Artificial Intelligence-Based Food Delivery Supply Chain Management System

Abstract

The present invention relates to the technical field of takeaway systems, and in particular to an artificial intelligence-based takeaway supply chain management system, the system comprising an order management module, which is used to manage users' takeaway orders based on users' ordering information and merchant information on a takeaway platform, including a user information acquisition unit, a merchant information acquisition unit, and a merchant recommendation unit; a delivery management module, which is used to manage the delivery process of takeaways based on the rider's work completion evaluation value, including a rider selection unit, a route planning unit, and a rider evaluation unit; a meal pickup management module, which is used to manage the meal pickup process based on users' feedback information, including a meal pickup information receiving unit and a takeaway coordination unit; an adjustment module, which is used to determine adjustments to the takeaway supply chain management process based on the growth rate of the number of people using the takeaway platform within a preset time. The present invention improves the accuracy of the takeaway supply chain management process and thus enhances the user's takeaway service experience.

Description

Technical Field

[0001] The present invention relates to the technical field of takeout delivery systems, and in particular to a takeout delivery supply chain management system based on artificial intelligence. Background Art

[0002] With the current employment trend of most people choosing to work in developed cities, more and more people who cannot cook choose to order takeout to solve their eating problems, and the takeout industry has become very popular. However, behind the popularity of the takeout industry, there are more and more problems. Therefore, the management of the external supply chain has become a hot topic.

[0003] Chinese Patent Publication No.: CN107341743B discloses a takeaway management system, including a merchant client and a cloud server communicatively connected to the merchant client; the merchant client includes an order integration module, an order sorting module and a meal distribution module; wherein the order integration module is used to receive takeaway orders sent by various takeaway platforms, and integrate the received takeaway orders according to the takeaway order format preset by the merchant to generate a merchant order; the order sorting module is used to sort the merchant orders in the same delivery area according to the delivery time; the meal distribution module is used to obtain the meal information on the merchant order, and generate meal production guidance information according to the preset meal distribution rules; the cloud server is used to receive the merchant orders uploaded by the merchant client and perform data analysis on the merchant orders.

[0004] This shows that the existing technology has the problem of insufficiently precise control over the takeaway supply chain management process, which leads to poor takeaway service experience for users and thus reduces the number of users of the takeaway platform. Summary of the Invention

[0005] To this end, the present invention provides an artificial intelligence-based takeaway supply chain management system to overcome the problem in the prior art that the control of the takeaway supply chain management process is not precise enough, resulting in poor takeaway service experience for users and thus reducing the number of users of the takeaway platform.

[0006] To achieve the above objectives, the present invention provides an artificial intelligence-based takeout supply chain management system, comprising:

[0007] An order management module, which manages users' takeout orders based on their order information and merchant information on the takeout platform. It includes a user information acquisition unit for acquiring user order information, a merchant information acquisition unit for acquiring merchant information, and a merchant recommendation unit for recommending similar merchants.

[0008] The delivery management module is connected to the order management module and is used to manage the delivery process of takeout food based on the rider's work completion evaluation value. It includes a rider selection unit for selecting riders, a route planning unit for planning delivery routes, and a rider evaluation unit for evaluating riders;

[0009] A meal pickup management module, which is connected to the delivery management module and is used to manage the meal pickup process based on user feedback information, including a meal pickup information receiving unit for receiving meal pickup information and a takeaway coordination unit for coordinating user takeaway orders;

[0010] An adjustment module, which is connected to the order management module, the delivery management module, and the meal pickup management module, and is used to determine adjustments to the food delivery supply chain management process based on the growth rate of the number of food delivery platform users within a preset time period;

[0011] Among them, the merchant recommendation unit determines to recommend similar merchants to the user based on the order saturation of the merchant where the user places the order and the number of orders placed by the user at the merchant where the user places the order; the delivery management module selects riders based on the riders' work completion; and the meal pickup management module determines to issue a takeaway coordination application to the user based on the user's meal pickup time.

[0012] Furthermore, the order management module determines that the merchant recommendation unit recommends similar merchants to the user based on a comparison result that the order saturation of the merchant where the user places an order is greater than or equal to a second preset saturation.

[0013] Furthermore, the order management module performs a secondary determination based on a comparison result that the order saturation of the merchant where the user places the order is greater than or equal to a first preset saturation and less than a second preset saturation.

[0014] Furthermore, under the condition of determining to perform a secondary judgment, the order management module determines to recommend similar merchants to the user based on the comparison result that the number of orders placed by the user at the merchant is less than a preset number.

[0015] Furthermore, the delivery management module determines that the rider selection unit selects the rider with the highest work completion among the riders based on a comparison result that the number of riders within a preset distance from the merchant is greater than or equal to a preset number.

[0016] Furthermore, the meal pickup management module determines that the takeaway coordination unit issues a takeaway coordination application to the user based on a comparison result that the user's meal pickup time is greater than a preset meal pickup time.

[0017] Furthermore, the takeaway coordination unit determines that the takeaway is a coordinateable takeaway based on a comparison result that the order similarity of takeaways within a preset distance is greater than or equal to the preset order similarity of takeaways, under the condition of determining that a takeaway coordination application is issued to the user.

[0018] Furthermore, the adjustment module determines to adjust the takeaway supply chain management process according to the comparison result that the growth rate of the number of users of the takeaway platform within the preset time is less than the preset growth rate.

[0019] Furthermore, under the condition of determining the adjustment of the takeaway supply chain management process, the adjustment module determines to adjust the preset order similarity with a first adjustment coefficient based on the comparison result that the absolute value of the difference between the growth rate of the number of users of the takeaway platform within a preset time and the preset growth rate is less than or equal to the preset difference.

[0020] Furthermore, under the condition of determining the adjustment of the takeaway supply chain management process, the adjustment module determines to adjust the preset saturation with a second adjustment coefficient based on the comparison result that the absolute value of the difference between the growth rate of the number of users of the takeaway platform within the preset time and the preset growth rate is greater than the preset difference.

[0021] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention determines the user's waiting time based on the user's order information and merchant information through the order management module, and determines the merchant's order saturation through the number of orders in the merchant information, and recommends similar merchants and the same dishes to the user through the saturation and the number of times the user has placed an order at the merchant to reduce the waiting time of the takeaway order user, and confirms whether the user is a repeat customer by determining the number of times the user has placed an order at the merchant, and then determines whether to recommend similar merchants and the same dishes, thereby improving the accuracy of takeaway supply chain management. At the same time, the product recommendation unit recommends merchants with the same dishes to enable users to experience different merchant dishes, thereby improving the user's dining experience, thereby improving the user's takeaway service experience.

[0022] Furthermore, the present invention selects riders based on the number of riders within a preset distance and the riders' work completion when assigning orders through the delivery management module. Under the condition that the number of riders within the preset distance is greater than two, the rider with the highest work completion among all riders is selected to deliver the takeaway. The above method can not only improve the user's takeaway service experience, but also motivate the riders to serve the users with a better service attitude and thereby improve their own work completion. The above method further improves the accuracy of the takeaway supply chain management process.

[0023] Furthermore, the present invention determines whether to issue a takeaway coordination application to the user based on the user's takeaway time and the preset takeaway time through the meal pickup management module. If the user's takeaway time is greater than the preset takeaway time, it means that the user has filled in the wrong address, and the takeaway coordination unit determines to provide the customer with coordinated takeaway. Through the above method, not only can the time wasted by users due to incorrect information filling in be reduced, but also the completion efficiency of takeaway can be improved, and the accuracy of the control of the takeaway supply chain management process can be improved.

[0024] Furthermore, the present invention determines the coordinable takeout based on the similarity between the takeout orders within three kilometers of the wrong address and the user's takeout orders through the takeout coordination unit and provides the coordinable takeout to the user for selection. In addition, the takeout coordination unit ensures the smooth progress of the coordination process from the aspects of similar dishes, similar merchants, similar tastes and similar prices. Through the above method, the takeout service is improved to provide corresponding services for the special circumstances of the user, and the accuracy of the takeout supply chain management is improved.

[0025] Furthermore, the present invention determines the adjustment of the takeaway supply chain management process according to the growth rate of the number of people using the takeaway platform within a preset time and the preset growth rate through the adjustment module. If the growth rate is less than the preset growth rate, it means that the management process of the takeaway supply chain is unqualified and the management process needs to be adjusted. In addition, the adjustment module determines the adjustment method according to the comparison result of the absolute value of the difference between the growth rate of the number of people using the takeaway platform within the preset time and the preset growth rate and the preset difference. The adjustment module also determines the adjustment coefficient through the growth rate and the preset growth rate, thereby improving the accuracy of the control of the takeaway supply chain management process to enhance the user's takeaway service experience and thereby increase the number of users of the takeaway platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a schematic diagram of the structure of an artificial intelligence-based takeout supply chain management system according to an embodiment of the present invention;

[0027] Figure 2 This is a schematic diagram of the structure of the order management module of the takeaway supply chain management system based on artificial intelligence according to an embodiment of the present invention;

[0028] Figure 3 This is a schematic diagram of the structure of the delivery management module of the takeaway supply chain management system based on artificial intelligence according to an embodiment of the present invention;

[0029] Figure 4 This is a structural diagram of a meal pickup management module in an artificial intelligence-based takeout supply chain management system according to an embodiment of the present invention;

[0030] Figure 5 This is a workflow diagram for recommending similar merchants to users based on the artificial intelligence-based takeout supply chain management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0032] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0033] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0034] See also Figure 1-Figure 5 As shown, Figure 1 This is a schematic diagram of the structure of an artificial intelligence-based takeout supply chain management system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the order management module of the takeaway supply chain management system based on artificial intelligence according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the delivery management module of the takeaway supply chain management system based on artificial intelligence according to an embodiment of the present invention; Figure 4 This is a structural diagram of a meal pickup management module in an artificial intelligence-based takeout supply chain management system according to an embodiment of the present invention; Figure 5 This is a workflow diagram for recommending similar merchants to users based on the artificial intelligence-based takeout supply chain management system in an embodiment of the present invention.

[0035] The artificial intelligence-based takeout supply chain management system according to the embodiment of the present invention includes:

[0036] An order management module, which manages users' takeout orders based on their order information and merchant information on the takeout platform. It includes a user information acquisition unit for acquiring user order information, a merchant information acquisition unit for acquiring merchant information, and a merchant recommendation unit for recommending similar merchants.

[0037] The delivery management module is connected to the order management module and is used to manage the delivery process of takeout food based on the rider's work completion evaluation value. It includes a rider selection unit for selecting riders, a route planning unit for planning delivery routes, and a rider evaluation unit for evaluating riders;

[0038] A meal pickup management module, which is connected to the delivery management module and is used to manage the meal pickup process based on user feedback information, including a meal pickup information receiving unit for receiving meal pickup information and a takeaway coordination unit for coordinating user takeaways;

[0039] The adjustment module is connected to the order management module, the delivery management module and the meal pickup management module respectively, and is used to determine the adjustment of the takeaway supply chain management process based on the comparison result of the growth rate of the number of users of the takeaway platform within a preset time and the preset growth rate.

[0040] In the embodiment of the present invention, the food delivery platform includes but is not limited to "Meituan, Ele.me and Dianping"; the user order information includes but is not limited to "the user's order name, user address information and user contact information"; the merchant information includes but is not limited to "merchant rating information, merchant real-time order information and merchant dish information"; the delivery information includes but is not limited to "the rider's number of work orders, delivery speed and user evaluation information of the rider"; the user's feedback information includes but is not limited to "wrong address filled in, takeaway leaked and takeaway not picked up".

[0041] Specifically, the order management module manages the user's takeaway order by determining the merchant recommendation unit to recommend similar merchants to the user based on the comparison result of the order saturation D of the merchant where the user placed the order and the preset saturation Di;

[0042] If D<D0, the merchant recommendation unit does not recommend similar merchants to the user;

[0043] If D0≤D<D1, the merchant recommendation unit determines to perform a secondary judgment;

[0044] If D≥D1, the merchant recommendation unit does not recommend similar merchants to the user;

[0045] Wherein, i=0, 1; the value of the first preset saturation D0 is set to 0.7, and the value of the second preset saturation D1 is set to 0.9, but the above values are not limited thereto, and those skilled in the art may also adjust the values according to actual needs.

[0046] Specifically, under the condition that the merchant recommendation unit determines to perform a secondary judgment, the merchant recommendation unit determines to recommend similar merchants to the user based on the result of comparing the number of orders N of the user at the merchant with the preset number N0;

[0047] If N≥N0, the merchant recommendation unit does not recommend similar merchants to the user;

[0048] If N<N0, the merchant recommendation unit recommends similar merchants to the user;

[0049] Among them, the value of the preset number N0 is one-fifth of the number of times the user has placed an order for the same product, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0050] In an embodiment of the present invention, the similar merchants are merchants that have the same dishes as the merchant where the user placed the order and whose order saturation is less than a second preset saturation. The order saturation is the ratio of the number of orders that the merchant needs to complete within one hour to the historical maximum number of orders completed by the merchant within one hour. The orders include takeout orders and in-store orders.

[0051] The merchant recommendation unit in the embodiment of the present invention determines the recommended merchant based on a database constructed by the names of various dishes on the takeaway platform.

[0052] Specifically, the present invention determines the user's waiting time based on the user's order information and merchant information through the order management module, and determines the merchant's order saturation through the number of orders in the merchant information, and recommends similar merchants and the same dishes to the user through the saturation and the number of times the user has placed an order at the merchant to reduce the waiting time of the takeaway order user, and confirms whether the user is a repeat customer by determining the number of times the user has placed an order at the merchant, and then determines whether to recommend similar merchants and the same dishes, thereby improving the accuracy of takeaway supply chain management. At the same time, the product recommendation unit recommends merchants with the same dishes to enable users to experience different merchants' dishes, thereby improving the user's dining experience, thereby improving the user's takeaway service experience.

[0053] Specifically, under the condition that the merchant completes the user's order and delivers it, the delivery management module manages the delivery process of the takeaway, including determining that the rider selection unit selects the rider with the highest work completion degree H among the riders based on the comparison result of the number M of riders within a preset distance from the merchant and the preset number M0;

[0054] If M≥M0, the rider selection unit selects the rider with the highest degree of work completion among the riders;

[0055] If M<M0, the rider selection unit determines that no rider needs to be selected;

[0056] The value of the preset number M0 is set to 2, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0057] In the embodiment of the present invention, the preset distance is 1.5 kilometers.

[0058] Specifically, the work completion degree H is calculated by the following formula:

[0059]

[0060] Among them, X represents the average historical score of the rider obtained by the rider evaluation unit, Xmax represents the maximum value of the rider score, and its value is set to 10. α represents the influence coefficient of the rider score on the rider's work completion, and its value is set to 0.44. Y represents the average value of the similarity between the rider's historical delivery trajectory and the route trajectory planned by the route planning unit. Y0 represents the preset similarity, and its value is set to 0.95. β represents the influence coefficient of the similarity between the delivery trajectory and the planned route trajectory on the work completion, and its value is set to 0.56.

[0061] Specifically, the present invention selects riders based on the number of riders within a preset distance and the riders' work completion when assigning orders through the delivery management module. Under the condition that the number of riders within the preset distance is greater than two, the rider with the highest work completion among all riders is selected to deliver the takeaway. The above method can not only improve the user's takeaway service experience, but also motivate the riders to serve the users with a better service attitude and thereby improve their own work completion. The above method further improves the accuracy of the takeaway supply chain management process.

[0062] Specifically, under the condition that the rider delivers the takeaway to the destination, the meal pickup management module determines that the takeaway coordination unit issues a takeaway coordination request to the user based on the comparison result of the user's meal pickup time T and the preset meal pickup time T0;

[0063] If T>T0, the takeaway coordination unit determines to issue a takeaway coordination request to the user;

[0064] If T≤T0, the takeaway coordination unit determines not to issue a takeaway coordination request to the user;

[0065] Among them, the preset meal pickup time T0 is the historical average of the user's meal pickup time when the takeaway coordination unit does not issue an external coordination application to the user, but the above value is not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0066] Specifically, the present invention determines whether to issue a takeaway coordination application to the user based on the user's takeaway time and the preset takeaway time through the meal pickup management module. If the user's takeaway time is greater than the preset takeaway time, it means that the user has filled in the wrong address, and the takeaway coordination unit determines to provide the customer with coordinated takeaway. Through the above method, not only can the time wasted by users due to incorrect information filling in be reduced, but also the efficiency of takeaway completion can be improved, and the accuracy of takeaway supply chain management process control can be improved.

[0067] Specifically, the takeaway coordination unit determines to provide the user with a coordinable takeaway under the condition that a takeaway coordination application is issued to the user. The takeaway coordination unit determines whether the takeaway is a coordinable takeaway based on a comparison result of the order similarity Q of the takeaways within a preset distance and the preset order similarity Q0;

[0068] If Q≥Q0, the takeaway is a coordinated takeaway;

[0069] If Q<Q0, the takeaway is not a coordinated takeaway;

[0070] Among them, the preset value of order similarity Q0 is the historical average value of the similarity of coordinated takeout orders, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0071] In the embodiment of the present invention, the preset distance is 3 kilometers from the user's location, and the calculation coefficient of the takeaway order similarity includes but is not limited to "same dish name, same merchant, same taste and same price".

[0072] Specifically, the present invention determines the coordinable takeout based on the similarity between the takeout orders within three kilometers of the wrong address and the user's takeout orders through the takeout coordination unit, and provides the coordinable takeout to the user for selection. In addition, the takeout coordination unit ensures the smooth progress of the coordination process in terms of dishes, merchants, taste and price. The above method improves the ability of the takeout service to provide corresponding services for the special circumstances of the user, and improves the accuracy of the takeout supply chain management.

[0073] Specifically, the adjustment module determines the adjustment of the takeaway supply chain management process based on the comparison result of the growth rate S of the number of users of the takeaway platform within a preset time period and the preset growth rate S0;

[0074] If S<S0, the adjustment module determines to adjust the takeaway supply chain management process;

[0075] If S≥S0, the adjustment module determines not to adjust the takeaway supply chain management process;

[0076] Among them, the preset growth rate S0 is the historical average growth rate of the food delivery platform, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0077] In the embodiment of the present invention, the preset time is set to 3 months.

[0078] Specifically, under the condition that the adjustment of the takeaway supply chain management process is determined, the adjustment module determines the adjustment method according to the comparison result of the absolute value of the difference between the growth rate of the number of users of the takeaway platform within the preset time and the preset growth rate △S and the preset difference △S0;

[0079] If ΔS≤ΔS0, the adjustment module determines to adjust the takeaway supply chain management process in a first adjustment manner;

[0080] If ΔS>ΔS0, the adjustment module determines to adjust the takeaway supply chain management process in a second adjustment manner;

[0081] The value of the preset difference ΔS0 is set to one tenth of the preset growth rate, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0082] Specifically, under the condition that the takeaway supply chain management process is adjusted in a first adjustment manner, the adjustment module adjusts the preset order similarity using a first adjustment coefficient K1;

[0083] Under the condition that the adjustment module adjusts the takeaway supply chain management process in a second adjustment manner, the adjustment module adjusts the preset saturation using a second adjustment coefficient K2.

[0084] Specifically, the first adjustment coefficient K1 is calculated and set by the following formula:

[0085]

[0086] The second adjustment coefficient K2 is calculated and set by the following formula:

[0087]

[0088] The adjusted preset order similarity is set to Q0'=K1×Q0;

[0089] The adjusted preset saturation is set to Di'=K2×Di.

[0090] Specifically, the present invention determines the adjustment of the takeaway supply chain management process according to the growth rate of the number of people using the takeaway platform within a preset time and the preset growth rate through an adjustment module. If the growth rate is less than the preset growth rate, it means that the management process of the takeaway supply chain is unqualified and the management process needs to be adjusted. In addition, the adjustment module determines the adjustment method according to the comparison result of the absolute value of the difference between the growth rate of the number of people using the takeaway platform within a preset time and the preset growth rate and the preset difference. The adjustment module also determines the adjustment coefficient through the growth rate and the preset growth rate, thereby improving the accuracy of the control of the takeaway supply chain management process to enhance the user's takeaway service experience and thereby increase the number of users of the takeaway platform.

[0091] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0092] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. The takeaway supply chain management system based on artificial intelligence is characterized by: include: An order management module, which manages users' takeout orders based on their order information and merchant information on the takeout platform. It includes a user information acquisition unit for acquiring user order information, a merchant information acquisition unit for acquiring merchant information, and a merchant recommendation unit for recommending similar merchants. The delivery management module is connected to the order management module and is used to manage the delivery process of takeout food based on the rider's work completion evaluation value. It includes a rider selection unit for selecting riders, a route planning unit for planning delivery routes, and a rider evaluation unit for evaluating riders; A meal pickup management module, which is connected to the delivery management module and is used to manage the meal pickup process based on user feedback information, including a meal pickup information receiving unit for receiving meal pickup information and a takeaway coordination unit for coordinating user takeaway orders; An adjustment module, which is connected to the order management module, the delivery management module, and the meal pickup management module, and is used to determine adjustments to the food delivery supply chain management process based on the growth rate of the number of food delivery platform users within a preset time period; The merchant recommendation unit determines to recommend similar merchants to the user based on the order saturation of the merchant where the user placed the order and the number of orders the user has placed at the merchant where the user placed the order. The delivery management module selects riders based on the riders' work completion rate. The meal pickup management module determines to issue a takeaway coordination request to the user based on the user's meal pickup time. The order management module determines that the merchant recommendation unit recommends similar merchants to the user based on a comparison result that the order saturation of the merchant placed an order by the user is greater than or equal to a second preset saturation; The order management module determines to perform a secondary determination based on a comparison result that the order saturation of the merchant where the user places the order is greater than or equal to the first preset saturation and less than the second preset saturation; The order management module determines to recommend similar merchants to the user based on the comparison result that the number of orders placed by the user at the merchant is less than a preset number under the condition of determining to perform a secondary judgment; The similar merchants are merchants that have the same dishes as the merchant where the user placed the order and whose order saturation is less than a second preset saturation. The order saturation is the ratio of the number of orders that the merchant needs to complete within one hour to the maximum number of orders completed by the merchant within one hour. The orders include takeout orders and in-store orders. The delivery management module determines that the rider selection unit selects the rider with the highest work completion among the riders based on a comparison result that the number of riders within a preset distance from the merchant is greater than or equal to a preset number.

2. The artificial intelligence-based takeaway supply chain management system according to claim 1 is characterized in that: The meal pickup management module determines that the takeaway coordination unit issues a takeaway coordination application to the user based on a comparison result that the user's meal pickup time is greater than the preset meal pickup time.

3. The artificial intelligence-based takeaway supply chain management system according to claim 2 is characterized in that: The takeaway coordination unit determines that the takeaway is a coordinateable takeaway based on a comparison result that the order similarity of takeaways within a preset distance is greater than or equal to the preset order similarity of takeaways, under the condition of determining that a takeaway coordination application is issued to the user.

4. The artificial intelligence-based takeaway supply chain management system according to claim 3 is characterized in that: The adjustment module determines to adjust the takeaway supply chain management process according to the comparison result that the growth rate of the number of users of the takeaway platform within the preset time is less than the preset growth rate.

5. The artificial intelligence-based takeaway supply chain management system according to claim 4 is characterized in that: Under the condition of determining the adjustment of the takeaway supply chain management process, the adjustment module determines to adjust the preset order similarity with a first adjustment coefficient based on the comparison result that the absolute value of the difference between the growth rate of the number of users of the takeaway platform within a preset time and the preset growth rate is less than or equal to the preset difference.

6. The artificial intelligence-based takeaway supply chain management system according to claim 5, characterized in that: Under the condition of determining the adjustment of the takeaway supply chain management process, the adjustment module determines to adjust the preset saturation with a second adjustment coefficient based on the comparison result that the absolute value of the difference between the growth rate of the number of users of the takeaway platform within a preset time and the preset growth rate is greater than the preset difference.

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