets based on the following comparative analysis.

[0117] The construction unit 13, for example, collects (samples) fecal samples from multiple pets to construct a microbiome distribution map. It then performs an intestinal microbiome analysis on the collected fecal samples by species, age group, and weight. This allows for the classification and analysis of the types and distribution of beneficial and harmful bacteria, and by creating a platform for the distribution of microbiomes present in the intestines, a microbiome distribution map can be constructed. Furthermore, the construction unit 13 can compare and analyze the distribution of the intestinal microbiome of pets with digestive diseases (i.e., a second distribution map) with a platform-based microbiome map derived from normal pets (for example, a first map), thereby creating a platform for disease-specific microbiome maps (i.e., a second map).

[0118] This device 10, based on a microbiome distribution map constructed to include a first map and a second map, can understand the nutritional balance of each pet species and individual pets, even between species, and enable the production of one-to-one customized therapeutic diets (custom-made pet food products).

[0119] At this time, the construction unit 13 can collect (secure) stool samples categorized by pet species, age, and weight, for example, through the cooperation of companies and customers currently using its services. Furthermore, by performing NGS analysis on multiple collected stool samples, the construction unit 13 can derive the distribution ratio of beneficial and harmful bacteria within the stool samples. Based on this, it can construct (generate, create) a microbiome distribution map. At this time, the construction unit 13 can also construct the microbiome distribution map (execute platformization), and as an example, it can construct the microbiome distribution map by applying artificial intelligence analysis technology based on deep learning data analysis (i.e., by applying a trained artificial intelligence model).

[0120] In this case, the artificial intelligence (AI) model used by the construction unit 13 can refer to machine learning models, neural network models, neuro-fuzzy models, and so on. Furthermore, the AI ​​model can apply to various neural network models that are already known or will be developed in the future, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep neural networks.

[0121] Furthermore, the construction unit 13 creates a pie chart by analyzing fecal samples collected from pets with diseases, comparing and analyzing microbial communities that are deficient or different from those in healthy pets, and then creates a platform that can be used as basic data for the future production of customized functional therapeutic pet food.

[0122] Furthermore, the constructor 13 can analyze the abundance of the gut microbiota by analyzing fecal samples from multiple pets, and analyze the relationship (correlation) with microorganisms for each disease. In this case, the constructor 13 can derive a correlation between the gut microbiota, the pet's dietary habits, and the disease, for example, that "gut microorganisms may influence health status, and gut microorganisms can change and be formed by dietary habits."

[0123] For example, the following are examples of microorganisms that can affect a pet's health and can be altered or formed by dietary habits. The following describes the [name - phylogenetic group - role and characteristics] of each microorganism. Specifically, microorganisms that affect a pet's health and are influenced by dietary habits include: 1) Firmicutes phylum - 5 major species - diet-related microorganisms, 2) Bacteroidetes phylum - 5 major species - diet-related microorganisms, 3) Proteobacteria phylum - 5 major species - intestinal inflammation-related microorganisms, 4) Clostridium perfringens phylum - Firmicutes phylum - intestinal disease-related microorganisms, 5) Brautia genus - Firmicutes phylum - beneficial bacteria that protect the intestines, 6) Bifidobacteria and Lactobacillus genus - Actinobacteria phylum - beneficial bacteria that help the intestinal environment as probiotics, and 7) Enterococcus faecium - Firmicutes phylum - microorganisms that help maintain the intestinal environment but can cause antibiotic resistance if present in excess.

[0124] For example, in the case of microorganisms that provide results (analysis results), the construction unit 13 can select microorganisms that affect the intestinal microenvironment based on five representative major species of bacteria (Firmicutes, Bacteroidetes, Actinobacteria, Probiotics, and Fusobacteria).

[0125] <Firmicutes and Bacteroidetes>

[0126] Studies have shown that Bacteroidetes abundance is greater in the high-fiber diet group than in the low-fiber diet group, while Firmicutes abundance is greater in the low-fiber diet group than in the high-fiber diet group. This device 10 can prepare appropriate recipes according to each numerical value and can be used as a concept for therapeutic diets.

[0127] Bacteroidetes exhibit different microbial abundances depending on whether the microbial family is high in protein and low in carbohydrates, or low in protein and high in carbohydrates.

[0128] Furthermore, it was found that the number of Firmicutes tends to increase in the case of a high-protein, low-carbohydrate diet. Based on this, if the intestinal status information of a pet 40 is derived to show that "the number of Firmicutes microorganisms distributed in the intestines is greater than a predetermined number," the device 10 can provide a customized service (e.g., a made-to-order pet food product), such as providing information on a made-to-order pet food product that corresponds to a low-carbohydrate therapeutic diet, or manufacturing and providing a made-to-order pet food product that corresponds to a low-carbohydrate therapeutic diet.

[0129] <Probiotics>

[0130] For example, the construction unit 13 can derive analysis results from the analysis of fecal samples collected from multiple pets, showing that the distribution and roles of the gut microbiota differ depending on the diet, and that the best state for pets is not one in which either Firmicutes or Bacteroidetes are excessively distributed, but rather a state in which they are balanced in a 5:5 ratio.

[0131] Among the microorganisms belonging to the Proteobacteria, Anaerobispirium can cause diarrhea and bacteremia in immunocompromised humans, but analysis has shown that dogs carrying this microorganism do not pose a risk factor for infection. This suggests that nutritional imbalances may occur during pet feed manufacturing, based on human standards. Therefore, it is essential to supply pet-appropriate feed manufactured by pet companies with expertise in pets, after precise analysis.

[0132] Clostridium perfringens

[0133] Studies have shown a correlation between Clostridium perfringens and acute diarrheal diseases in pets, suggesting that regular testing can prevent and anticipate diarrheal diseases by increasing the levels of this microorganism.

[0134] In the case of Clostridium perfringens, it is a microorganism that requires caution as it can induce food poisoning in humans, but for pets, it is a microorganism that is normally present in the intestines of most pets, and problems arise when its number increases rapidly. Therefore, as an example, if the intestinal condition information of pet 40 is derived to be, for example, "the number of Clostridium perfringens is above the critical limit," the device 10 can determine that there is a risk of health problems for the pet caused by this microorganism, and can then manufacture and provide a customized pet food product containing nutrients that can reduce the number of Clostridium perfringens thereafter.

[0135] <Blautia>

[0136] Microbial blautia is involved in the production of SCFAs, which are involved in the prevention of inflammatory bowel disease in pets, protect the intestines from pathogens through anti-inflammatory function, and regulate immune function, and has the characteristic of increasing when a high-protein diet is given. Therefore, if, for example, the intestinal status information of pet 40 shows that "the number of blautia is less than a predetermined number," the device 10 can provide the user terminal 30 with custom recipe information corresponding to a high-protein diet or a made-to-order pet food product that can be made into a high-protein diet, in order to increase the number of blautia.

[0137] <Bifidobacterium and Lactobacillus>

[0138] These are probiotics, which are beneficial bacteria that are good for the intestinal environment of pets. Probiotics (lactic acid bacteria) are very well-known beneficial bacteria and belong to the intestinal microorganisms for which maintaining a balance of microorganisms is essential. Therefore, if the intestinal status information of the pet 40 indicates that "the number of Bifidobacterium and Lactobacillus is below a predetermined number," the device 10 can provide the user terminal 30 with custom recipe information that can increase them or a made-to-order pet food product that allows for a high-protein diet.

[0139] Enterococcus faecium

[0140] While this microorganism is beneficial for maintaining the intestinal environment of pets, if it becomes excessively dominant, it develops antibiotic resistance, reducing the efficacy of medications taken by pets. Therefore, if the intestinal status information of pet 40 indicates that the number of Enterococcus faecium falls outside a predetermined acceptable range, the device 10 can provide the user terminal 30 with custom recipe information or a customized pet food product that allows for a high-protein diet, so that the number of Enterococcus faecium falls within that range.

[0141] On the other hand, it has been proven that the microbiome of pets and the microbiome of humans are structurally and functionally similar to each other. This suggests that when conducting research on the microbiome of pets, it is acceptable to refer to the results of research on the human microbiome, which has many precedents. Therefore, this device 10 can analyze the microbiome of pets by referring to the results of conventional research on the human microbiome, and in light of the close relationship between the gut microbiome and dietary habits, it can provide a one-to-one customized functional therapeutic diet for pet 40 based on this point and the results of the microbiome analysis of pet 40.

[0142] This device 10 can create a platform for interpreting the gut microbiota (i.e., a microbiota distribution map) based on pet breed, age, weight, etc., and based on this, it can be standardized for healthy pets and used in the pet food industry and in the development of health nutrition supplements and probiotic technologies. Furthermore, this device 10 can use the constructed microbiota distribution map as basic data for the future development of probiotic products, enabling the production of customized functional therapeutic pet food for pets.

[0143] In this invention, the pet's microbiome (intestinal microbiome) refers to the microbiome and genetic information that inhabit and maintain a symbiotic relationship within the pet, and the nutrients required by pets differ depending on their living environment. Therefore, in light of the deep relationship between the pet's microbiome, health, and disease, the device 10 can provide a customized service tailored to pet 40, taking into account the intestinal state information and current disease information, which are the results of microbiome analysis of pet 40. When providing the customized service, the device 10 can manufacture and provide custom-made pet food products, thereby allowing pet 40 to improve its constitution by consuming these custom-made pet food products.

[0144] The device 10 can provide a customized nutritional therapy platform for pets, offering services that analyze and diagnose pets' gut health and current disease information through a pet food platform, and can provide customized services as solutions that can improve current disease information. The device 10 can platform pet health data by diagnosing and analyzing the gut microbiome of multiple pets, and based on this, can provide customized recipes, customized healthcare services, specialty medications, nutritional supplements, and pet food products such as functional foods for specific pets 40.

[0145] Figure 3 is a schematic diagram showing the product shape of a diagnostic device 20 included in a customized service provision system 100 for pets based on an intestinal microbiome analysis platform according to one embodiment of the present invention.

[0146] Referring to Figure 3, the diagnostic device 20 envisioned in this system 100 is a diagnostic kit capable of diagnosing the intestinal microbiota. For example, the packaging design of the diagnostic kit may be configured as a 4-in-1 set, and it may be made so that it can be recognized as a pet product, including a picture of a pet. The diagnostic device 20 may also be manufactured through research and development by deploying specialists after introducing the company's own diagnostic equipment and systems. Such a diagnostic device 20 can diagnose the presence or absence of diseases (e.g., digestive diseases) and the type of pre-existing conditions.

[0147] The device 10 provides customized services based on the analysis of the gut microbiome of pets 40. For example, it can provide personalized care management by recommending and offering customized healthcare meal services through monitoring the gut microbiome (microorganisms) of pets 40, and can also provide custom recipe services through fecal microbiome analysis. In particular, when providing customized services, the device 10 can provide optimized results using a GMS score derived from various data such as the balance state of the gut microbiome, beneficial bacteria and harmful bacteria indices, and disease indicators, for example, using an artificial intelligence model (machine learning technology), thereby increasing accuracy with validated data for pets.

[0148] By providing this service, the device 10 enables the construction of big data on the gut microbiota through the diagnosis and analysis of stool samples, ensuring high-quality, customized veterinary nutrition healthcare data. This can also serve as a foothold for entry into the healthcare industry (i.e., providing customized pro- and prebiotics), and can improve pet food loyalty through premium, customized healthcare services.

[0149] Furthermore, this device 10 can provide customized healthcare collaboration services, and in connection with this, it can provide premium health checkup and veterinary hospital collaboration functions, premium custom-made pet food therapeutic diet provision functions, management and treatment collaboration functions specializing in chronic diseases, pet diet services for obesity and diabetes, premium hoteling and kindergarten management services, etc.

[0150] The service provider unit 12, in providing customized services tailored to the pets 40, can, for example, provide individually customized functional therapeutic diets tailored to each pet. In this regard, the service provider unit 12 can, as an example, determine the ratio and distribution of beneficial and harmful bacteria for each individual pet through gut microbiota analysis and diagnosis, understand each individual's eating habits based on the obtained data, and then provide a customized service that provides a method (solution) to increase beneficial bacteria and decrease harmful bacteria. Furthermore, the service provider unit 12 can provide optimized therapeutic diets based on the gut microbiota analysis results of the pets 40 for pet owners who desire customized therapeutic diets (for example, custom recipes or made-to-order pet food products).

[0151] Figure 4 is a diagram illustrating the process by which a customized pet service provider device 10 for a gut microbiome analysis platform according to one embodiment of the present invention manufactures and provides lactic acid bacteria as a custom-made pet food product based on the gut microbiome analysis of a pet 40.

[0152] For example, the device 10 can collect fecal matter from a pet 40, perform an intestinal microbiome analysis on the collected fecal matter, derive intestinal state information including the types and number of lactic acid bacteria in the pet 40, and based on the derived intestinal state information, produce recommended and customized probiotics and provide them to the user as a customized service.

[0153] At this time, referring to Table 1 in Figure 4, it can be confirmed that the types and numbers of lactic acid bacteria present in each sample (individual) of multiple pets differ. Based on this sampling data showing that the types and numbers of lactic acid bacteria present in each sample differ, the device 10 can select the necessary lactic acid bacteria for each individual and produce and provide customized probiotics for pets 40 as made-to-order pet food products.

[0154] Referring to Table 2 in Figure 4, by performing gut microbiota analysis on fecal samples from multiple pets, it is possible to confirm information such as the amount of various microorganisms present in the intestines of each individual pet (i.e., information such as the types and number of microorganisms present in each individual). Based on these points, the device 10 can identify the vulnerabilities of each individual, recommend dietary habits suitable for pet 40, and even manufacture and provide customized therapeutic diets (custom-made pet food products).

[0155] Figures 5 to 8 are schematic diagrams showing data for each sample of the customized service provision device 10 for pets, which is an intestinal microbiome analysis platform according to one embodiment of the present invention.

[0156] Referring to Figures 5 to 8, the construction unit 13 within the device 10 can, for example, construct a microbial community distribution map, and as shown in Figures 5 to 8, it is possible to create various diagrams for each sample (i.e., for each stool sample collected from multiple pets), thus enabling analysis to generate microbial abundance, distribution maps, and biomaps and to create a platform.

[0157] Furthermore, the construction unit 13 analyzes gut microbiota data according to the type and age of the pet, creating a platform for the distribution information system of beneficial bacterial species. By further analyzing the relationship with diseases based on the constructed information, it becomes possible to provide even more improved healthcare services through the production of personalized functional pet food.

[0158] Furthermore, in the process of constructing a microbiome distribution map, the construction unit 13 can, for example, prepare analysis samples from two or more metabolic disorders (constipation, diarrhea, etc.) and a normal group, and analyze a microbiome distribution map of probiotic microbiomes using next-generation sequencing (NGS). After performing next-generation sequencing (NGS) analysis using the various prepared samples, it can derive the results, and derive probiotics (Lactobacillus, Firmicutes, Enterococcus faecium, Clostridium, Proteobacteria, etc.) from the derived results. In addition, the construction unit 13 may perform intestinal microbiome analysis in various pet species groups with samples provided by companies to secure diverse samples, analyze the results, create an information map of the microbiome (i.e., a microbiome distribution map), and provide the platformized material to companies. If necessary, it may perform a precise analysis of the derived results using an artificial intelligence model.

[0159] Furthermore, for example, the construction unit 13 of this device 10 may analyze the correlation between saliva and feces in multiple pets. In this case, the construction unit 13, through research on the microbiota using feces, can analyze the correlation between fecal disease and inflammation-related biomarkers and salivary inflammation-related biomarkers in animals with diseases, not just healthy animals. For example, it can derive information on the relationship between oral and intestinal microbiota and disease, and based on this, can provide customized services. For example, the construction unit 13 can collect fecal samples (stool samples) to obtain the individual's medical history, and at the same time collect both saliva and oral microorganisms to analyze their relationship (relationship) with the fecal intestinal microbiota and inflammation-related biomarkers.

[0160] This device 10 can develop and provide customized diets based on the abundance of gut microbiota for each pet disease, provide customized disease solution technology based on scientific data, increase sales for related companies through the manufacture of functional nutritional feeds, reduce medical costs through improved pet healthcare, and expand job creation related to the revitalization of the pet healthcare industry. Furthermore, this device 10 can improve the mental quality of pet owners by improving pet health and extending lifespan through the construction of an ecosystem map of the gut microbiota (i.e., a microbiota distribution map).

[0161] Furthermore, the device 10 can receive subjective questionnaire responses (medical interviews) predicted by the user, who is the caretaker of the pet 40, from the user terminal 30, and based on this, provide a customized meal. In addition, the device 10 can feed the pet 40 a one-to-one customized functional therapeutic diet based on the information shown on the actual data provided by the diagnostic equipment 20, diagnose the current health status of the pet, recommend diets and other measures according to the condition, present possibilities for treatment and improvement, and ultimately provide comprehensive nutritional supplements and premium services tailored to health, nutrition, and life cycle.

[0162] Furthermore, the regular delivery management unit 16 within this device 10 can provide a regular delivery service that directly customizes fresh feed (raw food) based on premium fresh ingredients (organic, environmentally friendly, etc.) for pet owners (users) who care about their pet's health, and delivers it via a non-face-to-face online subscription. By providing this regular delivery service, this device 10 enables users to customize the composition of feed ingredients and replenish additional nutritional supplements through a non-face-to-face online service, and also allows them to directly select the time and location of the delivery service.

[0163] Furthermore, in providing a regular delivery service, the device 10 can, for example, offer a web / app platform as a beta service that allows users to check specialized and useful information on pet health, nutrition, and life cycle, and purchase customized fresh feed. It can also manufacture custom-made pet food products and provide a community (blog) and hygienic manufacturing facilities that can reflect customer needs at any time.

[0164] Figure 9 is a diagram illustrating the customized services provided by the customized service provider device 10 for pets, which is a gut microbiome analysis platform according to one embodiment of the present invention.

[0165] Referring to Figure 9, the device 10 can receive input from a user terminal 30 as pet information, such as breed, age, physical information (weight, etc.), intake information (eating habits), and exercise information (activity level). In relation to eating habits, information such as defecation status and whether or not the pet is on a diet may also be input. Furthermore, nutritional information from a veterinary nutrition perspective, such as the presence or absence of disease and nutritional composition, can also be input. The device 10 can also analyze preferences and satisfaction levels for product purchases through algorithms on a mathematical analysis platform, and develop a pet customization platform based on big data. In connection with this, it can develop and provide a trend prediction model and a customized app / website for pets. Moreover, based on the acquired pet information and big data analysis information, the device 10 can provide customized services for pets 40, such as recommendations for made-to-order food, provision of health checkup equipment, provision of health alerts, provision of automatic ordering and delivery date management functions, veterinarian collaboration diagnostic functions, and a function to recommend precise analysis according to activity level.

[0166] In other words, if pet information is input from the user terminal 30, the device 10 may produce a customized fresh pet food product based on the input pet information and deliver it to the user on a regular basis, or it may provide customized meals and care services for the pet 40.

[0167] This device 10 can manufacture and provide customized feeds based on the functionality of the microbiome analysis base for individual pets and therapeutic diets. For example, it can provide a service that offers customized meals for pets based on questionnaires from pet owners, and can also provide pets 40 with precisely customized meals using diagnostic equipment 20. Furthermore, this system 100 can evaluate the condition of pets before and after a user subscribes to a specific customized pet food product based on various information stored in the database unit 15, and recommend other meals to the user. This allows for the provision of more accurate and scientifically-backed meals to pets 40 based on information rather than just the user's feelings, thereby providing a highly reliable service to users (customers).

[0168] Furthermore, the device 10 can also provide the following functions, for example: The control unit 17 can provide the user with a veterinary hospital reservation service that allows the user to reserve (book appointments for consultations at) offline veterinary hospitals and make them available.

[0169] Specifically, in order to provide a veterinary hospital reservation service, when the control unit 17 detects that the user has selected a veterinary hospital reservation button located in a certain area of ​​the user terminal 30's screen, it can display veterinary hospital map information on the user terminal 30's screen, which shows the locations of multiple offline veterinary hospitals on a map. Thereafter, after the user selects the icon of a first veterinary hospital, which is one of the veterinary hospitals they wish to visit from among the multiple veterinary hospitals displayed on the veterinary hospital map information, the control unit 17 creates a medical appointment request data for making a medical appointment. Subsequently, the medical appointment request data created by the user can be saved and managed in a reservation DB (not shown) within the device 10.

[0170] The appointment request data may include, as an example, the visitor's name, desired date and time of visit, information about the first animal hospital to be visited (e.g., name of the animal hospital, address, phone number, etc.), and data such as the breed, age, and weight of the pet.

[0171] The control unit 17 monitors the saved appointment request data created by the user after it has been stored in the appointment database (not shown). For example, when the day arrives that corresponds to the desired appointment date in the appointment request data, it can provide an appointment notification message on the screen of the user terminal 30. For example, the appointment notification message may contain information such as, "Today is your appointment day at the first animal hospital. Please come at the scheduled time."

[0172] Furthermore, on the day of the appointment, the control unit 17 can provide a notification of the appointment information to the terminal held by the hospital staff of the animal hospital corresponding to the information of the first animal hospital in the appointment request data (i.e., the first animal hospital). Here, the notification of the appointment information may be something like, "User A has an appointment scheduled for 2 PM." For this purpose, the device 10 can, for example, be linked with an animal hospital terminal (not shown) via a network to send and receive data, and can control the operation of both the animal hospital terminal and the user terminal.

[0173] In the past, it was common for several users to make appointments at animal hospitals but then fail to show up (so-called no-shows). Such no-shows cause financial and time-related damage to the animal hospital (the one that made the appointment).

[0174] To prevent such non-fulfillment of reservations, the control unit 17 can, for example, perform a determination procedure to determine whether or not there is a possibility of the user failing to fulfill their reservation when the day corresponding to the desired visit date in the medical appointment application data arrives.

[0175] Specifically, in order to perform the decision procedure, when the day corresponding to the desired visit date in the medical appointment application data arrives, and the decision point (for example, 1:30 p.m.) is determined to be a time when the GPS sensor of the user terminal 30 held by the user is OFF, the control unit 17 controls the GPS sensor to be forcibly turned ON, thereby acquiring the location information (for example, GPS information) of the user terminal 30 in real time for a predetermined measurement time (for example, 2 minutes) from the decision point. After that, the GPS sensor is forcibly turned OFF again, and then movement trajectory information corresponding to the movement of the user terminal 30 corresponding to the measurement time is generated based on the location information of the user terminal 30 acquired in real time.

[0176] In this case, the user may be a user who has registered as a member of the service provided by the device 10. The control unit 17 can obtain data from the user in advance, in the database unit 15 of the device 10, indicating the user's consent to the forced collection of location information from the user terminal 30 by forcibly turning the GPS sensor of the user terminal 30 on or off, and to the use of the collected location information, when the user connects to the device 10 and registers as a member. Based on this data, the control unit 17 can forcibly turn on the GPS sensor of the user terminal 30 at a given time, or subsequently turn it off. For example, the device 10 may, as one example, allow only users who have provided the aforementioned data to use the service, particularly the animal hospital reservation service.

[0177] On the other hand, after generating the movement trajectory information, the control unit 17, based on the animal hospital map information, determines that the movement trajectory information (all movement trajectory information) is located within a predetermined distance range (for example, a range belonging to a distance of 1.5 km) from the location of the first animal hospital on the map. In this case, the control unit 17 determines that there is little or no possibility of the user failing to fulfill their reservation and generates first judgment result information informing that the possibility of reservation failure is low, which can then be transmitted, for example, to a terminal (not shown) at the animal hospital. Here, the first judgment result information may be, for example, "It has been determined that User A, who has a medical appointment scheduled for 2 PM, is currently within a distance range (radius) of 1.5 km, and the possibility of reservation failure is low. It appears that the user will be arriving soon."

[0178] On the other hand, if the control unit 17 determines that the movement trajectory information (all movement trajectory information) is not located within the preset distance range (i.e., if it determines that at least a portion of all movement trajectory information is outside the preset distance range), it can derive first direction-related information corresponding to the generated movement trajectory information based on the animal hospital map information (i.e., direction information for the direction of movement in the movement trajectory information, indicating which direction the user terminal is facing as it moves), then derive second direction-related information which is the direction from the starting position of the position information in the movement trajectory information toward the animal hospital location of the first animal hospital on the animal hospital map information, and then perform a direction identity determination process to determine whether the two pieces of direction-related information, including the derived first direction-related information and the derived second direction-related information, correspond to each other (i.e., whether they face the same direction).

[0179] At this time, if the control unit 17 determines, as a result of the direction identity determination process, that the two direction-related pieces of information correspond to each other (for example, if both pieces of direction-related information correspond to each other because they are both moving from east to west), it derives the estimated travel time from the last position of the location information in the movement trajectory information to the location of the animal hospital based on the animal hospital map information. At this time, it analyzes the position change information of the location information in the movement trajectory information. For example, if it is analyzed that the user is moving on foot, it derives the estimated travel time based on walking. If it is analyzed that the user is moving using a means of transportation such as a taxi, it derives the estimated travel time based on the means of transportation. Here, the estimated travel time can mean information that predicts (forecasts) the time required for travel.

[0180] At this time, if the two estimated movement times, including the estimated movement time of the walking base and the estimated movement time of the moving means base, are, for example, 25 minutes and 13 minutes, and both of these estimated movement times are shorter than the preset time considered when setting the decision time (i.e., 30 minutes), the control unit 17 determines that the user who has made a medical appointment at the first animal hospital is not currently located within the aforementioned preset distance range (i.e., the user is currently a little distance from the animal hospital), but is able to come to the first animal hospital by the desired arrival time (e.g., 2 p.m.), which is the time the user has made a reservation. The control unit 17 then generates first decision result information indicating that the possibility of such non-fulfillment of the reservation is low, and can transmit it, for example, to the terminal at the animal hospital.

[0181] Incidentally, the control unit 17 determines if, i) as a result of the direction identity determination process, the two direction-related pieces of information correspond to each other, and the two predicted travel times are, for example, 2 hours and 50 minutes, respectively (i.e., for example, the predicted travel time for the walking base is 2 hours and the predicted travel time for the means of transport base is 50 minutes), and both predicted travel times are longer than the preset time considered when setting the determination time (i.e., 30 minutes), or ii) the two direction-related pieces of information do not correspond to each other, and the predicted travel time is longer than the preset time (i.e., 30 minutes), then the control unit 17 determines that the user who has made a medical appointment at the first animal hospital is currently outside the preset distance range and far from the location of the animal hospital, and that even if the user were to immediately travel to the location of the animal hospital using means such as a taxi, the user would not be able to arrive at the first animal hospital by the desired arrival time (i.e., 2pm), which is the time the user has made a medical appointment. Thereafter, the control unit 17 generates a second determination result information indicating that "there is a high possibility that the user will not fulfill their appointment" and can transmit it, for example, to the terminal of the animal hospital.

[0182] Here, the second judgment result information may be, for example, "User A, who has a medical appointment scheduled for 2 PM, is currently far away and is unlikely to arrive before 2 PM, therefore the possibility of non-fulfillment of the appointment is considered high. Confirmation is required." At this time, a hospital staff member at the animal hospital terminal who has received the second judgment result information may, for example, call the user terminal 30 based on the provided second judgment result information to confirm whether the user can arrive within the desired arrival time set by the user.

[0183] Furthermore, the control unit 17 can generate a second judgment result information and transmit it to the animal hospital terminal, and at the same time generate confirmation guidance information to confirm, for example, whether or not the patient can come to the hospital, and display it on the screen of the user terminal 30 (i.e., the user terminal screen). After that, it can generate a third judgment result information according to the type of response from the user to the confirmation guidance information and transmit it to the animal hospital terminal.

[0184] At this time, after providing confirmation guidance information on the screen, the control unit 17 can i) generate a third judgment result information tailored to the user's response to the confirmation guidance information, and transmit it to the animal hospital's terminal. Depending on the situation, the content of the third judgment result information transmitted to the animal hospital's terminal according to the user's response can be one of the following three: i) If the user responds to the confirmation guidance information with "possible", the control unit 17 generates a third judgment result information containing a first piece of information such as "It appears the user is able to come to the hospital within the desired time slot" and transmits it to the animal hospital's terminal; ii) If the user responds to the confirmation guidance information with "impossible (time adjustment required)", the control unit 17 generates a third judgment result information containing a second piece of information such as "It appears the user is unable to come to the hospital within the desired time slot and time adjustment is required" and transmits it to the animal hospital's terminal; iii) If the user does not respond to the confirmation guidance information (i.e., does not respond), the control unit 17 can generate a third judgment result information containing a third piece of information such as "There is no response from the user, and it appears highly likely that the reservation will not be fulfilled" and transmit it to the animal hospital's terminal. After transmitting the third decision result information to the animal hospital terminal, the control unit 17 can terminate (complete) the execution of the aforementioned decision procedure.

[0185] The device 10 can provide users with a veterinary hospital reservation service. Through the aforementioned decision-making process, it can determine the likelihood of a user failing to fulfill their reservation and provide the determined information to the staff of the veterinary hospital. This makes it easier for users to make appointments at veterinary hospitals and provides convenience to both hospital staff and users in executing and managing appointments.

[0186] The following is a brief explanation of the operation of the present invention based on the information described above.

[0187] Figure 10 is a flowchart showing a method for providing a customized service for pets using an intestinal microbiome analysis platform according to one embodiment of the present invention.

[0188] The method for providing customized services for pets using the gut microbiota analysis platform shown in Figure 10 can be performed by the aforementioned device 10. Therefore, even if the following information is omitted, the explanation of the device 10 can be similarly applied to the explanation of the method for providing customized services for pets using the gut microbiota analysis platform.

[0189] Referring to Figure 10, in step S11, the analysis unit can derive information about the intestinal state of the pet by analyzing the intestinal microbiome.

[0190] At this time, the analysis unit can collect a stool sample from the pet using a commercially available portable diagnostic device, perform an intestinal microbiome analysis on the collected stool sample, and derive analysis results information about the microorganisms in the pet's intestines, including beneficial and harmful bacteria, as intestinal state information.

[0191] Next, in step S12, the service provision unit can provide a customized service tailored to the pet based on the intestinal condition information.

[0192] Furthermore, the service provider can provide as a customized service information custom recipe information tailored to the intestinal condition information or information on made-to-order pet food products manufactured based on the custom recipe information.

[0193] In the description above, steps S11 and S12 may be further divided into further steps or combined into fewer steps according to embodiments of the present invention. Some steps may be omitted as needed, and the order of the steps may be changed.

[0194] A method for providing a customized service for pets using an intestinal microbiome analysis platform according to one embodiment of the present invention is implemented in the form of program instructions that can be performed by various computer means and can be recorded on a computer-readable recording medium. The computer-readable medium may include program instructions, data files, data structures, etc., individually or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or they may be publicly known and usable by those skilled in the computer software art. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include not only machine code such as that produced by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

[0195] Furthermore, the aforementioned method of providing customized services for pets based on the gut microbiome analysis platform can also be implemented in the form of a computer program or application executed by a computer stored on a recording medium.

[0196] The above description of the present invention is illustrative, and a person with ordinary skill in the art will understand that it can be easily modified into other specific forms without altering the technical idea or essence of the invention. Therefore, the embodiments described above should be understood to be illustrative and not limiting in all respects. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined manner.

[0197] The scope of the present invention is defined not by the detailed description above, but by the claims set forth below, and all modifications or altered forms derived from the meaning and scope of the claims, as well as the concept of equivalents thereof, should be interpreted as falling within the scope of the present invention.

Claims

1. An analysis unit that derives information on the intestinal state of a pet by analyzing its intestinal microbiota, A pet-specific customized service provider device for an intestinal microbiome analysis platform, comprising a service provider unit that provides a customized service tailored to the pet based on the intestinal condition information.

2. The analysis unit collects feces from the pet using commercially available diagnostic equipment, performs an intestinal microbiome analysis on the collected feces, and derives analysis result information on microorganisms, including beneficial and harmful bacteria, in the pet's intestines as intestinal state information, as a customized service provision device for pets of the intestinal microbiome analysis platform according to claim 1.

3. It further includes a construction section that constructs a microbiome distribution map of the microbial community base by analyzing fecal samples from multiple pets. The analysis unit derives the intestinal state information using the constructed microbial distribution map, wherein the intestinal microbiota analysis platform according to claim 1 is a customized service provider for pets.

4. The service provision unit provides, as the customization service, custom recipe information tailored to the intestinal condition information or information on made-to-order pet food products manufactured based on the custom recipe information, the intestinal microbiome analysis platform for pets according to claim 1.

5. The system further includes an acquisition unit that acquires pet information from a user terminal, including at least one of the following: breed, age, weight, dietary habits, and activity level. The pet-oriented customized service provider for the intestinal microbiota analysis platform according to claim 1, wherein the service provider unit provides the customized service taking into further consideration the pet's information.

6. A pet-oriented customized service provider for an intestinal microbiome analysis platform according to claim 1, further comprising a subscription management unit that, when a subscription application for information on custom-made pet food products is made from a user terminal, regularly delivers the custom-made pet food products on delivery dates specified by the user.

7. A method for providing a customized service for a pet using a customized service provision device for a pet using a gut microbiota analysis platform as described in claim 1, In the analysis unit, the process involves a step of deriving information about the intestinal state of a pet by analyzing its intestinal microbiota, A method for providing a customized service for a pet using an intestinal microbiome analysis platform, comprising the step of providing a customized service for the pet based on the intestinal condition information in the service provision department.

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