Product planning system, product planning method, and product planning program

Abstract

ABSTRACT Product planning system, product planning method, and product planning program [Document Name] Summary The commodity information generation means of the commodity planning system refers to the first commodity trend information of the two kinds of commodities acquired from the first information source, generates, when the first commodity trend information of the two kinds of commodities is the same, information constituted by the commodity names of the two kinds of commodities and the first commodity trend information of these commodities as new commodity information, and refers to the second commodity trend information of the two kinds of commodities acquired from the second information source or the third information source, in a case where the second commodity trend information of the two kinds of commodities is the same, information composed of the commodity names of the two kinds of commodities and the second commodity trend information of these commodities is generated as the new commodity information. FIG. 1

Description

Product planning system, product planning method, and product planning program

[0001] The present invention relates to a technology for predicting the trend of a specific product from information related to the trend of the specific product collected from the web, and planning new products that do not exist in the world based on the trend prediction.

[0002] Conventionally, in providing support when planning products or services, a planning support device has been proposed that facilitates planning attractive products or services by efficiently utilizing the knowledge and other information of multiple organizations or individuals (for example, see Patent Document 1).

[0003] Japanese Unexamined Patent Application Publication No. 2019-12421

[0004] However, with conventional systems, it has been difficult to plan specific products.

[0005] In view of such circumstances, the present invention intends to provide a product planning system, a product planning method, and a product planning program that are capable of planning new products that do not exist in the world based on the trend prediction of existing specific products.

[0006] The product planning system according to the present invention comprises a product information collection means for collecting product trend information regarding the popularity of a specific product via the internet, and a product information generation means for generating new product information regarding a new product different from the specific product based on the collected product trend information, wherein the product trend information includes a first product trend information collected from word of mouth, evaluations and SNS (hereinafter referred to as the "first information source") regarding the specific product, and an external website provided by the manufacturer of the specific product (hereinafter referred to as the "second information source"), or an external website provided by an organization that performs technical evaluations of the specific product (hereinafter referred to as the "third information source").The first product trend information includes, and the first product trend information includes trend information using time terms as trend indicators, trend information using people terms as trend indicators, trend information using countries and regions as trend indicators, and trend information using economic terms as trend indicators, and the second product trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product, and the product information collection means can periodically collect the first product trend information, rank the collected first product trend information and extract the first product trend information that is rated higher than a predetermined evaluation, and the product information collection means can periodically collect the second product trend information and extract the second product trend information that is rated higher than a predetermined evaluation from the collected second product trend information, and the product information collection means The product planning system is characterized in that it stores the extracted first product trend information in association with the product name of the specific product in a storage means, stores the extracted second product trend information in association with the product name of the specific product in a storage means, and the product information generation means refers to the first product trend information of two types of products obtained from the first information source, and if the first product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the first product trend information of these products, and also refers to the second product trend information of two types of products obtained from the second or third information source, and if the second product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the second product trend information of these products.

[0007] Furthermore, the product planning method according to the present invention comprises a product information collection step in which a computer collects product trend information regarding the popularity of a specific product via the internet, and a product information generation step in which the computer generates new product information regarding a new product different from the specific product based on the collected product trend information, wherein the product trend information includes first product trend information collected from word of mouth, evaluations and SNS (hereinafter referred to as "first information source") regarding the specific product, and external websites provided by the manufacturer that manufactures the specific product (hereinafter referred to as "second information source"), or external websites provided by an organization that performs technical evaluations of the specific product (hereinafter referred to as "third information source").The first product trend information includes, and the first product trend information includes trend information using time terms as trend indicators, trend information using people terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, and the second product trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product, and the product information collection step periodically collects the first product trend information, ranks the collected first product trend information and extracts the first product trend information that is rated higher than a predetermined evaluation, and the product information collection step periodically collects the second product trend information and extracts the second product trend information that is rated higher than a predetermined evaluation from the collected second product trend information, and the product information collection step The product planning method is characterized in that it stores the extracted first product trend information in association with the product name of the specific product in a storage means, and stores the extracted second product trend information in association with the product name of the specific product in a storage means, and the product information generation step refers to the first product trend information of two types of products obtained from the first information source, and if the first product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the first product trend information of these products, and refers to the second product trend information of two types of products obtained from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the second product trend information of these products.

[0008] Furthermore, the product planning program according to the present invention is a product planning program that causes a computer to function as a product information collection means for collecting product trend information relating to the popularity of a specific product via the Internet, and as a product information generation means for generating new product information relating to a new product different from the specific product based on the collected product trend information, wherein the product trend information includes first product trend information collected from word of mouth, evaluations and SNS (hereinafter referred to as "first information source") relating to the specific product, and external websites provided by the manufacturer that manufactures the specific product (hereinafter referred to as "second information source"), or external websites provided by organizations that perform technical evaluations of the specific product (hereinafter referred to as "third information source").The first product trend information includes, and the first product trend information includes trend information using time terms as trend indicators, trend information using people terms as trend indicators, trend information using countries and regions as trend indicators, and trend information using economic terms as trend indicators, and the second product trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product, and the product information collection means can periodically collect the first product trend information, rank the collected first product trend information and extract the first product trend information that is rated higher than a predetermined evaluation, and the product information collection means can periodically collect the second product trend information and extract the second product trend information that is rated higher than a predetermined evaluation from the collected second product trend information, and the product information collection means The product planning program is characterized in that it stores the extracted first product trend information in association with the product name of the specific product in a storage means, stores the extracted second product trend information in association with the product name of the specific product in a storage means, and the product information generation means refers to the first product trend information of two types of products obtained from the first information source, and if the first product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the first product trend information of these products, and also refers to the second product trend information of two types of products obtained from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the second product trend information of these products.

[0009] The product planning system, product planning method, and product planning program according to the present invention can achieve the excellent effect of predicting the trend of a particular product from information on the trends of that product, and planning a new product that does not yet exist in the market based on that trend prediction.

[0010] This is a schematic diagram showing an overview of the product planning system 10 according to this embodiment. This is a system configuration diagram showing an example of the configuration of the product planning system 10 according to this embodiment. (a) This is a diagram showing an example of the first product trend information PTI1 stored in the storage device 26. (b) This is an example of generating new product information based on a combination of the same product and different trend information. (c) This is an example of generating new product information based on a combination of different products and the same trend information. (d) This is an example of generating new product information based on a combination of different products and different trend information. (a) This is a diagram showing an example of the second product trend information PTI2 stored in the storage device 26. (b) This is an example of generating new product information based on a combination of the same product and different trend information. (c) This is an example of generating new product information based on a combination of different products and the same trend information. (d) This is an example of generating new product information based on a combination of different products and different trend information. (a) This is a diagram showing an example of the first product evaluation information PTI1 and the second product trend information PTI2 stored in the storage device 26. (b) An example in which new product information is generated based on the same product and the combination of the first and second product trend information for that product. (c) An example in which new product information is generated based on different products and the combination of the first and second product trend information for that product.

[0011] The product planning system 10 according to an embodiment of the present invention will be described below with reference to the drawings.

[0012] <System Overview> First, an overview of the product planning system 10 according to this embodiment will be explained using Figure 1. Figure 1 is a schematic diagram showing an overview of the product planning system 10 according to this embodiment.

[0013] The product planning system 10 is a system comprising: a product information collection means 12a that collects product trend information (first product trend information PTI1 and second product trend information PTI2) regarding the popularity of a specific product via the internet; and a product information generation means 12b that generates new product information NPI regarding a new product different from the specific product based on the collected product trend information (first product trend information PTI1 and second product trend information PTI2).

[0014] As will be explained in more detail later, the first type of product trend information, PTI1, is product trend information collected from sources such as word-of-mouth, reviews, and social media regarding a specific product, while the second type of product trend information, PTI2, is product trend information collected from sources such as websites provided by manufacturers of a specific product or organizations that conduct technical evaluations of a specific product.

[0015] According to the product planning system 10, it is possible to predict the trend of a particular product based on information regarding the trends of existing products, and then plan a new product that does not currently exist in the market based on that trend prediction.

[0016] <Example of System Configuration> Next, an example of the configuration of the product planning system 10 according to this embodiment will be described using Figure 2. Figure 2 is a system configuration diagram showing an example of the configuration of the product planning system 10 according to this embodiment.

[0017] The product planning system 10 can be configured, for example, to include a system terminal 12 that controls the entire system, and a plurality of external terminals 14 that are connected to the system terminal 12 via a network NW so that they can communicate with each other.

[0018] The system terminal 12 is a terminal that controls the entire product planning system 10, and is composed of a conventionally known server or personal computer. In this example, the system terminal 12 is composed of one server, but it may be composed of multiple servers or personal computers. The hardware configuration of the system terminal 12 and the programs that the system terminal 12 executes will be described later.

[0019] External terminal 14 is a terminal that serves as a source of information for collecting product trend information related to the popularity of specific products, and consists of servers, personal computers, smartphones, etc., located in Japan or overseas. The type of external terminal 14 is not particularly limited, but examples include smartphones, personal computers, and tablets used by individuals, servers managed by public institutions such as the country or government, servers managed by companies that sell specific products, servers managed by companies that disseminate information about specific products, servers managed by manufacturers that produce specific products, and servers managed by organizations that conduct technical evaluations of specific products.

[0020] The network NW is a line that allows system terminal 12 and external terminal 14 to communicate with each other, and is typically composed of a WAN (Wide Area Network), also known as the Internet. The network NW may be wired or wireless, a LAN (Local Area Network), a dedicated line such as a VPN (Virtual Private Network), or a combination of these lines.

[0021] <System Terminal / Hardware Configuration Example> Next, we will describe an example of the hardware configuration of the system terminal 12.

[0022] As shown in Figure 2, the system terminal 12 is configured to include, for example, a CPU 21, and a ROM 22, RAM 23, external storage drive 25, storage device 26, input device 27, display device 28, communication unit 29, etc., which are connected to the CPU 21 via a bus.

[0023] The CPU 21 is a control means that controls the entire system terminal 12, and performs processes such as executing application programs and operating systems (OS) stored in ROM 22 and storage devices 26, and storing data and files necessary for program execution in RAM 23 and storage devices 26.

[0024] ROM 22 is a storage means for storing basic I / O programs and various data, and is composed of, for example, PROM, flash memory, etc. RAM 23 is a storage means for temporarily storing data, and is composed of, for example, SDRAM, DRAM, etc. External storage drive 25 is a control means capable of reading and writing data to recording media 24 such as magnetic tape, DVD, etc., and is composed of, for example, magnetic tape storage, DVD drive, etc.

[0025] The storage device 26 is a storage means for storing application programs, the OS, control programs, related programs, various information, etc., and is composed of, for example, a hard disk drive (HDD), a solid-state drive (SDD), etc. The input device 27 is for inputting commands (instructions), etc., to the system terminal 12, and is composed of, for example, a keyboard, a pointing device (mouse, etc.), a touch panel, etc.

[0026] The display device 28 displays commands input by the input device 27, the response output of the system terminal 12 to those commands, and various other displays, and is composed of, for example, a liquid crystal display, plasma display, organic EL, etc. The communication unit 29 is a control means that controls communication with external terminals 14 etc. via the network NW, and is composed of, for example, a communication card, etc.

[0027] <Management Terminal / Functions> Next, the functions of the system terminal 12 will be explained.

[0028] The storage device 26 of the system terminal 12 stores a program (product planning program) that causes the system terminal 12 to function as a product information collection means 12a and a product information generation means 12b.

[0029] <Management terminal / function / product information collection means> Next, the product information collection means 12a will be described.

[0030] The product information collection means 12a is a means for collecting product trend information regarding the popularity of a specific product via a network NW, and in this example, it is composed of a program or the like stored in the storage device 26 of the system terminal 12.

[0031] Here, "product trend information" refers to information about product trends. In this example, product trend information is collected as follows: first product trend information PTI1, which is gathered from word-of-mouth and reviews of a specific product; and second product trend information PT2, which is gathered from websites provided by the manufacturer of the specific product, or from websites provided by organizations that conduct technical evaluations of the specific product.

[0032] The product information collection means 12a performs a first product trend information collection process to collect first product trend information PTI1 via a network NW, and a second product technology information collection process to collect second product trend information PTI2 via a network NW.

[0033] <Management terminal / function / product information collection means / first product trend information collection process> Next, the first product trend information collection process performed by the product information collection means 12a will be described.

[0034] The first product trend information collection process is the process of collecting the first product trend information PTI1 from an external terminal 14 via a network NW, and the first product trend information PTI1 is information about the trends of a specific product collected from articles, blogs, and social networking services on the web.

[0035] The product information collection means 12a periodically crawls multiple external terminals 14 connected to the network NW, and collects text data and image data from these multiple external terminals 14. From the collected text data and image data, it obtains the product name (product name) and the first product trend information PTI 1 corresponding to this product.

[0036] The first type of product trend information, PTI1, includes temporal trend information, personal trend information, geographical trend information, and economic trend information. Temporal trend information is trend information that uses terms representing time as indicators of trends. Examples of terms representing time include the year before last, last year, this year, next year, the year after next, last month, this month, next month, spring, summer, autumn, winter, end of the year, beginning of the year, year, month, and day, and the Chinese zodiac. Personal trend information is trend information that uses terms related to people as indicators of trends. Examples of terms related to people include young people, middle-aged and older people, men, women, Generation Z, baby boomers, teenagers, and people in their twenties.

[0037] Geographical trend information is trend information that uses countries or regions as indicators of trends, and examples of countries or regions include Japan, Asia, North America, South America, and Europe. Economic trend information is trend information that uses economic terms as indicators of trends, and examples of economic terms include business trends, changes in stock prices and exchange rates, consumption indices, unemployment rates, and crude oil prices.

[0038] Examples of text and image data collected by the first product trend information collection process from the external terminal 14 include the following:

[0039] - Temporal trend information contained in word-of-mouth and reviews written in articles and blogs provided by external terminals 14, and temporal trend information contained in SNS messages and emails sent and received between external terminals 14 (for example, text data such as "△ was popular in XX year," "XX is popular this year," "XX is likely to be popular next year," "XX will be popular in the summer," "XX is popular among young people," etc.) - Personal trend information contained in word-of-mouth and reviews written in articles and blogs provided by external terminals 14, and personal trend information contained in SNS messages and emails sent and received between external terminals 14 (for example, text data such as "XX is popular among middle-aged and elderly people," "XX is likely to be popular among young people," "△ is popular among men," etc.) - Geographic trend information contained in word-of-mouth and reviews written in articles and blogs provided by external terminals 14, and geographic trend information contained in SNS messages and emails sent and received between external terminals 14 (for example, text data such as "XX is popular in Japan," "XX is likely to be popular in North America," "△ is popular in Asia," etc.) - Economic trend information contained in word-of-mouth and reviews written in articles and blogs provided by external terminals 14, and economic trend information contained in SNS messages and emails sent and received between external terminals 14 (for example, text data such as "XX is popular because the economy is bad" or "XX is likely to become popular because crude oil prices are rising"). The first product trend information PTI1 obtained from the collected text data and image data includes temporal trend information for a specific product (for example, product A was popular in XX year), personal trend information for a specific product (for example, product B is popular among men), geographical trend information for a specific product (for example, product C is popular in Asia), and economic trend information for a product (for example, product D is popular due to rising crude oil prices).

[0040] Subsequently, the product information collection unit 12a ranks the collected first product trend information PTI1. For this ranking, for example, the rank becomes higher when the number of pieces of product trend information is large (for example, when the product trend information is posted in multiple articles or on SNS), or when the reliability of the product trend information is high (for example, when the product trend information is posted on a well-known company's website).

[0041] On the other hand, the rank becomes lower when the number of pieces of product trend information is small (for example, when the product trend information is posted in a single article), or when the reliability of the product trend information is low (for example, when the product trend information is posted on an individual's blog).

[0042] Subsequently, the product information collection unit 12a classifies the acquired product names by category, extracts the first product trend information PTI1 whose rank is higher than a predetermined rank (that is, which has a relatively large number of pieces or relatively high reliability) from among the collected first product trend information PTI1, then classifies the extracted first product trend information PTI1 into one or more groups, and stores it in the storage device 26 in association with the product names.

[0043] It should be noted that a configuration may be adopted in which all the first product trend information PTI1 is extracted and stored without performing the ranking of the collected first product trend information PTI1, or a configuration in which only the first product trend information PTI1 whose rank is lower than the predetermined rank (that is, which has a relatively small number of pieces or relatively low reliability) is extracted and stored, or a configuration in which the first product trend information PTI1 is randomly extracted and stored.

[0044] Here, examples of product categories include beauty and health, bags, toys and games, vehicles and parts, food and beverages, home appliances, fashion and accessories, furniture, cameras and optical equipment, sporting goods, art and entertainment, pet supplies, baby products, software, and office supplies. It goes without saying that the product categories are not limited to this example.

[0045] FIG. 3(a) is a diagram showing an example of the first product trend information PTI1 stored in the storage device 26.

[0046] In the first product trend information collection process, the product names "Lipstick A", "Lipstick B", "Lip Balm C", and "Moisturizing Liquid D" acquired from the external terminal 14 are classified into the category "Beauty and Health", and a plurality of types of first product trend information PTI1 extracted in relation thereto are classified into 4 types of product trend information 1 to 4, which are associated with the product names "Lipstick A", "Lipstick B", "Lip Balm C", and "Moisturizing Liquid D" and stored in the storage device 26.

[0047] In this example, the storage device 26 stores product trend information 1 (trending in 2022) and product trend information 3 (selling well in summer) in association with the product "Lipstick A", stores product trend information 2 (trending in Asia) and product trend information 4 (popular among middle-aged and elderly people) in association with the product "Lipstick B", stores product trend information 1 (trending in 2024) and product trend information 2 (trending in Asia) in association with the product "Lip Balm C", and stores product trend information 3 (selling well in winter) and product trend information 4 (popular among men) in association with the product "Moisturizing Liquid D".

[0048] <Management Terminal / Function / Product Information Collection Unit / Second Product Trend Information Collection Process> Next, the second product trend information collection process executed by the product information collection unit 12a will be described.

[0049] The second product trend information collection process is a process of collecting the second product trend information PTI2 from the external terminals 14 via the network NW, and the second product trend information PTI2 refers to information related to the trend of a specific product on the web provided by manufacturers that manufacture specific products, organizations that conduct technical evaluations, and the like.

[0050] The product information collection unit 12a periodically patrols (crawls) a plurality of external terminals 14 connected to the network NW, collects text data and image data from the plurality of external terminals 14, and acquires the product name and the second product trend information PTI2 corresponding to this product from the collected text data and image data.

[0051] The second type of product trend information, PTI2, includes information on product novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design.

[0052] The text and image data collected by the second product trend information collection process from the external terminal 14 include, for example, the novelty of the product (e.g., world's best XX, Japan's best XX, cutting-edge XX, patented XX, etc.), quality (e.g., high-quality XX, XX that needs quality improvement, etc.), safety (e.g., highly / lowly safe XX, etc.), durability (e.g., highly durable XX, XX with durability issues, etc.), practicality (e.g., highly / lowly practical XX, etc.), workability (e.g., good / poor workability XX, etc.), reliability (e.g., highly reliable / lowly reliable XX, etc.), convenience (e.g., highly / lowly convenient XX, etc.), productivity (e.g., highly / lowly productive XX, etc.), ease of manufacturing (e.g., easy to mass-produce XX, difficult to manufacture XX, etc.), and design (e.g., highly / lowly designed XX, etc.).

[0053] Next, the product information collection means 12a evaluates the collected second product trend information PTI2. This evaluation uses evaluation values ​​that are high when the technical capabilities are high (for example, novelty, high quality, high safety, high durability, high practicality, good workability, high reliability, high convenience, high productivity, high design, etc.) and low when the technical capabilities are low (for example, lack of novelty, low quality, low safety, low durability, low practicality, poor workability, low reliability, low convenience, low productivity, low design, etc.).

[0054] Next, the product information collection means 12a classifies the acquired product names by category, and extracts from the collected second product trend information PTI2 products that have a higher evaluation than a predetermined evaluation (i.e., products with relatively high technical capabilities). Then, it classifies the extracted second product trend information PTI2 products and stores them in the storage device 26 in association with product names.

[0055] Furthermore, the system may be configured to extract and store all of the collected second product trend information PTI2 without performing an evaluation of the second product trend information PTI2, or to extract and store only the second product trend information PTI2 that has a lower evaluation than a predetermined evaluation (i.e., relatively low technical capability), or to randomly extract and store the second product trend information PTI2.

[0056] Figure 4(a) shows an example of the second product trend information PTI2 stored in the memory device 26.

[0057] The second product trend information collection process classifies the product names "Passenger Car L," "Truck M," "Truck N," and "Airplane O" obtained from the external terminal 14 into the category "Vehicles and Parts," and also classifies the extracted second product trend information PTI2 into four types of product trend information 1 to 4, associating them with the product names "Passenger Car L," "Truck M," "Truck N," and "Airplane O," and stores them in the storage device 26.

[0058] In this example, the memory device 26 stores product trend information 1 (improved fuel efficiency) and product trend information 4 (improved sound insulation) associated with the product name "Passenger Car L", product trend information 1 (improved fuel efficiency) and product trend information 2 (improved strength) associated with the product name "Truck M", product trend information 3 (improved safety) and product trend information 4 (new noise reduction technology) associated with the product name "Truck N", and product trend information 1 (improved fuel efficiency) and product trend information 2 (patented durability) associated with the product name "Airplane O".

[0059] Note that while the product trend information 2 associated with the product name "Truck M" is "Improved strength," the product trend information 2 associated with the product name "Airplane O" is "Durability patent obtained." Although the expression as the second product trend information PTI2 differs, both indicate "high strength and durability," and in this example, they are classified as the same product trend information 2 because they are similar.

[0060] Furthermore, while product trend information 4 associated with the product name "Passenger Car L" is "Improved sound insulation," product trend information 4 associated with the product name "Truck N" is "New noise reduction technology." Although the expression as the second product trend information PTI2 differs, both indicate "high sound insulation," and in this example, they are classified as the same product trend information 4 because they are similar.

[0061] <Management Terminal / Function / Product Information Generation Means> Next, the product information generation means 12b will be described.

[0062] The product information generation means 12b is a means for generating new product information (NPI) for new products different from specific products, based on a combination of first product trend information collected from an external terminal 14 via a network NW. In this example, it is composed of a program (generation AI module) etc. stored in the storage device 26 of the system terminal 12.

[0063] <Management terminal / function / product information generation means / combination of first product trend information> The product information generation means 12b refers to the first product trend information PTI1 collected by the product information collection means 12a from the external terminal 14, and generates new product information NPI related to new products based on these combinations.

[0064] Here, three types of combinations of the first product trend information PTI1 are possible: (1) a combination of the same product and different trend information, (2) a combination of different products and the same trend information, and (3) a combination of different products and different trend information.

[0065] Furthermore, "identical goods" refers to goods that belong to the same or similar category, while "different goods" refers to goods that do not belong to the same or similar category. Also, "identical trend information" refers to trend information that belongs to the same or similar category, while "different evaluations" refers to trend information that does not belong to the same or similar category.

[0066] For example, consider the case where the product information collection means 12a collects the first product trend information PTI1 from the external terminal 14 and generates the first product trend information PTI1 shown in Figure 3(a).

[0067] When the product information generation means 12b refers to the first product trend information PTI1 shown in Figure 3(a) and generates new product information NPI based on "combinations of identical products and different trend information", for example, as shown in Figure 3(b), new product information NPI for a new product E that is different from "lipstick A" and "lipstick B" is generated (lipstick A + lipstick B + trend in 2022 + trend in Asia) based on the first product evaluation information PTI1 which consists of identical products "lipstick A" and "lipstick B" and different trend information such as "trendy in 2022" and "trendy in Asia".

[0068] Furthermore, when the product information generation means 12b refers to the first product trend information PTI1 shown in Figure 3(a) and generates new product information NPI based on "combinations of different products and the same trend information", for example, as shown in Figure 3(c), new product information NPI for a new product F that is different from "lipstick A" and "lip balm C" (lipstick A + lip balm C + trending in Asia) is generated based on the first product trend information PTI1 which is "popular in Asia" and is the same trend information, and the different products "lipstick A" and "lip balm C".

[0069] Furthermore, when the product information generation means 12b refers to the first product evaluation information PTI1 shown in Figure 3(a) and generates new product information NPI based on the "combination of different products and different trend information", for example, as shown in Figure 3(d), new product information NPI for a new product G that is different from "lip balm C" and "moisturizing lotion D" is generated based on the first product trend information PTI1, which consists of different products "lip balm C" and "moisturizing lotion D" and different trend information such as "popular with young people" and "sells well in winter".

[0070] In this example, it becomes possible to create new products using the new product information NPI generated based on the combination of the first product trend information PTI1 as a hint. It is also possible to predict the trend of a particular product from information on the trends of existing products and plan a new product that does not yet exist in the market based on that trend prediction.

[0071] <Combination of management terminal / function / product information generation means / second product trend information> The product information generation means 12b refers to the second product trend information PTI2 collected by the product information collection means 12a from the external terminal 14, and generates new product information NPI about new products based on these combinations.

[0072] Here, three types of combinations of the second product trend information PTI2 are possible: (1) a combination of the same product and different trend information, (2) a combination of different products and the same trend information, and (3) a combination of different products and different trend information.

[0073] Furthermore, "identical goods" refers to goods that belong to the same or similar category, while "different goods" refers to goods that do not belong to the same or similar category. Also, "identical trend information" refers to trend information that belongs to the same or similar category, while "different evaluations" refers to trend information that does not belong to the same or similar category.

[0074] For example, consider the case where the product information collection means 12a collects a second product trend information PTI2 from an external terminal 14 and generates the second product trend information PTI2 shown in Figure 4(a).

[0075] When the product information generation means 12b refers to the second product trend information PTI2 shown in Figure 4(a) and generates new product information NPI based on "combinations of identical products and different trend information", for example, as shown in Figure 4(b), new product information NPI for a new product P (Truck M + Truck N + Improved Fuel Efficiency + Improved Safety) is generated based on the identical products "Truck M" and "Truck N" and the second product trend information PTI2 which consists of different trend information such as "Improved Fuel Efficiency" and "Improved Safety".

[0076] Furthermore, when the product information generation means 12b refers to the second product technology information PTI2 shown in Figure 4(a) and generates new product information NPI based on "combinations of different products and the same trend information", for example, as shown in Figure 4(c), new product information NPI for a new product Q (passenger car L + airplane O + improved fuel efficiency) is generated based on the second product trend information PTI2, which consists of different products, "passenger car L" and "airplane O", and the same trend information, "improved fuel efficiency".

[0077] Furthermore, when the product information generation means 12b refers to the second product trend information PTI2 shown in Figure 4(a) and generates new product information NPI based on "combinations of different products and different trend information", for example, as shown in Figure 4(d), new product information NPI for a new product R that is different from "Truck M" and "Airplane O" is generated based on the second product trend information PTI2 consisting of different products "Truck M" and "Airplane O" and different trend information "New noise reduction technology" and "Durability patent acquisition".

[0078] In this example, it becomes possible to create new products using the new product information NPI generated based on the combination of the second product trend information PTI2 as a hint. It is also possible to predict the trend of a particular product from information on the trends of existing products and plan a new product that does not yet exist in the market based on that trend prediction.

[0079] In the above embodiment, examples were shown in which new product information NPI is generated based on a combination of first product trend information PTI1 and an example in which new product information NPI is generated based on a combination of second product trend information PTI2. However, the present invention is not limited thereto, and new product information NPI may also be generated based on a combination of first product trend information PTI1 and second product trend information PTI2.

[0080] For example, consider a case where the product information collection means 12a collects a first product trend information PTI1 and a second product trend information PTI2 from an external terminal 14, and generates the first product trend information PTI1 and the second product trend information PTI2 shown in Figure 5(a).

[0081] When the product information generation means 12b refers to the first product trend information PTI1 and the second product trend information PTI2 shown in Figure 5(a) and generates new product information NPI based on "the same product and the combination of the first product trend information and the second product trend information for that product", for example, as shown in Figure 5(b), new product information NPI for a new product H that is different from "Lipstick A" and "Lipstick B" is generated (Lipstick A + Lipstick A + Sells in Summer + Patented Technology) based on the first product trend information PTI1 of "Lipstick A" being "Sells well in summer" and the second product technology information PTI2 of "Lipstick B" being "Patented Technology".

[0082] Furthermore, when the product information generation means 12b refers to the first product trend information PTI1 and the second product trend information PTI2 shown in Figure 5(a) and generates new product information NPI based on "a combination of different products and the first and second product trend information of those products", for example, as shown in Figure 5(c), new product information NPI for a new product I that is different from "moisturizer D" and "lip balm C" is generated based on the second product trend information PTI2 of "moisturizer D" which is "improves moisturizing power" and the first product trend information PTI1 of "lip balm C" which is "popular in Asia".

[0083] In this example, it becomes possible to create new products using new product information NPI, which is generated based on a combination of the first product trend information PTI1 and the second product trend information PTI2, as a hint. It also becomes possible to predict the trend of a particular product from information on the trends of existing products, and to plan new products that do not yet exist in the market based on that trend prediction.

[0084] <Product Planning System / Summary> As described above, the product planning system according to this embodiment (for example, the product planning system 10 shown in Figures 1 and 2) is characterized by comprising: product information collection means (for example, product information collection means 12a shown in Figures 1 and 2) that collects product trend information (for example, first product trend information PTI1 and second product trend information PTI2 shown in Figures 1 to 5) regarding the popularity of a specific product via the internet; and product information generation means (for example, product information generation means 12b shown in Figures 1 and 2) that generates new product information (for example, new product information NPI shown in Figures 1 to 5) regarding a new product different from the specific product based on the collected product trend information, wherein the product trend information includes first product trend information collected from word of mouth, evaluations and SNS regarding the specific product, and second product trend information collected from a website provided by the manufacturer that produces the specific product, or a website provided by an organization that performs technical evaluations of the specific product.

[0085] According to the product planning system of this embodiment, it becomes possible to create new products, predict the trends of existing specific products from information on their trends, and plan new products that do not yet exist in the market based on these trend predictions.

[0086] Furthermore, the specific product includes a first product (for example, lip balm C shown in Figure 3(d)) and a second product (for example, moisturizing lotion D shown in Figure 3(d)) that does not belong to the same or similar range as the first product, and the product information generation means may generate the new product information based on a combination of the first product trend information (for example, "popular with young people" shown in Figure 3(d)) or the second product trend information for the first product, and the first product trend information or the second product trend information (for example, "sells well in winter" shown in Figure 3(d)) for the second product.

[0087] With this configuration, new product information can be generated based on combinations of different products, allowing for the planning of unexpected and innovative products.

[0088] Furthermore, the product information generation means may generate the new product information based on a combination of the first product evaluation information (for example, the first product trend information 1 to 4 shown in Figure 3(a)), a combination of the second product technology information (for example, the second product trend information 1 to 4 shown in Figure 4(a)), and a combination of the first product evaluation information and the second product technology information (for example, the first product trend information 1 to 2 and the second product trend information 1 to 2 shown in Figure 5(a)).

[0089] This configuration allows for an increase in the variety of new product information generated, enabling the planning of multiple types of entirely new products that don't yet exist in the market.

[0090] Furthermore, the product planning method according to this embodiment (for example, the method executed by the product planning system 10 shown in Figures 1 and 2) may be a product planning method characterized by comprising: a product information collection step (for example, a process executed by the product information collection means 12a shown in Figures 1 and 2) that collects product trend information regarding the popularity of a specific product (for example, a first product trend information PTI1 and a second product trend information PTI2 shown in Figures 1 to 5) via the Internet; and a product information generation step (for example, a process executed by the product information generation means 12b shown in Figures 1 and 2) that generates new product information regarding a new product different from the specific product (for example, a new product information NPI shown in Figures 1 to 5) based on the collected product trend information, wherein the product trend information includes first product trend information collected from word-of-mouth, evaluations and SNS regarding the specific product, and second product trend information collected from a website provided by the manufacturer that produces the specific product, or a website provided by an organization that performs technical evaluations of the specific product.

[0091] According to the product planning method of this embodiment, it becomes possible to create new products, predict the trends of existing specific products from information on their trends, and plan new products that do not currently exist in the market based on these trend predictions.

[0092] Furthermore, the product planning program according to this embodiment (for example, the program executed by the product planning system 10 shown in Figures 1 and 2) is a product planning program that causes a computer (for example, the system terminal 12 shown in Figures 1 and 2) to function as a product information collection means (for example, the product information collection means 12a shown in Figures 1 and 2) that collects product trend information (for example, the first product trend information PTI1 and the second product trend information PTI2 shown in Figures 1 to 5) regarding the popularity of a specific product via the Internet, and a product information generation means (for example, the product information generation means 12b shown in Figures 1 and 2) that generates new product information (for example, the new product information NPI shown in Figures 1 to 5) regarding a new product different from the specific product based on the collected product trend information, wherein the product trend information includes first product trend information collected from word of mouth, evaluations and SNS regarding the specific product, and second product trend information collected from a website provided by the manufacturer that produces the specific product, or a website provided by an organization that performs technical evaluations of the specific product.

[0093] According to the product planning program of this embodiment, it becomes possible to create new products, predict the trends of existing specific products from information on their trends, and plan new products that do not yet exist in the market based on these trend predictions.

[0094] Furthermore, the product planning generation AI (for example, the product information generation means 12b shown in Figures 1 and 2) provided in the product planning system according to this embodiment is a product planning generation AI that causes a computer to function to generate new product information (for example, new product information NPI shown in Figures 1 to 5) about a new product different from the specific product, based on product trend information about the popularity of a specific product (for example, the first product trend information PTI1 and the second product trend information PTI2 shown in Figures 1 to 5) collected via the Internet, and is characterized in that the product trend information includes first product trend information collected from word of mouth, evaluations and SNS regarding the specific product, and second product trend information collected from a website provided by the manufacturer that produces the specific product, or a website provided by an organization that performs technical evaluations of the specific product.

[0095] According to the generative AI provided in the product planning system of this embodiment, it becomes possible to create new products, predict the trends of a particular product from information on the trends of existing products, and plan new products that do not yet exist in the world based on the trend prediction.

[0096] It should be noted that the product planning system, product planning method, product planning program, and product planning generation AI according to the present invention are not limited to the embodiments described above, and various modifications can be made without departing from the spirit of the present invention.

[0097] Therefore, for example, in the above embodiment, the product information generation means 12b is shown as a program (generation AI module) provided by the product planning system 10. However, the program may be implemented on a separate server (generation AI server), and this generation AI server and the system terminal 12 may be connected via a network NW to enable mutual communication, thereby configuring the product planning system 10.

[0098] The product planning system, product planning method, and product planning program according to the present invention can be widely applied to product planning, proposal, and development in manufacturing, service, retail, and other industries.

[0099] 10 Product planning system 12 System terminal 12a Product information collection means 12b Product information generation means 14 External terminal 21 CPU 22 ROM 23 RAM 24 Recording medium 25 External storage drive 26 Storage device 27 Input device 28 Display device 29 Communication unit NPI New product information PTI1 First product trend information PTI2 Second product trend information

Claims

1. The system comprises: a product information collection means for collecting product trend information regarding the popularity of a specific product via the internet; and a product information generation means for generating new product information regarding a new product different from the specific product based on the collected product trend information, wherein the product trend information includes: first product trend information collected from word-of-mouth, evaluations, and social networking services (hereinafter referred to as "first information sources") regarding the specific product; and external websites provided by the manufacturer of the specific product (hereinafter referred to as "second information sources"), or external websites provided by organizations that perform technical evaluations of the specific product (hereinafter referred to as "third information sources").The first product trend information includes, the first product trend information includes trend information using time terms as trend indicators, trend information using people terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, the second product trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product, the product information collection means can periodically collect the first product trend information, rank the collected first product trend information and extract the first product trend information that is rated higher than a predetermined evaluation, the product information collection means can periodically collect the second product trend information and extract the second product trend information that is rated higher than a predetermined evaluation from the collected second product trend information, A product planning system characterized by the following: The product information collection means stores in storage means an association between the product name of a specific product and the extracted first product trend information; and stores in storage means an association between the product name of a specific product and the extracted second product trend information; The product information generation means refers to the first product trend information of two types of products obtained from the first information source, and if the first product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the first product trend information of these products; and refers to the second product trend information of two types of products obtained from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the second product trend information of these products.

2. A product planning system according to claim 1, wherein the product information generation means refers to a first product corresponding to the first product trend information obtained from the first information source and a second product corresponding to the second product trend information obtained from the second information source or the third information source, and generates information as new product information consisting of the product names of the first product and the second product, the first product trend information of the first product and the second product, and the second product trend information of the second product, respectively.

3. A product planning system according to claim 1 or 2, wherein the product information collection means either ranks the collected first product trend information and extracts only the first product trend information that is lower in evaluation than a predetermined evaluation, or randomly extracts the first product trend information from the collected first product trend information, and the product information collection means either extracts only the second product trend information that is lower in evaluation than a predetermined evaluation from the collected second product trend information, or randomly extracts the second product trend information from the collected second product trend information.

4. The system comprises a product information collection step in which a computer collects product trend information regarding the popularity of a specific product via the internet, and a product information generation step in which the computer generates new product information regarding a new product different from the specific product based on the collected product trend information, wherein the product trend information includes first product trend information collected from word of mouth, evaluations and SNS (hereinafter referred to as "first information source") regarding the specific product, and external websites provided by the manufacturer of the specific product (hereinafter referred to as "second information source"), or external websites provided by organizations that perform technical evaluations of the specific product (hereinafter referred to as "third information source").The first product trend information includes, The first product trend information includes trend information using time terms as trend indicators, trend information using people terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, The second product trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product, The product information collection step periodically collects the first product trend information, ranks the collected first product trend information and extracts the first product trend information that is rated higher than a predetermined evaluation, The product information collection step periodically collects the second product trend information and extracts the second product trend information that is rated higher than a predetermined evaluation from the collected second product trend information, A product planning method characterized by the following steps: the product information collection step involves associating the product name of a specific product with the extracted first product trend information and storing it in a storage means, and associating the product name of a specific product with the extracted second product trend information and storing it in a storage means; the product information generation step involves referring to the first product trend information of two types of products obtained from the first information source, and if the first product trend information of the two types of products is the same, generating new product information consisting of the product names of the two types of products and the first product trend information of these products; and referring to the second product trend information of two types of products obtained from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generating new product information consisting of the product names of the two types of products and the second product trend information of these products.

5. A product planning method according to claim 4, characterized in that the product information generation step refers to a first product corresponding to the first product trend information obtained from the first information source and a second product corresponding to the second product trend information obtained from the second or third information source, and if the first product and the second product are of the same type, generates information as new product information consisting of the respective product names of the first product and the second product, the first product trend information of the first product, and the second product trend information of the second product.

6. A product planning method according to claim 4 or 5, wherein the product information collection step is to rank the collected first product trend information and extract only the first product trend information that is lower in evaluation than a predetermined evaluation, or to randomly extract the first product trend information from the collected first product trend information, and the product information collection step is to extract only the second product trend information that is lower in evaluation than a predetermined evaluation from the collected second product trend information, or to randomly extract the second product trend information from the collected second product trend information.

7. A product planning program that causes a computer to function as a product information collection means for collecting product trend information about the popularity of a specific product via the Internet, and as a product information generation means for generating new product information about a new product different from the specific product based on the collected product trend information, wherein the product trend information includes first product trend information collected from word of mouth, evaluations and SNS (hereinafter referred to as "first information source") regarding the specific product, and external websites provided by the manufacturer of the specific product (hereinafter referred to as "second information source"), or external websites provided by organizations that perform technical evaluations of the specific product (hereinafter referred to as "third information source").The first product trend information includes, the first product trend information includes trend information using time terms as trend indicators, trend information using people terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, the second product trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product, the product information collection means can periodically collect the first product trend information, rank the collected first product trend information and extract the first product trend information that is rated higher than a predetermined evaluation, the product information collection means can periodically collect the second product trend information and extract the second product trend information that is rated higher than a predetermined evaluation from the collected second product trend information, A product planning program characterized in that the product information collection means stores in storage means an association between the product name of a specific product and the extracted first product trend information, and stores in storage means an association between the product name of a specific product and the extracted second product trend information, and the product information generation means refers to the first product trend information of two types of products obtained from the first information source, and if the first product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the first product trend information of these products, and refers to the second product trend information of two types of products obtained from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generates new product information consisting of the product names of the two types of products and the second product trend information of these products.

8. A product planning program according to claim 7, wherein the product information generation means refers to a first product corresponding to the first product trend information obtained from the first information source and a second product corresponding to the second product trend information obtained from the second information source or the third information source, and generates information as new product information consisting of the product names of the first product and the second product, the first product trend information of the first product and the second product, and the second product trend information of the second product, respectively.

9. A product planning program according to claim 7 or 8, wherein the product information collection means ranks the collected first product trend information and extracts only the first product trend information that is lower in evaluation than a predetermined evaluation, or randomly extracts the first product trend information from the collected first product trend information, and the product information collection means extracts only the second product trend information that is lower in evaluation than a predetermined evaluation from the collected second product trend information, or randomly extracts the second product trend information from the collected second product trend information.