A service management system based on cloud platform

Abstract

The present invention relates to the field of cloud platform management technology, and in particular to a service management system based on a cloud platform, comprising: an upload layer, an evaluation layer and an output layer; information of goods sent into a goods storage warehouse for storage is recorded through the upload layer, and the upload layer synchronously collects sales information of the front end of the goods storage warehouse, and updates the information of the goods stored in the goods storage warehouse based on the sales information of the front end of the goods storage warehouse. The present invention analyzes the demand for goods purchase by real-time information inventory of goods stored in the goods storage warehouse and collection of sales information of goods at the front end of the goods storage warehouse, and creates a recommended list of goods purchase based on the analysis results, and analyzes the activity of goods based on the demand for goods purchase recorded in the goods purchase list, and serves the back-end management user of the goods storage warehouse based on the recommended list of goods purchase and the analysis results of the goods activity, so as to make reasonable supplementary purchases of goods, which is beneficial to the balanced development of the goods storage warehouse.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud platform management, and in particular to a service management system based on a cloud platform. Background Art

[0002] A warehouse store is a type of retail format. It has an open space, similar to a warehouse, and is simply decorated. It carries a wide variety of goods, including food, daily necessities, etc., mostly in large packages and bulk packages. It has well-known brands and private brands, and the quality is guaranteed. It implements a low-price strategy through large-scale procurement and low-cost operation, bringing benefits to consumers. The biggest feature of a warehouse store is that it combines warehousing and sales.

[0003] The invention patent with application number 201911209583.8 discloses a three-dimensional warehouse cargo inventory system, which is characterized by including an inventory system, a processor, a management terminal, a central server, a client, a database, a backup system, a distribution management terminal and a manufacturing management terminal; the processor is used to interpret the management terminal instructions and issue instructions to the inventory system and process the data in the inventory system; the management terminal is a computer, which mainly completes the system operation parameters for correction, maintenance and other operations, completes the authority allocation, and the addition, modification and deletion of data forms. At the same time, it has a complete login program, and different staff members are given different authorities, which are managed by the system. The system can be set up by staff and has data backup and recovery functions, which further ensures the security and continuity of data; the processor is connected to the central server network, and the processor uploads data to the central server through the network. The central server updates the data in real time and shares the data with staff with different permissions. The staff can query the data in real time through the client: the user can add, intercept, update, delete and other operations on the data in the database; the inventory system includes a wireless receiving module, a positioning module, a driving module, a scanning module, a matching module, a storage module and a wireless transmitting module; the wireless receiving module is used to receive instructions.

[0004] The application aims to solve the problem that "since the three-dimensional warehouse only allows automatic stackers to enter the aisles for storage and retrieval operations, personnel cannot enter the interior to take inventory of the stored items. Therefore, how to conveniently take inventory of the goods stored in the three-dimensional warehouse has always been a problem that needs to be solved. At present, when taking inventory, the three-dimensional warehouse can only take all the goods out of the warehouse and then put them in the warehouse, which not only consumes a lot of manpower and material resources, but also cannot achieve fast inventory, which directly affects work efficiency."

[0005] However, the existing technology for warehouse management in warehousing and sales scenarios only includes inventory counting and tracking of goods in and out of the warehouse. Compared with large-scale fast-moving consumer goods warehouse management scenarios, the inventory and scheduling of goods are more important management goals. At present, most of the management in this area still relies on manual implementation, and its efficiency, accuracy and comprehensiveness are relatively poor.

[0006] Therefore, a service management system based on cloud platform is proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a service management system based on a cloud platform, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A service management system based on a cloud platform, comprising: an upload layer, an evaluation layer and an output layer;

[0010] The information of the goods sent to the goods storage warehouse is recorded through the upload layer, and the upload layer synchronously collects the front-end sales information of the goods storage warehouse, and updates the information of the goods stored in the goods storage warehouse based on the front-end sales information of the goods storage warehouse. The evaluation layer runs to receive the stored goods information, the front-end sales information and the update records in the upload layer, and evaluates the demand for goods purchase in combination with the stored goods information, the front-end sales information and the update records. The output layer runs to read the goods purchase demand evaluated in the evaluation layer, and generates a recommended list of goods purchases based on the goods purchase demand, and outputs it;

[0011] The evaluation layer includes a receiving module, an evaluation module and a correction module. The receiving module is used to receive the stored goods information, the front-end sales information and the update records thereof in the upload layer. The evaluation module is used to traverse the stored goods information, the front-end sales information and the update records thereof received in the receiving module, and evaluate the goods purchase demand degree based on the stored goods information, the front-end sales information and the update records thereof. The correction module is used to receive the goods purchase demand degree in the evaluation module and correct the goods purchase demand degree.

[0012] The evaluation logic of the goods purchase demand in the evaluation module is expressed as follows:

[0013] ;

[0014] Where: The purchasing demand for goods a; is the control function; The total number of times the receiving module receives and stores goods information, front-end sales information and its update records; The storage quantity of goods in the storage goods information of the receiving module receiving the goods a for the vth time; The sales volume of goods in the front-end sales information of goods a received by the receiving module for the vth time; The time interval between the storage goods information recorded in the inventory counting module being updated for the vth time by the receiving module and the storage goods information recorded in the inventory counting module being updated for the v+1th time;

[0015] in, Express The average control function The value is 1. or , middle >0, = , ≤0, =1;

[0016] middle <0, = , ≥0, =1.

[0017] Furthermore, the upload layer includes an inventory module, a collection module and an update module. The inventory module is used to count and record the goods delivered to the goods storage warehouse when the goods storage warehouse receives the goods. The collection module is used to receive the front-end sales information of the goods storage warehouse and to count the front-end sales information of the goods storage warehouse. The update module is used to receive the front-end sales information of the goods storage warehouse that has been counted in the collection module, and to update the stored goods information recorded in the inventory module based on the front-end sales information of the goods storage warehouse that has been counted.

[0018] Among them, during the operation stage of the inventory module, the QR code and barcode of the goods delivered to the goods storage warehouse are scanned to obtain the goods information, and the quantity of the goods delivered to the goods storage warehouse is cumulatively measured based on the continuous scanning of the goods and the goods information obtained by the scanning. The goods storage front end is the goods sales area. The sales information of the goods storage warehouse front end received by the collection module comes from several groups of cash register systems deployed at the front end of the goods storage warehouse. The sales information of the goods storage warehouse front end includes the goods information and quantity of the goods sold.

[0019] Furthermore, the inventory module always measures the total amount of goods stored in the goods warehouse based on the two sets of inventory results recorded most recently. After collecting the sales information of the front end of the goods warehouse, the collection module performs cumulative measurement of the goods quantity based on the sales information. In the process of cumulative measurement, the corresponding goods of different goods information are differentiated and cumulatively measured based on the goods information, and the feedback is periodically given to the update module.

[0020] The collection module feeds back the statistical results of the front-end sales information of the goods storage warehouse to the update module, that is, when distinguishing the cumulative measurement results, the feedback cycle of the application is subject to:

[0021] ;

[0022] Where: For the feedback cycle; for the initial feedback cycle; The total number of cash register systems deployed in front of the goods storage warehouse; The total amount of goods sales information generated by the nth cash register system; , The frequency of goods sales information generated by the cash register system and the amount of new goods sales when the goods sales information is generated for the i-th time; The current frequency of receiving goods for the cargo storage warehouse; The frequency of current goods sales information generation at the front end of the goods storage warehouse; is the normalization factor;

[0023] The initial feedback cycle Defined by the system user, normalization factor ∈(0,1],the response time of the feedback cycle is less than one second,the acquisition module applies the feedback cycle After the cumulative measurement results of the quantity of goods are fed back to the update module, a new feedback cycle is calculated based on the above formula again. , and is applied to the next round of operation in which the acquisition module feeds back the cumulative measurement results of the quantity of goods to the update module.

[0024] Furthermore, when the update module is running to update the stored goods information recorded in the inventory module, the update operation of the stored goods information recorded in the inventory module is performed based on the latest set of inventory results recorded in the inventory module and the statistical results of all goods storage warehouse front-end sales information fed back to the update module based on the feedback cycle stored in the collection module;

[0025] ;

[0026] Where: is the current stock of type A goods in the goods storage warehouse; The latest storage quantity of type A goods in the goods storage warehouse recorded in the inventory module; The total number of cash register systems deployed in front of the goods storage warehouse; The total amount of goods sales information containing a type of goods generated by the nth cash register system; is the quantity of goods of type a sold in the i-th sales information;

[0027] Among them, the latest storage volume of type a goods in the goods storage warehouse recorded in the inventory module is , The storage quantity of type a goods in the goods storage warehouse recorded last time in the inventory module. is the quantity of type a cargo that was delivered to the cargo storage warehouse the most recently. After obtaining, Iteration , based on the above formula, the storage goods information of each kind of goods in the inventory module is updated.

[0028] Furthermore, the receiving module is operated to continuously receive the stored goods information, the front-end sales information and the update records thereof, and the evaluation module performs the evaluation operation based on the stored goods information, the front-end sales information and the update records thereof accumulated and recorded in the receiving module when evaluating the demand for goods purchase, and the correction module is operated synchronously with the evaluation module, and after the evaluation module completes the evaluation of the demand for goods purchase, the demand for goods purchase is corrected;

[0029] The evaluation module calculates the purchase demand for each type of goods information based on the goods purchase demand evaluation logic. The greater the goods purchase demand, the greater the probability that the corresponding goods are sold out. Conversely, the smaller the probability that the corresponding goods are sold out.

[0030] Furthermore, the correction logic of the demand for goods purchase in the correction module is expressed as:

[0031] ;

[0032] Where: is the revised purchase demand degree of goods a; is the total quantity of goods of the same type as goods a; is the purchase demand of commodity r; is the set of historical purchasing demand of commodity a; The purchasing demand of commodity a evaluated by the sth evaluation module operation; for The maximum and minimum purchasing demand for commodity a;

[0033] in, , indicating The average of a∈ The correction result of the goods purchase demand degree by the correction module is used as the goods purchase demand degree finally evaluated by the evaluation layer and transmitted to the output layer.

[0034] Furthermore, the output layer includes a creation module, an analysis module and an output module. The creation module is used to receive the evaluation results of the purchase demand for each type of goods in the evaluation layer, sort the various types of goods based on the purchase demand of each type of goods, so as to create a recommended list of goods purchases. The analysis module is used to receive the recommended list of goods purchases created in the creation module, analyze the activity of goods based on the recommended list of goods purchases, and the output module is used to receive the recommended list of goods purchases created by the creation module and the analysis results of the activity of goods in the analysis module, and output the recommended list of goods purchases and the analysis results of the activity of goods.

[0035] Among them, the output module is connected to the mobile computer device held by the system end user through a wireless network. The output module uses the mobile computer device as the transmission target, and transmits the recommended list of goods purchases and the results of the goods activity analysis to the mobile computer device. The system end user queries and reads the recommended list of goods purchases and the results of the goods activity analysis on the mobile computer.

[0036] Furthermore, during the operation phase of the analysis module, the received recommended list of goods for purchase is used to generate a dynamic point graph of goods activity;

[0037] Among them, the horizontal axis in the cargo activity dynamic point graph represents the cargo type, the vertical axis represents the cargo purchase demand, and the point size represents the order number of the cargo purchase demand, so that the point representing the latest cargo purchase demand is always larger than the point representing the last cargo purchase demand. The cargo activity dynamic point graph is transmitted to the mobile computer device synchronously with the cargo purchase recommendation list and the cargo activity analysis results.

[0038] Furthermore, the cargo activity analysis logic in the analysis module is expressed as:

[0039] ;

[0040] Where: is the activity performance value of cargo a; It is the dynamic dot plot of cargo activity generated cumulatively in the analysis module; is the purchase demand degree for commodity a in the hth commodity activity dynamic point diagram;

[0041] Among them, the activity performance value of cargo a The smaller it is, the more active the cargo a is; conversely, the activity of the cargo is decreasing.

[0042] Furthermore, the receiving module is interactively connected to the update module via a wireless network, the update module is interactively connected to the acquisition module and the determination module via a wireless network, the receiving module is interactively connected to the evaluation module and the correction module via a wireless network, the correction module is interactively connected to the creation module via a wireless network, and the creation module is interactively connected to the analysis module and the output module via a wireless network.

[0043] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0044] The present invention provides a service management system based on a cloud platform. During operation, the system analyzes the demand for goods purchase by taking inventory of goods stored in a goods warehouse in real time and collecting goods sales information at the front end of the goods warehouse, and creates a recommended list for goods purchase based on the analysis result. At the same time, the system analyzes the activity of goods based on the demand for goods purchase recorded in the goods purchase list. Based on the recommended list for goods purchase and the analysis result of goods activity, the system serves the backend management user of the goods warehouse, performs reasonable goods supplementary purchase, and is conducive to the balanced development of the goods warehouse.

[0045] At the same time, in the stage of evaluating the demand for goods purchase, the specified evaluation logic is combined with a comprehensive analysis of the goods-related data to output accurate digital goods purchase demand, thereby providing necessary and accurate data support for creating a recommended list of goods purchases. At the same time, in the results of goods activity analysis, a dynamic point graph of goods activity is constructed to provide system users with visual data reading conditions, and based on the analysis of goods activity, it is beneficial for the back-end management users of the goods storage warehouse to reasonably iterate on the purchase and sale of goods. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work:

[0047] Figure 1 It is a structural diagram of a service management system based on a cloud platform;

[0048] Figure 2 It is a schematic diagram of the operating logic of the system in the present invention;

[0049] Figure 3 This is an example diagram of the cargo activity dynamic point diagram in the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] The present invention will be further described below in conjunction with the embodiments.

[0052] Embodiment 1:

[0053] A service management system based on a cloud platform in this embodiment, such as Figure 1 As shown, it includes: upload layer, evaluation layer and output layer;

[0054] The information of the goods sent to the goods storage warehouse is recorded through the upload layer, and the upload layer synchronously collects the front-end sales information of the goods storage warehouse, and updates the information of the goods stored in the goods storage warehouse based on the front-end sales information of the goods storage warehouse. The evaluation layer runs to receive the stored goods information, the front-end sales information and the update records in the upload layer, and evaluates the demand for goods purchase in combination with the stored goods information, the front-end sales information and the update records. The output layer runs to read the goods purchase demand evaluated in the evaluation layer, and generates a recommended list of goods purchases based on the goods purchase demand, and outputs it;

[0055] The upload layer includes an inventory module, a collection module and an update module. The inventory module is used to count and record the goods delivered to the goods storage warehouse when the goods storage warehouse receives the goods. The collection module is used to receive the front-end sales information of the goods storage warehouse and count the front-end sales information of the goods storage warehouse. The update module is used to receive the front-end sales information of the goods storage warehouse that has been counted in the collection module, and update the storage goods information recorded in the inventory module based on the front-end sales information of the goods storage warehouse that has been counted.

[0056] When the update module is running to update the stored goods information recorded in the inventory module, the update operation of the stored goods information recorded in the inventory module is performed based on the latest set of inventory results recorded in the inventory module and the statistical results of all the front-end sales information of the goods storage warehouse fed back to the update module based on the feedback cycle stored in the collection module;

[0057] ;

[0058] Where: is the current stock of type A goods in the goods storage warehouse; The latest storage quantity of type A goods in the goods storage warehouse recorded in the inventory module; The total number of cash register systems deployed in front of the goods storage warehouse; The total amount of goods sales information containing a type of goods generated by the nth cash register system; is the quantity of goods of type a sold in the i-th sales information;

[0059] Among them, the latest storage volume of type a goods in the goods storage warehouse recorded in the inventory module is , The storage quantity of type a goods in the goods storage warehouse recorded last time in the inventory module. is the quantity of type a cargo that was delivered to the cargo storage warehouse the most recently. After obtaining, Iteration , based on the above formula, update the storage goods information of each kind of goods in the inventory module;

[0060] Among them, during the operation stage of the inventory module, the QR code and barcode of the goods delivered to the goods storage warehouse are scanned to obtain the goods information, and the quantity of the goods delivered to the goods storage warehouse is cumulatively measured based on the continuous scanning of the goods and the goods information obtained by scanning. The goods storage front end is the goods sales area. The goods storage front end sales information received by the collection module comes from several groups of cash register systems deployed at the front end of the goods storage warehouse. The goods storage front end sales information includes the goods information and quantity of the goods sold;

[0061] The evaluation layer includes a receiving module, an evaluation module and a correction module. The receiving module is used to receive the stored goods information, the front-end sales information and the update records thereof in the upload layer. The evaluation module is used to traverse the stored goods information, the front-end sales information and the update records thereof received in the receiving module, and evaluate the goods purchase demand degree based on the stored goods information, the front-end sales information and the update records thereof. The correction module is used to receive the goods purchase demand degree in the evaluation module and correct the goods purchase demand degree.

[0062] The evaluation logic of goods procurement demand in the evaluation module is expressed as:

[0063]

[0064] Where: The purchasing demand for goods a; is the control function; The total number of times the receiving module receives and stores goods information, front-end sales information and its update records; The storage quantity of goods in the storage goods information of the receiving module receiving the goods a for the vth time; The sales volume of goods in the front-end sales information of goods a received by the receiving module for the vth time; The time interval between the storage goods information recorded in the inventory counting module being updated for the vth time by the receiving module and the storage goods information recorded in the inventory counting module being updated for the v+1th time;

[0065] in, Express The average control function The value is 1. or , middle >0, = , ≤0, =1;

[0066] middle <0, = , ≥0, =1;

[0067] The correction logic of the demand for goods purchase in the correction module is expressed as:

[0068] ;

[0069] Where: is the revised purchase demand degree of goods a; is the total quantity of goods of the same type as goods a; is the purchase demand of commodity r; is the set of historical purchasing demand of commodity a; The purchasing demand of commodity a evaluated by the sth evaluation module operation; for The maximum and minimum purchasing demand for commodity a;

[0070] in, , indicating The average of a∈ , the correction result of the correction module on the demand for goods purchase is used as the final evaluation of the demand for goods purchase by the evaluation layer and transmitted to the output layer;

[0071] The output layer includes a creation module, an analysis module and an output module. The creation module is used to receive the evaluation results of the purchase demand for various types of goods in the evaluation layer, sort the various types of goods based on the purchase demand of various types of goods, and create a recommended list of goods to be purchased. The analysis module is used to receive the recommended list of goods to be purchased created in the creation module, and analyze the activity of goods based on the recommended list of goods to be purchased. The output module is used to receive the recommended list of goods to be purchased created by the creation module and the analysis results of the activity of goods in the analysis module, and output the recommended list of goods to be purchased and the analysis results of the activity of goods.

[0072] The output module is connected to a mobile computer device held by a system end user through a wireless network. The output module uses the mobile computer device as a transmission target and transmits the recommended goods purchase list and the goods activity analysis results to the mobile computer device. The system end user queries and reads the recommended goods purchase list and the goods activity analysis results on the mobile computer.

[0073] The receiving module is interactively connected to the updating module through a wireless network, the updating module is interactively connected to the collecting module and the judging module through a wireless network, the receiving module is interactively connected to the evaluating module and the correcting module through a wireless network, the correcting module is interactively connected to the creating module through a wireless network, and the creating module is interactively connected to the analyzing module and the output module through a wireless network.

[0074] In this embodiment, when the inventory module is running and the goods storage warehouse receives the goods, the goods delivered to the goods storage warehouse are counted and recorded, the collection module synchronously receives the front-end sales information of the goods storage warehouse, and counts the front-end sales information of the goods storage warehouse, the update module is post-operated to receive the front-end sales information of the goods storage warehouse that has been counted in the collection module, and the stored goods information recorded in the inventory module is updated based on the front-end sales information of the goods storage warehouse that has been counted, the receiving module further receives the stored goods information, the front-end sales information and the update records thereof in the upload layer, and then the evaluation module traverses the stored goods information, the front-end sales information and the update records thereof received in the receiving module, and evaluates the goods purchase demand based on the stored goods information, the front-end sales information and the update records thereof, and the correction module further receives the goods purchase demand in the evaluation module and corrects the goods purchase demand;

[0075] The creation module runs to receive the evaluation results of the purchase demand for each type of goods in the evaluation layer, sorts each type of goods based on the purchase demand of each type of goods, and creates a recommended list of goods to be purchased; the analysis module receives the recommended list of goods to be purchased created in the creation module, analyzes the activity of goods based on the recommended list of goods to be purchased, and finally, the output module is used to receive the recommended list of goods to be purchased created by the creation module and the analysis results of the activity of goods in the analysis module, and outputs the recommended list of goods to be purchased and the analysis results of the activity of goods;

[0076] Through the operation of the system in the above embodiment, an effective cargo inventory service is provided for the cargo storage warehouse. Compared with the prior art, it can make more intelligent recommendations for the purchase of cargo for the cargo storage warehouse, replace manual management of the cargo storage warehouse to a large extent, and reduce management costs; at the same time, it can also analyze the activity cycle of each cargo to a certain extent, thereby assisting system end users to iterate the cargo stored in the cargo storage warehouse, so as to enhance the cargo storage warehouse's more stable sales capabilities.

[0077] See also Figure 2 The figure further illustrates the operation logic of the system in this embodiment, and helps the system end user to master and apply the system more quickly;

[0078] See also Figure 3 As shown, the left side of the figure shows the dynamic point diagram of cargo activity continuously generated in the analysis module from top to bottom. Based on the arrow indication, cargo 1 is summarized in one figure as an example to further provide data support for the calculation of cargo activity performance value. It should be noted that Figure 3 As an example of a cargo activity dynamic point diagram, cargo 1 can be regarded as cargo a, which is the calculation target of the example formula of the cargo activity analysis logic in the analysis module.

[0079] Embodiment 2:

[0080] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The following is a further detailed description of a service management system based on a cloud platform in Example 1:

[0081] The inventory module always measures the total amount of goods stored in the warehouse based on the two sets of latest inventory results. After collecting the sales information from the warehouse, the collection module performs cumulative measurement of the goods quantity based on the sales information. In the process of cumulative measurement, the corresponding goods with different goods information are differentiated and cumulatively measured based on the goods information, and the information is periodically fed back to the update module.

[0082] Through the above settings, the interaction logic between the inventory module and the update module in the upload layer is further limited.

[0083] The collection module feeds back the statistical results of the front-end sales information of the goods storage warehouse to the update module, that is, when distinguishing the cumulative measurement results, the feedback cycle of the application follows:

[0084] ;

[0085] Where: For the feedback cycle; for the initial feedback cycle; The total number of cash register systems deployed in front of the goods storage warehouse; The total amount of goods sales information generated by the nth cash register system; , The frequency of goods sales information generated by the cash register system and the amount of new goods sales when the goods sales information is generated for the i-th time; The current frequency of receiving goods for the cargo storage warehouse; The frequency of current goods sales information generation at the front end of the goods storage warehouse; is the normalization factor;

[0086] The initial feedback cycle Defined by the system user, normalization factor ∈(0,1],the response time of the feedback cycle is less than one second,the collection module applies the feedback cycle After the cumulative measurement results of the quantity of goods are fed back to the update module, a new feedback cycle is calculated based on the above formula again. , and is applied to the next round of operation in which the acquisition module feeds back the cumulative measurement results of the quantity of goods to the update module.

[0087] Through the limitation of the above logic formula, the feedback cycle from the collection module to the update module is set to ensure that the feedback module stably receives the information collected by the collection module and updates the stored goods information in the determination module.

[0088] Embodiment 3:

[0089] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The following is a further detailed description of a service management system based on a cloud platform in Example 1:

[0090] The receiving module runs to continuously receive the stored goods information, the front-end sales information and the update records thereof. When evaluating the goods purchase demand, the evaluation module performs the evaluation operation based on the stored goods information, the front-end sales information and the update records accumulated in the receiving module. The correction module runs synchronously with the evaluation module, and corrects the goods purchase demand after the evaluation module completes the evaluation of the goods purchase demand.

[0091] The evaluation module calculates the purchase demand for each type of goods information based on the goods purchase demand evaluation logic. The greater the goods purchase demand, the greater the probability that the corresponding goods are sold out. Conversely, the smaller the probability that the corresponding goods are sold out.

[0092] Through the above settings, further operation data support is provided for the evaluation layer of the system in Example 1, ensuring that the system evaluation layer stably operates and outputs the evaluated goods procurement demand.

[0093] like Figure 1As shown, during the operation phase of the analysis module, the received recommended list of goods for purchase is applied to generate a dynamic point diagram of goods activity;

[0094] Among them, the horizontal axis in the cargo activity dynamic point graph represents the cargo type, the vertical axis represents the cargo purchase demand, and the point size represents the order number of the cargo purchase demand, so that the point representing the latest cargo purchase demand is always larger than the point representing the last cargo purchase demand. The cargo activity dynamic point graph is transmitted to the mobile computer device synchronously with the cargo purchase recommendation list and the cargo activity analysis results.

[0095] Through the above settings, another function of the analysis module is further defined, and the specific form of the cargo activity dynamic point diagram generated by the analysis module is defined. The specific cargo activity dynamic point diagram can be referred to Figure 3 Example cargo activity dynamics dot plots given in .

[0096] like Figure 1 As shown, the cargo activity analysis logic in the analysis module is expressed as:

[0097] ;

[0098] Where: is the activity performance value of cargo a; It is the dynamic dot plot of cargo activity generated cumulatively in the analysis module; is the purchase demand degree for commodity a in the hth commodity activity dynamic point diagram;

[0099] Among them, the activity performance value of cargo a The smaller it is, the more active the cargo a is; conversely, the activity of the cargo is decreasing.

[0100] Through the limitation of the above logical formula, further combined with the cargo activity dynamic point diagram, the activity of various types of cargo stored and sold in the cargo warehouse is analyzed, so as to provide a reference for the cargo warehouse backend management user data, so as to realize the effectiveness of cargo procurement and sales, and ensure the stable production capacity of the cargo warehouse.

[0101] In summary, in the above embodiment, during operation, the system analyzes the demand for goods purchase through real-time information inventory of goods stored in the goods warehouse and collection of goods sales information at the front end of the goods warehouse, creates a recommended list for goods purchase based on the analysis results, and analyzes the activity of goods based on the demand for goods purchase recorded in the goods purchase list. Based on the recommended list for goods purchase and the analysis results of goods activity, it serves the backend management users of the goods warehouse to make reasonable supplementary purchases of goods, which is beneficial to the balanced development of the goods warehouse. At the same time, in the stage of evaluating the demand for goods purchase, a comprehensive analysis is performed in combination with the specified evaluation logic and the goods-related data to output accurate digital goods purchase demand, thereby providing necessary and accurate data support for creating the recommended list for goods purchase. At the same time, in the analysis results of goods activity, a visual data reading condition is provided to system users by constructing a dynamic dot graph of goods activity, and then based on the analysis of goods activity, it is beneficial for the backend management users of the goods warehouse to make reasonable iterations of the purchase and sale of goods.

[0102] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A service management system based on a cloud platform, characterized in that: include: Upload layer, evaluation layer and output layer; The information of the goods sent to the goods storage warehouse is recorded through the upload layer, and the upload layer synchronously collects the front-end sales information of the goods storage warehouse, and updates the information of the goods stored in the goods storage warehouse based on the front-end sales information of the goods storage warehouse. The evaluation layer runs to receive the stored goods information, the front-end sales information and the update records in the upload layer, and evaluates the demand for goods purchase in combination with the stored goods information, the front-end sales information and the update records. The output layer runs to read the goods purchase demand evaluated in the evaluation layer, and generates a recommended list of goods purchases based on the goods purchase demand, and outputs it; The upload layer includes an inventory module, a collection module and an update module. The inventory module is used to count and record the goods delivered to the goods storage warehouse when the goods storage warehouse receives the goods. The collection module is used to receive the front-end sales information of the goods storage warehouse and to count the front-end sales information of the goods storage warehouse. The update module is used to receive the front-end sales information of the goods storage warehouse that has been counted in the collection module, and to update the stored goods information recorded in the inventory module based on the front-end sales information of the goods storage warehouse that has been counted. Among them, during the operation stage of the inventory module, the QR code and barcode of the goods delivered to the goods storage warehouse are scanned to obtain the goods information, and the quantity of the goods delivered to the goods storage warehouse is cumulatively measured based on the continuous scanning of the goods and the goods information obtained by scanning. The front end of the goods storage warehouse is the goods sales area. The front end sales information of the goods storage warehouse received by the collection module comes from several groups of cash register systems deployed at the front end of the goods storage warehouse. The front end sales information of the goods storage warehouse includes the goods information and quantity of the goods sold; The evaluation layer includes a receiving module, an evaluation module and a correction module. The receiving module is used to receive the stored goods information, the front-end sales information and the update records thereof in the upload layer. The evaluation module is used to traverse the stored goods information, the front-end sales information and the update records thereof received in the receiving module, and evaluate the goods purchase demand degree based on the stored goods information, the front-end sales information and the update records thereof. The correction module is used to receive the goods purchase demand degree in the evaluation module and correct the goods purchase demand degree. The evaluation logic of the goods purchase demand in the evaluation module is expressed as follows: ； Where: The purchasing demand for goods a; is the control function; The total number of times the receiving module receives and stores goods information, front-end sales information and its update records; The storage quantity of goods in the storage goods information of the receiving module receiving the goods a for the vth time; The sales volume of goods in the front-end sales information of goods a received by the receiving module for the vth time; The time interval between the storage goods information recorded in the inventory counting module being updated for the vth time by the receiving module and the storage goods information recorded in the inventory counting module being updated for the v+1th time; in, Express The average control function The value is 1. or , middle >0, = , ≤0, =1; middle <0, = , ≥0, =1; The inventory module always measures the total amount of goods stored in the goods storage warehouse based on the two sets of inventory results recorded the most recently. After the collection module collects the sales information of the front end of the goods storage warehouse, it performs cumulative measurement of the goods quantity based on the sales information. In the process of cumulative measurement, the corresponding goods of different goods information are differentiated and cumulatively measured based on the goods information, and the information is periodically fed back to the update module. The collection module feeds back the statistical results of the front-end sales information of the goods storage warehouse to the update module, that is, when distinguishing the cumulative measurement results, the feedback cycle of the application is subject to: ； Where: For the feedback cycle; for the initial feedback cycle; The total number of cash register systems deployed in front of the goods storage warehouse; The total amount of goods sales information generated by the nth cash register system; , The frequency of goods sales information generated by the cash register system and the amount of new goods sales when the goods sales information is generated for the i-th time; The current frequency of receiving goods for the cargo storage warehouse; The frequency of current goods sales information generation at the front end of the goods storage warehouse; is the normalization factor; The initial feedback cycle Defined by the system user, normalization factor ∈(0,1],the response time of the feedback cycle is less than one second,the acquisition module applies the feedback cycle After the cumulative measurement results of the quantity of goods are fed back to the update module, a new feedback cycle is calculated based on the above formula again. , and is applied to the operation of the next round of feedback of the cumulative measurement results of the quantity of goods from the collection module to the update module; The correction logic of the demand for goods purchase in the correction module is expressed as: ； Where: is the revised purchase demand degree of goods a; is the total quantity of goods of the same type as goods a; is the purchasing demand degree of commodity r; is the set of historical purchasing demand of commodity a; The purchasing demand of commodity a evaluated by the sth evaluation module operation; for The maximum and minimum purchasing demand for commodity a; in, , indicating The average of a∈ The correction result of the goods purchase demand degree by the correction module is used as the goods purchase demand degree finally evaluated by the evaluation layer and transmitted to the output layer.

2. A cloud platform-based service management system according to claim 1, characterized in that: When the update module is running to update the stored goods information recorded in the inventory module, the update operation of the stored goods information recorded in the inventory module is performed based on the latest set of inventory results recorded in the inventory module and the statistical results of all the front-end sales information of the goods storage warehouse fed back to the update module based on the feedback cycle stored in the collection module; ； Where: is the current stock of type A goods in the goods storage warehouse; The latest storage quantity of type A goods in the goods storage warehouse recorded in the inventory module; The total number of cash register systems deployed in front of the goods storage warehouse; The total amount of goods sales information containing a type of goods generated by the nth cash register system; is the quantity of goods of type a sold in the i-th sales information; Among them, the latest storage volume of type a goods in the goods storage warehouse recorded in the inventory module is , The storage quantity of type a goods in the goods storage warehouse recorded last time in the inventory module. is the quantity of type a cargo that was delivered to the cargo storage warehouse the most recently. After obtaining, Iteration , based on the above formula, the storage goods information of each kind of goods in the inventory module is updated.

3. A cloud platform-based service management system according to claim 1, characterized in that: The receiving module is operated to continuously receive the stored goods information, the front-end sales information and the update records thereof. When evaluating the goods purchase demand, the evaluation module performs the evaluation operation based on the stored goods information, the front-end sales information and the update records thereof accumulated and recorded in the receiving module. The correction module is operated synchronously with the evaluation module. After the evaluation module completes the evaluation of the goods purchase demand, the goods purchase demand is corrected. The evaluation module calculates the purchase demand for each type of goods information based on the goods purchase demand evaluation logic. The greater the goods purchase demand, the greater the probability that the corresponding goods are sold out. Conversely, the smaller the probability that the corresponding goods are sold out.

4. A cloud platform-based service management system according to claim 1, characterized in that: The output layer includes a creation module, an analysis module and an output module. The creation module is used to receive the evaluation results of the purchase demand for each type of goods in the evaluation layer, sort the various types of goods based on the purchase demand of each type of goods, so as to create a recommended list of goods purchases. The analysis module is used to receive the recommended list of goods purchases created in the creation module, analyze the activity of goods based on the recommended list of goods purchases, and the output module is used to receive the recommended list of goods purchases created by the creation module and the analysis results of the activity of goods in the analysis module, and output the recommended list of goods purchases and the analysis results of the activity of goods. Among them, the output module is connected to the mobile computer device held by the system end user through a wireless network. The output module uses the mobile computer device as the transmission target, and transmits the recommended list of goods purchases and the results of the goods activity analysis to the mobile computer device. The system end user queries and reads the recommended list of goods purchases and the results of the goods activity analysis on the mobile computer.

5. A cloud platform-based service management system according to claim 4, characterized in that: During the operation phase of the analysis module, the received recommended list of goods to be purchased is used to generate a dynamic point graph of goods activity; Among them, the horizontal axis in the cargo activity dynamic point graph represents the cargo type, the vertical axis represents the cargo purchase demand, and the point size represents the order number of the cargo purchase demand, so that the point representing the latest cargo purchase demand is always larger than the point representing the last cargo purchase demand. The cargo activity dynamic point graph is transmitted to the mobile computer device synchronously with the cargo purchase recommendation list and the cargo activity analysis results.

6. A cloud platform-based service management system according to claim 5, characterized in that: The cargo activity analysis logic in the analysis module is expressed as: ； Where: is the activity performance value of cargo a; It is the dynamic dot plot of cargo activity generated cumulatively in the analysis module; is the purchase demand degree for commodity a in the hth commodity activity dynamic point diagram; Among them, the activity performance value of cargo a The smaller it is, the more active the cargo a is; conversely, the activity of the cargo is decreasing.

7. A cloud platform-based service management system according to claim 1, characterized in that: The receiving module is interactively connected to the updating module via a wireless network, the updating module is interactively connected to the collecting module and the determining module via a wireless network, the receiving module is interactively connected to the evaluating module and the correcting module via a wireless network, the correcting module is interactively connected to the creating module via a wireless network, and the creating module is interactively connected to the analyzing module and the output module via a wireless network.

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