Store-in-store and dual-internet operation mode in catering industry
By embedding store-in-store and dual Internet operation models in existing physical stores in the catering industry, combined with industrial AI management systems, the problems of idleness and high operating costs of physical stores are solved, and a low-cost and high-efficiency franchisee attraction and profit model is achieved.
Patent Information
- Application Number
- CN202411665240.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-02-25
AI Technical Summary
The existing physical stores in the catering industry are idle outside business hours, unable to bring profits, and the business style is single, which has high cost, making it difficult to attract multiple franchise stores.
Adopt the restaurant-in-store and dual Internet operation models of the catering industry, through online service platforms and multiple offline service platforms embedded in existing business stores, combined with industrial AI management systems, food quality testing and unified procurement and distribution are realized.
While the original store continues to operate normally, it has increased brand projects, reduced franchise costs, shortened profit time, and provided precise food quality assurance and excellent customer service through the combination of dual Internet to attract more franchise stores.
Smart Images
Figure CN119515610A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of business model technology, and in particular to a shop-in-shop and dual-internet operation model for the catering industry. Background Technology
[0002] In the current social development, opening a new physical store requires a significant investment of human and material resources. Furthermore, the store's business model is relatively simple, and the store is idle outside of business hours, failing to generate profits for the merchant. Summary of the Invention
[0003] The purpose of this invention is to address the shortcomings of existing technologies by proposing a shop-in-shop and dual-internet operation model for the catering industry.
[0004] To achieve the above objectives, the present invention adopts the following technical solution: A shop-in-shop and dual-internet operation model for the catering industry, comprising an online service platform, multiple offline service platforms, a brand company, and an industrialized AI management system; including the following steps: Step S1: Users log in to the online service platform using their personal accounts to access the brand company and select and purchase items. Step S2: After the user selects the item to purchase, the brand company matches the nearest offline service platform to the user's delivery address. Step S3: The offline service platform conducts quality and safety testing on the goods and transmits the test results to the industrial AI management system. Step S4: Items that pass the offline service platform's inspection are delivered to the user or the user picks them up at the offline service platform.
[0005] Preferably, the multiple offline service platforms are embedded in existing business stores, becoming shop-in-shops within existing business stores.
[0006] Preferably, the industrial AI management system includes a digital supervision center, a food safety supervision module, an alternating mutual assistance service module, and a reward and punishment system process module; the food safety supervision module includes a portable food bioamine AI tester, which is equipped on each offline service platform, and each portable food bioamine AI tester is coded.
[0007] Preferably, the portable food bioamine AI tester is connected to the digital supervision center, and each portable food bioamine AI tester is equipped with an intelligent algorithm. The portable food bioamine AI tester tests the food and transmits the test results to the digital supervision center for analysis.
[0008] Preferably, if the handheld food bioamine AI tester yields a qualified result, the qualified test result is uploaded to the industrial AI management system and the food is sold to the user; if the handheld food bioamine AI tester yields a failed result, the failed test result is uploaded to the industrial AI management system and the food is sealed and stored for later recycling.
[0009] Preferably, the portable food bioamine AI tester tests the bioamine index of food by transferring electrons between the enzyme and the electrode through an enzyme biosensor, and the AI algorithm determines whether the value is qualified or exceeds the standard.
[0010] Preferably, the alternating mutual assistance service module includes order diversion and store closure diversion; each offline service platform is set with a limit on the number of orders. When the number of orders on an offline service platform exceeds the limit, the data is transmitted to the industrial AI management system, which then allocates the excess orders to another nearby offline service platform.
[0011] Preferably, the store closure diversion includes the offline service platform proactively reporting to the industrial AI management system in advance, the industrial AI management system sending the store closure information to the brand company, the brand company adjusting the online service platform corresponding to the offline service platform to a closed state, and the brand company stopping order assignment to the offline service platform through the industrial AI management system.
[0012] Preferably, the reward and punishment system process includes prioritizing order assignments to offline service platforms, providing cash rewards or reducing order assignments, or shutting down offline service platforms based on user order volume and positive reviews.
[0013] Preferably, the offline service platform uploads the required food items to the industrial AI management system in advance, and the industrial AI management system conducts unified procurement and distribution; food items that fail the test are uniformly recycled and processed.
[0014] Compared with the prior art, the beneficial effects of the present invention are: This invention designs a shop-in-shop and dual-internet operation model for the catering industry. Existing shops continue their original business while adding a new brand project, operating as a single store with two brands. This low-cost, fast-profit model allows brand owners to quickly expand into the market and attract more franchisees. Offline operations rely on existing customers in the region, while online ordering is handled through online service platforms. The shop-in-shop model aims to simplify franchising, save costs, and reduce service fees. The combination of these two internet platforms ensures precise food quality and excellent customer service, better realizing business opportunities for countless franchisees; enhancing business opportunities and providing high-quality service; and offering streamlined procedures, an easily acceptable alliance cooperation method, and benefits for customers. Attached Figure Description
[0015] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic diagram of the operation mode method steps proposed in this invention; Figure 2 This is a system structure diagram of the operation mode proposed in this invention; Figure 3 This is a flowchart of the detection process for the portable food biogenic amine AI tester proposed in this invention. Detailed Implementation
[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0017] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, features defined with "first," "second," and "third" may explicitly or implicitly include one or more of those features. In the description of this invention, unless otherwise stated, "a plurality of" means two or more; furthermore, it should be noted that unless otherwise explicitly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly, for example, as a fixed connection, a detachable connection, or an integral connection; as a mechanical connection or an electrical connection; as a direct connection or an indirect connection through an intermediate medium; or as a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0018] Reference Figures 1 to 3As shown in the figure, a store-in-store and dual-internet operation model for the catering industry includes an online service platform, multiple offline service platforms, a brand company, and an industrialized AI management system; it includes the following steps: Step S1, the user logs in to the online service platform using a personal account and enters the brand company to select and purchase items; Step S2, after the user selects and purchases items, the brand company matches the offline service platform closest to the user's delivery address based on the user's delivery address; Step S3, the offline service platform detects the quality and safety of the items and transmits the detection results to the industrialized AI management system; Step S4, the items that pass the detection results of the offline service platform are delivered to the user or the user picks them up at the offline service platform.
[0019] Among them, multiple offline service platforms are embedded in existing business stores, becoming store-in-stores within the existing business stores; the offline service platforms upload the required foods to the industrialized AI management system in advance, and the industrialized AI management system conducts unified procurement and unified distribution; the foods with unqualified test results are uniformly recycled; the original store continues to do its original business, adding one more brand project, operating in a dual-brand mode for one store, with low franchise costs and a quick profit-making time; brand merchants can quickly open up the market and are easy to attract more franchise stores.
[0020] The industrialized AI management system includes a digital supervision center, a food safety supervision module, an alternate mutual assistance service module, and a reward and punishment system process module; the food safety supervision module includes a portable food biogenic amine AI tester, and the portable food biogenic amine AI tester is equipped in each offline service platform, and each portable food biogenic amine AI tester has a code; the portable food biogenic amine AI tester is connected to the digital supervision center, and an intelligent algorithm is set in each portable food biogenic amine AI tester. The portable food biogenic amine AI tester tests the food and transmits the test results to the digital supervision center for analysis; if the test result of the portable food biogenic amine AI tester is qualified, the qualified test result is uploaded to the industrialized AI management system and the food is sold to the user. If the test result of the portable food biogenic amine AI tester is unqualified, the unqualified test result is uploaded to the industrialized AI management system and the food is sealed and waiting for recycling; the portable food biogenic amine AI tester tests the biogenic amine index of the food, and the enzyme and the electrode conduct electron transfer through the enzyme biosensor, and the qualified and exceeded values are defined by the AI algorithm.
[0021] The alternating mutual support service module includes order diversion and store closure diversion. Each offline service platform has a limit on the number of orders. When the number of orders on an offline service platform exceeds the limit, the data is transmitted to the industrial AI management system, which then allocates the excess orders to another nearby offline service platform. Store closure diversion involves offline service platforms proactively reporting to the industrial AI management system in advance. The industrial AI management system then sends the closure information to the brand company, which adjusts the corresponding online service platform to a closed state. The brand company will also stop assigning orders to the offline service platform through the industrial AI management system. The reward and punishment system includes prioritizing order assignments, providing cash rewards, reducing order assignments, or closing offline service platforms based on user order volume and positive reviews. Offline services rely on existing customers in the region, while online services are ordered through online service platforms. The shop-in-shop model of this invention aims to simplify franchising, save costs, and reduce service fees. By combining the two internet platforms, we can achieve precise food quality assurance and excellent customer service, better realize business opportunities for thousands of franchise stores, enhance business opportunities and provide high-quality services, streamline procedures and make alliance cooperation more accessible, and benefit customers.
[0022] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0023] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A store-in-store and dual-Internet operation model in the catering industry, characterized in that: Including online service platform, multiple offline service platforms, brand company and industrialized AI management system; including the following steps: Step S1, the user uses a personal account to log in to the online service platform and enter the brand company to select and purchase items; Step S2: After the user selects the item to be purchased, the brand company matches the offline service platform closest to the user's delivery address based on the user's delivery address; Step S3, the offline service platform tests the quality and safety of the items and transmits the test results to the industrial AI management system; Step S4: The items that have passed the offline service platform's inspection are delivered to the user or the user picks them up at the offline service platform.
2. According to claim 1, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The multiple offline service platforms are embedded in existing business stores, becoming stores within existing business stores.
3. According to claim 1, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The industrialized AI management system includes a digital supervision center, a food safety supervision module, an alternating mutual assistance service module and a reward and punishment system process module; the food safety supervision module includes a portable food biogenic amine AI tester, which is equipped on each offline service platform, and each of the portable food biogenic amine AI testers is coded.
4. According to claim 3, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The portable food biogenic amine AI tester is connected to a digital supervision center. Each portable food biogenic amine AI tester is provided with an intelligent algorithm. The portable food biogenic amine AI tester tests food and transmits the test results to the digital supervision center for analysis.
5. According to claim 4, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: If the test result of the portable food biogenic amine AI tester is qualified, the qualified test result will be uploaded to the industrialized AI management system and the food will be sold to the user. If the test result of the portable food biogenic amine AI tester is unqualified, the unqualified test result will be uploaded to the industrialized AI management system and the food will be sealed and wait for recycling.
6. According to claim 5, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The portable food biogenic amine AI tester tests the biogenic amine index of food by transferring electrons between enzyme biosensor enzymes and electrodes, and the AI algorithm defines whether the value is qualified or exceeded.
7. According to claim 3, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The alternating mutual assistance service module includes order diversion and store closure diversion; each offline service platform is set with a limit on the order quantity. When the order quantity of the offline service platform exceeds the limit, the data is transmitted to the industrialized AI management system, and the industrialized AI management system allocates the excess order quantity to another similar offline service platform.
8. According to claim 7, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The store closure diversion includes the offline service platform actively reporting to the industrialized AI management system in advance, the industrialized AI management system sending the store closure information to the brand company, the brand company adjusting the online service platform corresponding to the offline service platform to a rest state, and the brand company stopping dispatching orders to the offline service platform through the industrialized AI management system.
9. According to claim 3, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The reward and punishment system process includes giving priority to offline service platforms, providing cash rewards, or reducing orders or closing offline service platforms based on the number of orders and the degree of praise placed by users.
10. According to claim 5, a store-in-store and dual-Internet operation model in the catering industry is characterized in that: The offline service platform uploads the required food to the industrialized AI management system in advance, and the industrialized AI management system conducts unified procurement and distribution; and uniformly recycles food with unqualified test results.