Intelligent remote offline multi-point self-selling equipment and selling method

Abstract

The invention relates to the technical field of product exhibition and sales, in particular to an intelligent remote offline multi-point self-selling device and method, and the device comprises a cabinet body, a communication unit, a processing unit, a plurality of storage units, and display units in one-to-one correspondence with the storage units, the communication unit, the stock unit and the display unit are respectively in signal connection with the processing unit; the goods storage unit is used for placing goods to be sold, the display unit is used for displaying related information of the goods in the goods storage unit corresponding to the display unit, and the communication unit is used for communicating with external equipment. The invention aims to provide the intelligent remote offline multi-point self-selling equipment, so that a production supplier can obtain the commodity condition in the self-selling equipment in time, and the commodity information can be displayed to attract the purchasing motivation of consumers.

Description

Technical Field

[0001] The present invention relates to the technical field of product exhibition and sales, and in particular to an intelligent remote offline multi-point self-selling device and a sales method. Background Art

[0002] With the rapid development of Internet technology, traditional sales models are gradually being replaced by new intelligent and automated sales systems. Traditional offline sales models usually require manual participation, low sales efficiency, unscientific inventory management, and unreasonable logistics allocation, leading to problems such as product supply and demand mismatch, inventory backlogs, and excessive logistics costs. In order to improve sales efficiency and resource utilization, intelligent remote offline multi-point self-selling equipment came into being.

[0003] However, most of the existing intelligent self-selling equipment systems lack in-depth optimization of the entire supply chain process, especially in logistics route optimization, inventory status monitoring, SKU management, sales data analysis, etc. Traditional solutions mostly rely on simple addition and subtraction operations, lack the ability to efficiently process complex variables (such as logistics distance, transportation time, inventory demand changes), and cannot achieve global optimization of the supply chain. Summary of the invention

[0004] In order to overcome the shortcomings and deficiencies in the prior art, the purpose of the present invention is to provide an intelligent remote offline multi-point self-selling equipment and sales method, so that manufacturers and suppliers can obtain the status of goods in the self-selling equipment in a timely manner, have efficient data processing and intelligent optimization capabilities, and at the same time attract consumers' purchasing motivation.

[0005] The present invention is achieved through the following technical solutions:

[0006] In the first aspect, the present invention discloses an intelligent remote offline multi-point self-selling device, including a cabinet, a communication unit installed in the cabinet, a processing unit, a plurality of inventory units and a display unit corresponding to the inventory units one by one, wherein the communication unit, the inventory unit and the display unit are respectively connected to the processing unit signal; the inventory unit is used to place goods to be sold, the display unit is used to display relevant information of the goods in the corresponding inventory unit, and the communication unit is used to communicate with external equipment.

[0007] In combination with the first aspect, further, the cabinet is provided with a cavity, the inventory unit comprises a box with an open end, the box is embedded in the cavity, and the display unit is arranged in the corresponding box.

[0008] In combination with the first aspect, further, the self-selling equipment also includes a plurality of weighing units corresponding one to one with the inventory units, the weighing units are arranged in corresponding boxes, and the weighing units are respectively connected to the processing module signals.

[0009] In combination with the first aspect, further, the box body is detachably connected to the cavity body, an outer side wall of the box body is provided with a first electrical contact, an inner side wall of the cavity is provided with a second electrical contact corresponding to the second electrical contact, the display unit is electrically connected to the first electrical contact, and the processing unit is electrically connected to the second electrical contact;

[0010] When the box is installed in the cavity, the first electrical contact and the second electrical contact are in contact and conduction.

[0011] In a second aspect, the present invention further discloses a sales method for an intelligent network offline self-selling platform, which specifically comprises the following steps:

[0012] S100. The production supplier places an order from the platform, and the platform generates relevant orders. The platform outputs the minimized total cost linked to the logistics cost based on the geographical location, inventory status and transportation conditions of the goods;

[0013] S200. The platform distributes goods to different self-selling equipment according to demand based on real-time data;

[0014] S300. The platform monitors the sales data of each sales device within a certain period of time, predicts the sales data of the SKU within a certain period of time, and adjusts the sales output of the SKU in the sales device;

[0015] S400. The platform automatically completes the reconciliation within each settlement cycle based on the sales revenue of each SKU;

[0016] The S500 platform collects product information from all suppliers and outputs capacity planning for production suppliers.

[0017] In combination with the second aspect, further, in step S100, the calculation formula for minimizing the cost is:

[0018] C total =min(L(x)+αD(y)+βI(z)+γT(w))

[0019] Among them, L(x) is the logistics cost function, x is the variable affected by the logistics cost, D(y) is the transportation distance function, y is the distance variable, I(z) is the inventory status function, z is the inventory status variable, T(w) is the transportation time function, w is the time variable, α, β, γ are weight coefficients.

[0020] In combination with the second aspect, further, the calculation formula of the logistics cost function L(x) is:

[0021] L(x)=C D +(C d ×d(x))+(C w ×w(x))+C m

[0022] Among them, C b is the basic transportation cost, C d is the unit distance cost, d(x) is the transportation distance from the production site to the warehouse or sales equipment, C w is the unit weight cost, w(x) is the weight of the product or the total weight of the batch, C m For other miscellaneous expenses;

[0023] The calculation formula of the transport distance function D(y) is:

[0024]

[0025] Among them, d i，j (y) is the direct distance from location i to location j, v i，j (y) is the average transportation speed from location i to location j, c i，j (y) is the average energy consumption of transport vehicles, k v and k c is the weight coefficient representing the importance of speed and energy consumption in path selection;

[0026] The calculation formula of the inventory status function I(z) is:

[0027]

[0028] Among them, S k is the current inventory of warehouse k, C k is the maximum capacity of warehouse k, D t (sku i ) is the predicted demand for the i-th SKU product in the future time T, where T is the future time interval;

[0029] The calculation formula of the transportation time efficiency function T(w) is:

[0030]

[0031] Among them, t0 is the order processing time, t d For delivery time.

[0032] In combination with the second aspect, further, in step S200, the calculation formula of the allocation function of the platform to the self-selling device is:

[0033]

[0034] Among them, S i is the demand of each self-selling device for the i-th SKU, I jis the warehouse inventory of the i-th self-selling device, R(i, j) is the logistics cost of allocating the i-th SKU to the j-th self-selling device, and λ is the weight coefficient.

[0035] In combination with the second aspect, further, in step S300, the calculation formula of the sales output function of the SKU in the sales device is adjusted to:

[0036]

[0037] Among them, P t (sku i ) is the sales volume of the i-th SKU at time t, P t is the total sales volume at time t, is an exponential function of time decay.

[0038] In combination with the second aspect, further, in step S500, the calculation formula for outputting the production capacity planning for the production supplier is:

[0039] C production =max(∫0 T D t (p)dt-κC t )

[0040] Among them, D t (p) is the product demand forecast at time t, T is the planning time range, C t is the capacity planning, κ is the production cost coefficient, is the cumulative demand for the product within the time range T.

[0041] In a third aspect, the present invention further discloses a computer device, which includes a processor and a storage medium;

[0042] The storage medium is used to store instructions;

[0043] The processor is used to operate according to the instructions to execute the steps of the method described above.

[0044] Beneficial effects of the present invention:

[0045] The intelligent remote offline multi-point self-selling device of the present invention is provided with a communication unit, a processing unit, an inventory unit and a display unit. The inventory unit is used to place the goods to be sold, and the production supplier obtains the goods status in the self-selling device in time through the communication unit; the display unit displays the relevant information of the goods in the corresponding inventory unit, so as to attract the purchasing power of consumers;

[0046] In addition, the present invention also discloses a sales method for an intelligent network offline self-sales platform, which solves the problems of low logistics efficiency, unscientific inventory management, and untimely sales monitoring existing in traditional sales systems by timely optimizing logistics costs, transportation routes, inventory status, production capacity, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0048] Figure 1 This is a schematic diagram of the structure of Example 1 of the present invention.

[0049] Figure 2 This is an exploded view of the internal structure of Example 1 of the present invention.

[0050] Figure 3 This is a flow chart of Example 2 of the present invention.

[0051] Reference numerals

[0052] Cabinet--100, cavity--101, inventory unit--200, box--201, first electrical contact--202, display unit--300, second electrical contact--301. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0054] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0055] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0056] With the rapid development of Internet technology, traditional sales models are gradually being replaced by new intelligent and automated sales systems. Traditional offline sales models usually require manual participation, low sales efficiency, unscientific inventory management, and unreasonable logistics allocation, leading to problems such as product supply and demand mismatch, inventory backlogs, and excessive logistics costs. In order to improve sales efficiency and resource utilization, intelligent remote offline multi-point self-selling equipment came into being.

[0057] However, most of the existing intelligent self-selling equipment systems lack in-depth optimization of the entire supply chain process, especially in logistics route optimization, inventory status monitoring, SKU management, sales data analysis, etc. Traditional solutions mostly rely on simple addition and subtraction operations, lack the ability to efficiently process complex variables (such as logistics distance, transportation time, inventory demand changes), and cannot achieve global optimization of the supply chain.

[0058] Example 1

[0059] In order to solve the above problems, this embodiment discloses an intelligent remote offline multi-point self-selling device, whose structure is as follows: Figure 1 and Figure 2 As shown, the self-selling equipment includes a cabinet 100, a communication unit installed on the cabinet 100, a processing unit, a plurality of inventory units 200 and a display unit 300 corresponding to the inventory units 200 one by one, and the communication unit, the inventory unit 200 and the display unit 300 are respectively connected to the processing unit signal; the inventory unit 200 is used to place the goods to be sold, the display unit 300 is used to display the relevant information of the goods in the corresponding inventory unit 200, and the communication unit is used to communicate with external equipment.

[0060] Furthermore, the cabinet 100 is provided with a cavity 101 , the inventory unit 200 includes a box 201 with an open end, the box 201 is embedded in the cavity 101 , and the display unit 300 is arranged in the corresponding box 201 .

[0061] Furthermore, the self-selling equipment also includes a plurality of weighing units corresponding one to one with the inventory units 200 , the weighing units are arranged in corresponding boxes 201 , and the weighing units are respectively connected to the processing module signals.

[0062] Further, the box 201 is detachably connected to the cavity 101, the outer wall of the box 201 is provided with a first electrical contact 202, the inner wall of the cavity 101 is provided with a second electrical contact 301 corresponding to the second electrical contact 301, the display unit 300 is electrically connected to the first electrical contact 202, and the processing unit is electrically connected to the second electrical contact 301;

[0063] When the box body 201 is installed in the cavity 101 , the first electrical contact 202 and the second electrical contact 301 are in contact and conduction.

[0064] Furthermore, a plurality of inventory units 200 are evenly arranged.

[0065] Furthermore, the self-selling device also includes a voice module installed in the cabinet 100, and the voice module is signal-connected to the processing unit.

[0066] In this embodiment, the communication unit is preferably a communication device such as a Bluetooth module, a 5G network module, etc., the processing unit is preferably a single-chip microcomputer, the display unit 300 is preferably an IPS display screen, the weighing unit is preferably a gravity sensor, and the voice module is preferably a microphone and a speaker.

[0067] The self-selling equipment of this embodiment realizes the networking function by setting up a communication module. Each inventory unit 200 can correspond to a SKU. The supplier connects to the device through the Internet on the designated APP and edits the corresponding SKU. In addition, the voice, picture, and short video can be edited and played on the display module. The voice module is set to support the supplier and the buyer to try voice and video connection.

[0068] The display module is connected to the device via a data cable, Bluetooth, wifi, wireless network, etc. The display module is placed in the box 201 of the goods being sold, and displays part or all of the SKU information of the goods, including but not limited to pictures, voice, and short videos.

[0069] Self-selling equipment realizes weighing and counting functions through weighing modules. Each time the corresponding SKU goods are weighed or counted and sold, the corresponding payment is settled to the supplier account of the goods. All goods have special QR codes, bar codes or numbers to facilitate equipment entry and platform management.

[0070] Furthermore, a sales network is formed by networking multiple self-selling devices of this embodiment. These sales networks can form a platform. The platform has a designated APP. If a supplier needs to sell goods in a self-selling device terminal, he can apply on the APP. After approval, the platform can also provide logistics, warehousing, distribution and other services, and the supplier can also choose to complete transportation, warehousing, distribution, etc.

[0071] In addition, the platform collects data on the immediate supply of goods to hospitals from all suppliers, the future supply and planned production of agricultural products, the sales of all self-selling equipment terminals and self-selling equipment under the intelligent network, and the sales of different prices corresponding to different prices. Suppliers can view the above-related data on the designated APP, and adjust the price of SKUs based on the data, arrange the future planned production of agricultural products, and avoid overcapacity. Based on the above data, the platform adjusts the inventory of SKUs to avoid unsalable agricultural products due to short harvesting and storage periods.

[0072] Specifically, an intelligent remote offline multi-point self-selling device of the present embodiment is provided with a communication unit, a processing unit, an inventory unit 200 and a display unit 300. The inventory unit 200 is used to place goods to be sold, and the production supplier can obtain the status of the goods in the self-selling device in a timely manner through the communication unit; the display unit 300 displays the relevant information of the goods in the corresponding inventory unit 200 to attract consumers' purchasing motivation.

[0073] That is to say, an intelligent remote offline multi-point self-selling device in this embodiment is provided with a communication unit, a processing unit, an inventory unit and a display unit. The inventory unit is used to place goods to be sold, and the production supplier can obtain the status of the goods in the self-selling device in a timely manner through the communication unit; the display unit is used to display relevant information of the goods in the corresponding inventory unit to attract consumers' purchasing motivation.

[0074] Example 2

[0075] The embodiment of the present invention also discloses a sales method for an intelligent network offline self-selling platform, which specifically includes the following steps:

[0076] S100. The production supplier places an order from the platform, and the platform generates relevant orders. The platform outputs the minimized total cost linked to the logistics cost based on the geographical location, inventory status and transportation conditions of the goods. The meaning of placing an order specifically refers to the production supplier uploading product information on the platform;

[0077] S200. The platform distributes goods to different self-selling equipment according to demand based on real-time data;

[0078] S300. The platform monitors the sales data of each sales device within a certain period of time, predicts the sales data of the SKU within a certain period of time, and adjusts the sales output of the SKU in the sales device;

[0079] S400. The platform automatically completes the reconciliation within each settlement cycle based on the sales revenue of each SKU;

[0080] The S500 platform collects product information from all suppliers and outputs capacity planning for production suppliers.

[0081] It should be noted that after the manufacturer and supplier uploads the product information on the platform, the sales rights and ownership rights of the products still belong to the manufacturer and supplier; the price of the product that consumers see on their self-selling equipment is provided to consumers by the manufacturer and supplier on the platform, and this price can be adjusted on the platform according to the needs of the manufacturer and supplier.

[0082] Furthermore, in step S100, the calculation formula for minimizing the cost is:

[0083] C total =min(L(x)+αD(y)+βI(z)+γT(w))

[0084] Among them, L(x) is the logistics cost function, which represents the actual transportation cost from the production supplier's location to the warehouse, which may include fuel costs, labor costs, vehicle usage fees, etc.; x is the variable affecting the logistics cost, which may include transportation distance, cargo weight, vehicle type, etc.; D(y) is the transportation distance function, which is used to calculate the distance from the production supplier's location to the warehouse, which usually affects the transportation cost and timeliness; y is the distance variable, which represents the actual transportation distance between the two locations; I(z) is the inventory status function, which is a parameter used to represent the warehouse inventory status; z is the inventory status variable, which represents the ratio of inventory quantity to warehouse capacity; T(w) is the transportation timeliness function, which is used to measure the time required from shipment to the warehouse, which is usually related to logistics efficiency; w is the time variable, which represents the actual time spent on transportation; α, β, γ are weight coefficients, which represent the impact ratio of transportation distance in the total cost, the impact ratio of inventory status in the total cost, and the impact ratio of timeliness in the total cost, respectively, and are usually used to balance the relationship between logistics cost, transportation distance, inventory status and timeliness to ensure that the optimization goal meets business needs.

[0085] Furthermore, the calculation formula of the logistics cost function L(x) is:

[0086] L(x)=C D +(C d ×d(x))+(C w ×w(x))+C m

[0087] Among them, C b The basic transportation fee represents the basic startup cost, such as the fixed service fee of the logistics company; C d is the unit distance cost, which means the transportation cost per kilometer; d(x) is the transportation distance from the production site to the warehouse or sales equipment, C w is the unit weight cost, which means the transportation cost per kilogram of goods; w(x) is the weight of the product or the total weight of the batch; C mOther miscellaneous expenses, such as loading and unloading fees, insurance premiums, fuel surcharges, etc.;

[0088] The calculation formula of the transport distance function D(y) is:

[0089]

[0090] Among them, d i，j (y) is the direct distance from location i to location j, representing each distance in the transportation path; v i，j (y) is the average transportation speed from location i to location j, c i，j (y) is the average energy consumption of the transport vehicle, such as the fuel consumption or electricity consumption of the vehicle; k v and k c To express the importance of speed and energy consumption in path selection, the weight coefficient is generally selected according to the actual situation;

[0091] The calculation formula of the inventory status function I(z) is:

[0092]

[0093] Among them, S k is the current inventory of warehouse k, C k is the maximum capacity of warehouse k, D t (sku i ) is the predicted demand for the i-th SKU product in the future time T, where T is the future time interval, such as 1 month;

[0094] The calculation formula of the transportation time efficiency function T(w) is:

[0095]

[0096] Among them, t0 is the order processing time, t d For delivery time.

[0097] Furthermore, in step S200, the calculation formula of the allocation function of the platform to the self-selling device is:

[0098]

[0099] Among them, S i is the demand of each self-selling device for the i-th SKU, I j is the warehouse inventory of the i-th self-selling device, R(i, j) is the logistics cost of allocating the i-th SKU to the j-th self-selling device, and λ is the weight coefficient.

[0100] Furthermore, in step S300, the calculation formula of the sales output function of the SKU in the sales device is adjusted as follows:

[0101]

[0102] Among them, P t (sku i ) is the sales volume of the i-th SKU at time t, indicating the demand for the SKU at each sales point; P t is the total sales volume at time t, is an exponential function of time decay.

[0103] Furthermore, in step S500, the calculation formula for outputting the capacity planning for the production supplier is:

[0104] C production =max(∫0 T D t (p)dt-κC t )

[0105] Among them, D t (p) is the product demand forecast at time t, T is the planning time range, C t is the capacity planning, κ is the production cost coefficient, is the cumulative demand for the product within the time range T.

[0106] In summary, the sales method of the present embodiment for an intelligent network offline self-sales platform solves the problems of low logistics efficiency, unscientific inventory management, and untimely sales monitoring existing in the traditional sales system by timely optimizing logistics costs, transportation routes, inventory status, production capacity, etc.

[0107] Example 3

[0108] An embodiment of the present invention provides a computer device, including a processor and a storage medium;

[0109] The storage medium is used to store instructions;

[0110] The processor is used to operate according to the instructions to execute the steps of any method described in Example 2.

[0111] Example 4

[0112] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the method described in Example 2 are implemented.

[0113] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0114] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the essence and scope of the technical solution of the present invention.

Claims

1. An intelligent remote offline multi-point self-selling device, characterized in that: It includes a communication unit, a processing unit, a plurality of inventory units and a display unit corresponding to each of the inventory units, wherein the communication unit, the inventory unit and the display unit are respectively connected to the processing unit by signal; The inventory unit is used to place goods to be sold, the display unit is used to display relevant information of the goods in the corresponding inventory unit, and the communication unit is used to communicate with external equipment. The display unit corresponds to a product and displays the sku of the product. The data changes after the product is sold are weighed, settled, processed and connected to the network through the equipment.

2. The intelligent remote offline multi-point self-selling device according to claim 1, characterized in that: The self-selling device also includes a cabinet, which is provided with a cavity. The inventory unit includes a box with an open end, the box is embedded in the cavity, and the display unit is arranged in the corresponding box.

3. The intelligent remote offline multi-point self-selling device according to claim 2, characterized in that: The self-selling equipment also includes a plurality of weighing units corresponding to the inventory units one by one, the weighing units are arranged in corresponding boxes, and the weighing units are respectively connected to the processing module signals.

4. The intelligent remote offline multi-point self-selling device according to claim 2, characterized in that: The box body is detachably connected to the cavity body, the outer side wall of the box body is provided with a first electrical contact, the inner side wall of the cavity is provided with a second electrical contact corresponding to the second electrical contact, the display unit is electrically connected to the first electrical contact, and the processing unit is electrically connected to the second electrical contact; When the box is installed in the cavity, the first electrical contact and the second electrical contact are in contact and conduction.

5. A sales method for an intelligent network offline self-selling platform, characterized in that: The following steps are involved: S100. The production supplier places an order from the platform, and the platform generates relevant orders. The platform outputs the minimized total cost linked to the logistics cost based on the geographical location, inventory status and transportation conditions of the goods; S200. The platform distributes goods to different self-selling equipment according to demand based on real-time data; S300. The platform monitors the sales data of each sales device within a certain period of time, predicts the sales data of the SKU within a certain period of time, and adjusts the sales output of the SKU in the sales device; S400. The platform automatically completes the reconciliation within each settlement cycle based on the sales revenue of each SKU; The S500 platform collects product information from all suppliers and outputs capacity planning for production suppliers.

6. A sales method for an intelligent network offline self-selling platform according to claim 5, characterized in that: In step S100, the calculation formula for minimizing the cost is: Ct otal =min(L(x)+αD(y)+βI(z)+γT(w)) Among them, L(x) is the logistics cost function, x is the variable affected by the logistics cost, D(y) is the transportation distance function, y is the distance variable, I(z) is the inventory status function, z is the inventory status variable, T(w) is the transportation time function, w is the time variable, α, β, γ are weight coefficients.

7. A sales method for an intelligent network offline self-selling platform according to claim 6, characterized in that: The calculation formula of the logistics cost function L(x) is: L(x)=C D +(C d ×d(x))+(C w ×w(x))+C m Among them, C b is the basic transportation cost, C d is the unit distance cost, d(x) is the transportation distance from the production site to the warehouse or sales equipment, C w is the unit weight cost, w(x) is the weight of the product or the total weight of the batch, C m For other miscellaneous expenses; The calculation formula of the transport distance function D(y) is: Among them, d i，j (y) is the direct distance from location i to location j, v i，j (y) is the average transportation speed from location i to location j, c i，j (y) is the average energy consumption of transport vehicles, k v and k c is the weight coefficient representing the importance of speed and energy consumption in path selection; The calculation formula of the inventory status function I(z) is: Among them, S k is the current inventory of warehouse k, C k is the maximum capacity of warehouse k, D t (sku i ) is the predicted demand for the i-th SKU product in the future time T, where T is the future time interval; The calculation formula of the transportation time efficiency function T(w) is: Among them, t0 is the order processing time, t d For delivery time.

8. A sales method for an intelligent network offline self-selling platform according to claim 5, characterized in that: In step S200, the calculation formula of the allocation function of the platform to the self-selling device is: Among them, S i is the demand of each self-selling device for the i-th SKU, I j is the warehouse inventory of the i-th self-selling device, R(i, j) is the logistics cost of allocating the i-th SKU to the j-th self-selling device, and λ is the weight coefficient.

9. A sales method for an intelligent network offline self-selling platform according to claim 5, characterized in that: In step S300, the calculation formula for adjusting the sales output function of the SKU in the sales device is: Among them, P t (sku i ) is the sales volume of the i-th SKU at time t, P t is the total sales volume at time t, is an exponential function of time decay.

10. A sales method for an intelligent network offline self-selling platform according to claim 5, characterized in that: In step S500, the calculation formula for outputting the capacity planning to the production supplier is: C production =max(∫0 T D t (p)dt-κC t ) Among them, D t (p) is the product demand forecast at time t, T is the planning time range, C t is the capacity planning, κ is the production cost coefficient, is the cumulative demand for the product within the time range T.

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