A real-time assessment method, device and medium for the performance of employees in non-standard retail

Abstract

The present application discloses a method, device, and medium for real-time assessment of employee performance in non-standard retail, belonging to the technical field of big data. The method includes: obtaining a layout map of goods in a non-standard retail store and an employee work schedule; constructing a regional retail map based on the layout map of goods, and integrating the employee work schedule with the regional retail map to determine an employee division of labor table; obtaining settlement bills in real time, and determining the sales time, at least one sold good, and the consumer based on the settlement bills; matching the employee division of labor table based on the sales time and the sold good to determine the performance beneficiary; retrieving the historical consumption data of the consumer from a preset consumption database; analyzing the sold good based on the consumption database and the historical consumption data to determine the employee performance of the sold good; adding the employee performance to a preset performance statistics table to determine the real-time performance of the performance beneficiary. Through the above method, the present application can record the real-time performance of employees.

Description

Technical Field

[0001] This application relates to the technical field of big data, and in particular, to a method, device, and medium for real-time assessment of employee performance in non-standard retail. Background Art

[0002] Non-standard retail, that is, non-standardized retail, is a retail model opposite to traditional standardized retail. It emphasizes personalization and differentiation to meet the growing personalized needs of consumers. Non-standard retail products usually have more styles, models, and color options, and the product keyword attributes are also more abundant.

[0003] The characteristics and advantages of this retail model are mainly reflected in the following aspects:

[0004] Meeting personalized needs: With the deepening of globalization and the diversification of consumer needs, personalized products are becoming more and more popular. Non-standard retail can meet the personalized needs of consumers and enhance the attractiveness of products. Obvious competitive advantage: Since the market competition for non-standard products is relatively small, non-standard retail enterprises can more easily establish a competitive advantage, shape the brand image, and cultivate consumer loyalty.

[0005] However, due to the differences in non-standard retail products, the purchase intentions and consumption habits of customers are not the same, resulting in the purchase of goods tending to be single. Moreover, for employees in the non-standard retail industry, due to the differences and complexity of products, it is difficult to assess the performance of employees.

[0006] At the same time, therefore, how to record the real-time performance of employees has become an urgent problem to be solved. Summary of the Invention

[0007] The embodiments of this application provide a method, device, and medium for real-time assessment of employee performance in non-standard retail to solve the following technical problem: how to record the real-time performance of employees.

[0008] In a first aspect, an embodiment of the present application provides a method for real-time assessment of employee performance in non-standard retail. The method is characterized in that it includes: obtaining a product layout map and an employee work schedule of a non-standard retail store; wherein, the product layout map includes product locations and product attributes, and the employee work schedule includes employee names, scheduled working times, and responsible areas; constructing a regional retail map based on the product layout map, and integrating the employee work schedule with the regional retail map to determine an employee division of labor table; obtaining settlement bills in real time, and determining the sales time, at least one sold product, and the consumer based on the settlement bills; wherein, the sold product includes the quantity of the product, product attributes, product price, and product cost; matching the employee division of labor table based on the sales time and the sold product to determine the performance beneficiary; retrieving the historical consumption data of the consumer from a preset consumption database; analyzing the sold product based on the consumption database and the historical consumption data to determine the employee performance of the sold product; adding the employee performance to a preset performance statistics table based on the employee division of labor table to determine the real-time performance of the performance beneficiary.

[0009] In an implementation manner of the present application, constructing a regional retail map based on the product layout map and integrating the employee work schedule with the regional retail map to determine the employee division of labor table specifically includes: constructing a preliminary regional retail map based on the product locations; marking the product attributes on the preliminary regional retail map according to the product locations to construct the regional retail map; generating a first number of first employee division of labor tables based on the scheduled working times with the employee names as the reference; wherein, the first number is the same as the number of different scheduled working times; matching the regional retail map based on the responsible areas, and substituting the first number of preliminary employee division of labor tables based on the association relationship between the responsible areas and the scheduled working times to generate a first number of second employee division of labor tables; integrating the first number of second employee division of labor tables to determine the employee division of labor table.

[0010] In an implementation manner of the present application, matching the employee division of labor table based on the sales time and the sold product to determine the performance beneficiary specifically includes: matching the employee division of labor table based on the sales time to determine a first set of performance beneficiaries; matching the employee division of labor table based on the product attributes to determine a second set of performance beneficiaries; comparing the first set of performance beneficiaries with the second set of performance beneficiaries to determine the performance beneficiary.

[0011] In an implementation manner of the present application, analyzing the sold product based on the consumption database and the historical consumption data to determine the employee performance of the sold product specifically includes: comparing the historical consumption data with preset consumption conditions; when the historical consumption data meets the consumption conditions, determining the employee performance of the sold product based on the historical consumption database and the historical consumption data; when the historical consumption data does not meet the consumption conditions, determining the employee performance of the sold product based on the product price and the product cost.

[0012] In an implementation manner of the present application, when the historical consumption data meets the consumption conditions, the employee performance of the sold goods is determined based on the historical consumption database and the historical consumption data, specifically including: determining the consumption habits of the consumers based on the historical consumption data; determining the sales ratio of the sold goods based on the historical consumption database; comparing the sales ratio with the consumption habits to determine the performance ratio of the sold goods; processing the commodity price and the commodity cost based on the performance ratio to determine the employee performance of the sold goods.

[0013] In an implementation manner of the present application, the employee performance of the sold goods is determined by processing the commodity price, the commodity quantity and the commodity cost based on the performance ratio, specifically including: determining the unit profit of the sold goods based on the commodity price and the commodity cost; determining the sales profit of the sold goods based on the sales profit and the commodity quantity; determining the employee performance of the sold goods based on the sales profit and the performance ratio.

[0014] In an implementation manner of the present application, when the historical consumption data does not meet the consumption conditions, the sold goods are processed based on the consumption database to determine the employee performance of the sold goods, specifically including: retrieving the commodity data with the same commodity attributes in the consumption database based on the sold goods; determining the performance ratio of the commodity based on the ratio between the commodity data; processing the commodity price, the commodity quantity and the commodity cost based on the performance ratio to determine the employee performance of the sold goods.

[0015] In an implementation manner of the present application, the method further includes: uploading the settlement bill to the consumption database; classifying and counting the sales quantity of the sold goods based on the commodity attributes.

[0016] In a second aspect, an embodiment of the present application further provides a real-time assessment device for the employee performance of non-standard retail, characterized in that the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to: obtain the commodity layout map and the employee schedule of the non-standard retail store; wherein, the commodity layout map includes the commodity location and the commodity attributes, and the employee schedule includes the employee name, the schedule time and the responsible area; construct a regional retail map based on the commodity layout map, and integrate the employee schedule with the regional retail map to determine the employee division of labor table; obtain the settlement bill in real time, and determine the sales time, at least one sold commodity and the consumer based on the settlement bill; wherein, the sold commodity includes the commodity quantity, the commodity attributes, the commodity price and the commodity cost; match the sales time and the sold commodity with the employee division of labor table to determine the performance beneficiary; retrieve the historical consumption data of the consumer based on the preset consumption database; analyze the sold commodity based on the consumption database and the historical consumption data to determine the employee performance of the sold goods; add the employee performance to the preset performance statistical table based on the employee division of labor table to determine the real-time performance of the performance beneficiary.

[0017] In a third aspect, an embodiment of the present application further provides a non-volatile computer storage medium for real-time assessment of employee performance in non-standard retail, storing computer-executable instructions, characterized in that the computer-executable instructions are set to: obtain a product layout map and an employee work schedule of a non-standard retail store; wherein, the product layout map includes product positions and product attributes, and the employee work schedule includes employee names, work schedule times, and responsible areas; construct a regional retail map based on the product layout map, and integrate the employee work schedule with the regional retail map to determine an employee division of labor table; obtain settlement bills in real time, and determine the sales time, at least one sold product, and consumer based on the settlement bills; wherein, the sold product includes the quantity of the product, product attributes, product price, and product cost; match the employee division of labor table based on the sales time and the sold product to determine the performance beneficiary; retrieve the historical consumption data of the consumer based on a preset consumption database; analyze the sold product based on the consumption database and the historical consumption data to determine the employee performance of the sold product; add the employee performance to a preset performance statistics table based on the employee division of labor table to determine the real-time performance of the performance beneficiary.

[0018] The method, device, and medium for real-time assessment of employee performance in non-standard retail provided by the embodiments of the present application obtain key data such as product layout maps and employee work schedules, and perform automated integration and processing to obtain an employee division of labor table, reducing the time and manpower required for traditional manual operations, and improving the efficiency and accuracy of data processing. By obtaining settlement bills in real time and analyzing them, the sales situation can be immediately understood. By matching the sales time and the sold product with the employee division of labor table, the performance beneficiary can be accurately determined, avoiding the ambiguity and disputes that may occur in traditional performance management. Through the historical consumption data of consumers, the store can, to a certain extent, determine the sales ability of employees and then determine the performance of employees. By real-time statistics of employee performance, personalized incentive measures can be provided for employees, thereby stimulating the work enthusiasm of employees. In summary, the real-time performance of employees can be recorded. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0020] Figure 1 is a flowchart of a method for real-time assessment of employee performance in non-standard retail provided by an embodiment of the present application;

[0021] Figure 2 is a schematic internal structure diagram of a device for real-time assessment of employee performance in non-standard retail provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the following will clearly and completely describe the technical solutions of this application in combination with specific embodiments of this application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0023] The embodiments of this application provide a method, device, and medium for real-time assessment of employee performance in non-standard retail to solve the following technical problem: recording the real-time performance of employees.

[0024] The following will elaborate on the technical solutions proposed in the embodiments of this application through the drawings.

[0025] Figure 1 This is a flowchart of real-time assessment of employee performance in non-standard retail provided for the embodiments of this application. As Figure 1 shown, the method for real-time assessment of employee performance in non-standard retail provided by the embodiments of this application specifically includes the following steps:

[0026] Step 101: Obtain the commodity layout map and employee work schedule of the non-standard retail store.

[0027] A non-standard retail store is a type of retail store that is opposite to traditional standardized retail and can meet the personalized needs of consumers to a certain extent.

[0028] In a specific embodiment, the non-standard retail store can be a large snack store, a chain stir-fry product store, etc.

[0029] In the embodiments of this application, the commodity layout map is a picture or drawing recording the commodity layout in the non-standard retail store.

[0030] In a specific example, it is possible to go to the store, use a mobile phone or a professional camera to take pictures of the commodity layout in the store, and then draw the commodity layout map of the store through drawing software (such as CAD) based on the taken photos, so as to clearly display the location and attributes of the commodities. The commodity layout map will include key information such as the location, name, and price of each commodity.

[0031] The employee work schedule is a table recording employee work schedule information.

[0032] In a specific example, the employee work schedule can be an Excel table containing information such as employee names, work schedule dates, working hours, and responsible areas.

[0033] Step 102: construct a regional retail map based on the merchandise layout map, and integrate the employee shift schedule with the regional retail map to determine the employee division of labor table.

[0034] First, a preliminary regional retail map is constructed based on the location of the goods. The locations of the goods in the product layout map are identified and analyzed. By analyzing the layout of the goods in the store, different sales areas can be divided, such as melon seeds area, red dates area, yogurt area, etc.

[0035] Furthermore, the product attributes are marked on the preliminary regional retail map according to the product location to construct the regional retail map. Product attributes may include information such as product type, price, brand, etc. Accurately marking these attribute information on the corresponding product location will help to more comprehensively reflect the retail situation of the store and provide strong support for subsequent employee management and performance analysis.

[0036] Furthermore, based on the employee name, a first number of first employee work division tables are generated based on the shift schedule. The first number is the same as the number of different shift schedules. For example, if there are three different shift schedules (such as morning shift, mid-shift, and evening shift) in the employee schedule, three first employee work division tables will be generated. For another example, a retail supermarket cannot guarantee that every employee can rest in the same time period (retail supermarkets should, to a certain extent, ensure that they will not stop operating throughout the year unless there are emergencies), so a more specific working time period is needed to prepare an employee work division table. Each table is based on the employee name and lists the employees corresponding to the shift schedule.

[0037] Furthermore, the regional retail map is matched based on the responsible area, and the first number of preliminary employee work assignment tables are brought into the first number of preliminary employee work assignment tables based on the association between the responsible area and the shift schedule to generate the first number of second employee work assignment tables. Employees are matched with their responsible areas in the store. By matching the employees' responsible areas with the regional retail map and substituting this correspondence into the preliminary employee work assignment table, a more specific second employee work assignment table can be generated. These tables not only list the employees' names and shift schedules, but also specify which area they are responsible for during which time period.

[0038] Furthermore, the first number of second employee work division tables are integrated to determine the employee work division table. All second employee work division tables are summarized and integrated to form a complete employee work division table. This table will clearly show the areas that each employee is responsible for in different time periods, providing strong data support for subsequent employee performance analysis and management decisions.

[0039] Step 103: Obtain the settlement bill in real time, and determine the sales time, at least one sales commodity and the consumer based on the settlement bill. The sales commodity includes the quantity, attributes, price and cost of the commodity.

[0040] When consumers purchase retail goods and check out at the counter, a settlement bill is generated. At this time, the sold goods can be determined based on the settlement bill, that is, the sold merchandise. In the settlement bill, it includes merchandise attributes, quantity of merchandise, and price of merchandise.

[0041] In a specific example, the settlement bill can be as follows:

[0042] Caramel melon seeds, Grade A (merchandise attribute), 0.8 kg (quantity of merchandise), 15 yuan per kilogram (unit price of merchandise), 12 yuan (price of merchandise).

[0043] The merchandise cost is associated with the merchandise attribute, and this merchandise cost is not shown to customers. For example, the merchandise cost of Caramel melon seeds, Grade A is 10 yuan per kilogram.

[0044] Step 104: Match the employee division of labor form based on the sales time and the sold merchandise to determine the performance beneficiary.

[0045] First, match the employee division of labor form based on the sales time to determine the first set of performance beneficiaries. Compare the sales time in the settlement bill with the scheduled working time in the employee division of labor form. Through the comparison, the employees during the specific sales time can be determined, that is, the first set of performance beneficiaries.

[0046] Furthermore, match the employee division of labor form based on the merchandise attributes to determine the second set of performance beneficiaries. Compare the sold merchandise attributes in the settlement bill with the merchandise attributes in the employee division of labor form. Through the comparison, we can identify which employees are responsible for selling merchandise with specific attributes.

[0047] Furthermore, compare the first set of performance beneficiaries and the second set of performance beneficiaries to determine the performance beneficiary. By comparing these two sets, we can find the employees who are both during the specific sales time and responsible for selling merchandise with specific attributes. Then this employee is the one who most directly contributes to the sales performance and should therefore be regarded as the performance beneficiary.

[0048] Step 105: Retrieve the historical consumption data of the consumer based on a preset consumption database.

[0049] The consumption database is a database that records the historical consumption data of all consumers.

[0050] When retrieving the historical consumption records of the consumer, the consumer information provided in the settlement bill, such as name, membership number, or contact information, etc., will be used as the retrieval condition to search in the consumption database. Through the database query system, the historical consumption records related to the consumer can be quickly located.

[0051] When retrieving the historical consumption data, we can selectively extract specific consumption information according to the needs of the analysis.

[0052] In a specific example, the purchase history of consumers can be extracted, including the purchase time, types of purchased goods, quantity of purchased goods, purchase amount, etc.

[0053] Step 106: Analyze the sold goods with reference to historical consumption data to determine the performance of the employees who sold the goods.

[0054] First, compare the historical consumption data with preset consumption conditions. These consumption conditions may include the consumption amount, consumption frequency, and whether the types of purchased goods meet the preset requirements.

[0055] In a specific example, the consumption condition can be set that the consumption amount of a consumer reaches 300. By this setting, it can provide a theoretical basis for determining the employee performance based on historical consumption data in the follow-up.

[0056] Furthermore, when the historical consumption data meets the consumption conditions, determine the performance of the employees who sold the goods based on the historical consumption database and the historical consumption data.

[0057] A1. Analyze the historical consumption data and determine the consumption habits of consumers based on the attributes of the goods in the historical consumption data.

[0058] In the attributes of goods, there are usually multi-level relationships. For example, for nuts: melon seeds: caramel melon seeds, caramel melon seeds belong to melon seeds, and melon seeds belong to nuts.

[0059] Similarly, for beverages: yogurt: old yogurt,

[0060] Then, by analyzing the historical consumption data, the consumption habits of this consumer can be determined. It can be understood that before determining the consumption habits, the consumption levels should be unified, that is, melon seeds correspond to yogurt, and nuts correspond to beverages.

[0061] In a specific example, consumer A has a consumption amount of 300 yuan, of which 100 yuan is used to buy nuts, 50 yuan is used to buy melon seeds, 200 yuan is used to buy beverages, and 100 yuan is used to buy yogurt. This consumer shops three times, with an average consumption of 100 yuan per shopping.

[0062] Then the consumption habit of this customer is to buy nuts at a proportion of one-third and beverages at a proportion of two-thirds. Or, buy melon seeds at a proportion of one-sixth and yogurt at a proportion of one-third.

[0063] It should be noted that it is also possible to analyze the purchase frequency, purchase quantity, and purchase amount of consumers for different goods, so as to understand their consumption preferences and demands.

[0064] A2. Compare the sold goods based on consumption habits to determine the performance ratio of the sold goods.

[0065] The sold goods will be compared based on these consumption habits. By comparing the sold goods with the consumption habits of the consumers, the performance ratio of the sold goods can be determined. This can to a certain extent reflect the performance level of employees when selling specific goods and is a key indicator for evaluating employee performance.

[0066] In a specific example, during a purchase, consumer A bought 60 yuan worth of fruit products, 30 yuan worth of melon seeds, and 60 yuan worth of yogurt.

[0067] It can be understood that the initial performance ratio of all goods is 1.

[0068] If the consumption amount of a good is greater than a certain proportion of the average consumption amount, the performance ratio of this good should be maintained at a relatively high level, and this performance level is set artificially.

[0069] In a specific example, during a purchase, consumer B bought 30 yuan worth of melon seeds and 60 yuan worth of yogurt. If a certain proportion of the average consumption amount is set to 0.6, then 90 is greater than 60, and the performance ratio is 1.5.

[0070] The consumer bought yogurt outside of their consumption habits, which to a certain extent indicates that the employee responsible for selling yogurt has good sales performance, and a relatively high performance ratio should be given to this good, and this performance ratio is set artificially.

[0071] In a specific example, if a consumer buys different types of goods outside of their consumption habits, the performance ratio of this fruit product is 2.

[0072] A3. Process the commodity price, commodity quantity, and commodity cost based on the performance ratio to determine the performance of the employee selling the goods.

[0073] Furthermore, when the historical consumption data does not meet the consumption conditions, process the sold goods based on the consumption database to determine the performance of the employee selling the goods.

[0074] When the historical consumption data does not meet the consumption conditions, it indicates that the consumer is a new user or the consumption data cannot be used as a basis for adjusting the performance ratio.

[0075] B1. Retrieve the commodity data with the same commodity attributes in the consumption database based on the sold goods.

[0076] Retrieve product data with the same product attributes in the consumption database based on the sold product. By retrieving this data with the same or similar product attributes, namely product data. The product data includes the selling ratio, price, sales volume, return rate, customer evaluation, etc. of the sold product during the sales process. In the embodiment of the present application, the selling ratio of the sold product during the sales process is the main focus.

[0077] B2. Determine the performance ratio of the product based on the ratio between product data.

[0078] The ratio between product data and the performance of the product is non-linearly inversely proportional.

[0079] In a specific example, the sold products include yogurt and nuts. In the consumption database, the selling ratio of yogurt to nuts is 1:4.

[0080] Then the performance ratio of nuts is 1, and the performance ratio of yogurt is 1.4. It can be understood that the specific calculation formula is set according to the actual situation.

[0081] B3. Process the product price, product quantity, and product cost based on the performance ratio to determine the employee performance of the sold product.

[0082] For A3 and B3, the following is a detailed description:

[0083] First, determine the unit profit of the sold product based on the product price and product cost.

[0084] It is necessary to clarify the product price and product cost. The product price refers to the selling price of the product in the market, while the product cost includes various expenses such as production cost, operation cost, and sales cost. These data can usually be obtained from the enterprise's financial system or sales database.

[0085] Calculate the unit profit of the sold product based on the product price and product cost. The unit profit refers to the profit obtained from selling each product. The calculation formula is: unit profit = product price - product cost. It should be noted that for products measured in units (such as kg), the measurement unit is the basis.

[0086] Furthermore, determine the sales profit of the sold product based on the sales profit and product quantity.

[0087] Determine the sales profit of the sold product based on the sales profit and product quantity. The sales profit refers to the profit obtained by subtracting the total cost from the total revenue obtained from selling the product. To calculate the sales profit, it is necessary to multiply the unit profit by the sales quantity. The formula is as follows: sales profit = unit profit × product quantity.

[0088] Furthermore, determine the employee performance of the sold product based on the sales profit and performance ratio.

[0089] Determine the performance of employees selling goods based on the sales profit and the performance ratio. By multiplying the sales profit by the performance ratio, the performance reward that employees should receive during the process of selling goods can be obtained. The calculation formula is: Employee performance = Sales profit × Performance ratio.

[0090] Step 107: Add the employee performance to a preset performance statistics table based on the employee division of labor form to determine the real-time performance of the performance beneficiaries.

[0091] The performance statistics table is a table used to count the performance of employees, and this table is displayed in the time sequence of days, weeks, months, and years.

[0092] In addition to the above method, in order to ensure the accuracy and practicality of the consumption database to a certain extent, the method further includes: uploading the settlement bill to the consumption database;

[0093] Classify and count the sales quantity of the sold goods based on the commodity attributes.

[0094] In order to ensure the accuracy and practicality of the consumption database to a certain extent, in addition to the method of analyzing the employee performance based on historical consumption data mentioned above, the following measures can also be taken:

[0095] Upload the settlement bill to the consumption database. Whenever a consumption occurs, the relevant settlement bill will detail key data such as the information of the consumer, the purchased goods, and the consumption amount. Uploading these settlement bills to the consumption database in a timely manner can ensure that the information in the database is up-to-date and reflects the real consumption situation. Through regular account reconciliation and verification, we can ensure the accuracy of the database and provide a reliable basis for subsequent data analysis and employee performance evaluation.

[0096] Furthermore, the commodity attributes may include types, price ranges, brands, functional features, etc. By classifying and counting the sold goods according to these attributes, we can understand the sales situation of various types of goods more deeply, discover sales hotspots and potential demands. This kind of classification and counting not only helps to optimize the commodity structure and inventory management, but also provides strong support for formulating marketing strategies and adjusting employee performance indicators.

[0097] The above is the method embodiment proposed in this application. Based on the same inventive concept, the embodiment of this application also provides a real-time assessment device for the performance of employees in non-standard retail, and its structure is as Figure 2 shown.

[0098] Figure 2 This is a schematic diagram of the internal structure of a real-time assessment device for the performance of employees in non-standard retail provided by the embodiment of this application. As Figure 2 shown, the device includes:

[0099] At least one processor 201;

[0100] And a memory 202 communicatively connected to the at least one processor;

[0101] Wherein, the memory 202 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 201 so that the at least one processor 201 can:

[0102] Obtain the merchandise layout map and employee work schedule of a non-standard retail store; wherein, the merchandise layout map includes merchandise locations and merchandise attributes, and the employee work schedule includes employee names, scheduled working times, and responsible areas; construct a regional retail map based on the merchandise layout map, integrate the employee work schedule with the regional retail map to determine an employee division of labor table; obtain settlement bills in real time, determine the sales time, at least one sold merchandise, and consumer based on the settlement bills; wherein, the sold merchandise includes merchandise quantity, merchandise attributes, merchandise price, and merchandise cost; match the employee division of labor table based on the sales time and sold merchandise to determine performance beneficiaries; retrieve historical consumption data of consumers based on a preset consumption database; analyze the sold merchandise based on the consumption database and historical consumption data to determine the employee performance of the sold merchandise; add the employee performance to a preset performance statistics table based on the employee division of labor table to determine the real-time performance of the performance beneficiaries.

[0103] Some embodiments of the present application provide a Figure 1 non-volatile computer storage medium for real-time assessment of employee performance for a non-standard retail, storing computer-executable instructions, and the computer-executable instructions are set to:

[0104] Obtain the merchandise layout map and employee work schedule of a non-standard retail store; wherein, the merchandise layout map includes merchandise locations and merchandise attributes, and the employee work schedule includes employee names, scheduled working times, and responsible areas; construct a regional retail map based on the merchandise layout map, integrate the employee work schedule with the regional retail map to determine an employee division of labor table; obtain settlement bills in real time, determine the sales time, at least one sold merchandise, and consumer based on the settlement bills; wherein, the sold merchandise includes merchandise quantity, merchandise attributes, merchandise price, and merchandise cost; match the employee division of labor table based on the sales time and sold merchandise to determine performance beneficiaries; retrieve historical consumption data of consumers based on a preset consumption database; analyze the sold merchandise based on the consumption database and historical consumption data to determine the employee performance of the sold merchandise; add the employee performance to a preset performance statistics table based on the employee division of labor table to determine the real-time performance of the performance beneficiaries.

[0105] Each embodiment in this application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant parts, reference can be made to the partial description of the method embodiments.

[0106] The systems and media provided in the embodiments of this application correspond one by one to the methods. Therefore, the systems and media also have beneficial technical effects similar to those of their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be elaborated here.

[0107] Those skilled in the art should understand that the embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) that contain computer-usable program code.

[0108] This application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of this application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0109] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 steps for implementing the functions specified in one block or multiple blocks.

[0111] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0112] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0113] Computer-readable media includes permanent and non-permanent, removable and non-removable media and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0114] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, commodity or device comprising the element.

[0115] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various modifications and changes can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A real-time assessment method for employee performance in non-standard retail, characterized in that, The method includes: Obtaining a commodity layout map and an employee work schedule of a non-standard retail store; wherein, the commodity layout map includes commodity positions and commodity attributes, and the employee work schedule includes employee names, work schedule times, and responsible areas; Constructing a regional retail map based on the commodity layout map, and integrating the employee work schedule with the regional retail map to determine an employee division of labor table; Obtaining a settlement bill in real time, and determining a sales time, at least one sold commodity, and a consumer based on the settlement bill; wherein, the sold commodity includes the commodity quantity, commodity attributes, commodity price, and commodity cost; Matching the employee division of labor table based on the sales time and the sold commodity to determine a performance beneficiary; Retrieving the historical consumption data of the consumer based on a preset consumption database; Analyzing the sold commodity based on the consumption database and the historical consumption data to determine the employee performance of the sold commodity; Adding the employee performance to a preset performance statistical table to determine the real-time performance of the performance beneficiary; Constructing a regional retail map based on the commodity layout map, and integrating the employee work schedule with the regional retail map to determine an employee division of labor table, specifically including: Constructing a preliminary regional retail map based on the commodity positions; Marking the commodity attributes in the preliminary regional retail map according to the commodity positions to construct the regional retail map; Generating a first number of first employee division of labor tables based on the work schedule time with the employee names as a reference; wherein, the first number is the same as the number of different work schedule times; Matching the regional retail map based on the responsible area, and substituting the first number of preliminary employee division of labor tables based on the association relationship between the responsible area and the work schedule time to generate a first number of second employee division of labor tables; Integrating the first number of second employee division of labor tables to determine the employee division of labor table; Matching the employee division of labor table based on the sales time and the sold commodity to determine a performance beneficiary, specifically including: Matching the employee division of labor table based on the sales time to determine a first set of performance beneficiaries; Matching the employee division of labor table based on the commodity attributes to determine a second set of performance beneficiaries; Comparing the first set of performance beneficiaries and the second set of performance beneficiaries to determine the performance beneficiary; Analyzing the sold commodity based on the consumption database and the historical consumption data to determine the employee performance of the sold commodity, specifically including: Comparing the historical consumption data with preset consumption conditions; When the historical consumption data meets the consumption conditions, processing the sold commodity based on the historical consumption data to determine the employee performance of the sold commodity; When the historical consumption data does not meet the consumption conditions, processing the sold commodity based on the consumption database to determine the employee performance of the sold commodity; When the historical consumption data meets the consumption conditions, processing the sold commodity based on the historical consumption data to determine the employee performance of the sold commodity, specifically including: Analyzing the historical consumption data, and determining the consumption habits of the consumer based on the attributes of the commodities in the historical consumption data; Compare the sold goods based on the consumption habits to determine the performance ratio of the sold goods; Process the commodity price, commodity quantity, and the commodity cost based on the performance ratio to determine the employee performance of the sold goods; Process the commodity price, commodity quantity, and the commodity cost based on the performance ratio to determine the employee performance of the sold goods, specifically including: Determine the unit profit of the sold goods based on the commodity price and the commodity cost; Determine the sales profit of the sold goods based on the sales profit and the commodity quantity; Determine the employee performance of the sold goods based on the sales profit and the performance ratio; When the historical consumption data does not meet the consumption conditions, process the sold goods based on the consumption database to determine the employee performance of the sold goods, specifically including: Retrieve the commodity data with the same commodity attributes in the consumption database based on the sold goods; Determine the performance ratio of the commodity based on the ratio between the commodity data; Process the commodity price, commodity quantity, and the commodity cost based on the performance ratio to determine the employee performance of the sold goods.

2. The real-time performance assessment method for employees in non-standard retail according to claim 1, characterized in that The method further includes: Upload the settlement bill to the consumption database; Classify and count the sold goods based on the commodity attributes.

3. An employee performance real-time assessment device for non-standard retail, characterized in that, The device includes: At least one processor; And a memory communicatively connected to the at least one processor; Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: Obtain the commodity layout diagram and the employee work schedule of a non-standard retail store; wherein, the commodity layout diagram includes the commodity location and commodity attributes, and the employee work schedule includes the employee name, the scheduled work time, and the responsible area; Construct a regional retail map based on the commodity layout diagram, and integrate the employee work schedule with the regional retail map to determine the employee division of labor table; Obtain the settlement bill in real time, and determine the sales time, at least one sold good, and the consumer based on the settlement bill; wherein, the sold good includes the commodity quantity, commodity attributes, commodity price, and commodity cost; Match the employee division of labor table based on the sales time and the sold goods to determine the performance beneficiary; Retrieve the historical consumption data of the consumer based on a preset consumption database; Analyze the sold goods based on the consumption database and the historical consumption data to determine the employee performance of the sold goods; Add the employee performance to a preset performance statistical table based on the employee division of labor table to determine the real-time performance of the performance beneficiary; Construct a regional retail map based on the commodity layout diagram, and integrate the employee work schedule with the regional retail map to determine the employee division of labor table, specifically including: Construct a preliminary regional retail map based on the commodity location; Mark the commodity attributes in the preliminary regional retail map according to the commodity location to construct the regional retail map; Based on the employee name, generate a first number of first employee division of labor tables based on the scheduled work time; wherein, the first number is the same as the number of different scheduled work times; Match the regional retail map based on the responsible area, and substitute the first number of preliminary employee division tables based on the association relationship between the responsible area and the scheduling time to generate the first number of second employee division tables; Integrate the first number of second employee division tables to determine the employee division table; Match the employee division table based on the sales time and the sold goods to determine the performance beneficiaries, specifically including: Match the employee division table based on the sales time to determine the first set of performance beneficiaries; Match the employee division table based on the commodity attributes to determine the second set of performance beneficiaries; Compare the first set of performance beneficiaries and the second set of performance beneficiaries to determine the performance beneficiaries; Analyze the sold goods based on the consumption database and historical consumption data to determine the employee performance of the sold goods, specifically including: Compare the historical consumption data with preset consumption conditions; When the historical consumption data meets the consumption conditions, process the sold goods based on the historical consumption data to determine the employee performance of the sold goods; When the historical consumption data does not meet the consumption conditions, process the sold goods based on the consumption database to determine the employee performance of the sold goods; When the historical consumption data meets the consumption conditions, process the sold goods based on the historical consumption data to determine the employee performance of the sold goods, specifically including: Analyze the historical consumption data, and determine the consumption habits of the consumers based on the attributes of the goods in the historical consumption data; Compare the sold goods based on the consumption habits to determine the performance ratio of the sold goods; Process the commodity price, commodity quantity, and commodity cost based on the performance ratio to determine the employee performance of the sold goods; Process the commodity price, commodity quantity, and commodity cost based on the performance ratio to determine the employee performance of the sold goods, specifically including: Determine the unit profit of the sold goods based on the commodity price and commodity cost; Determine the sales profit of the sold goods based on the sales profit and the commodity quantity; Determine the employee performance of the sold goods based on the sales profit and the performance ratio; When the historical consumption data does not meet the consumption conditions, process the sold goods based on the consumption database to determine the employee performance of the sold goods, specifically including: Retrieve the commodity data with the same commodity attributes in the consumption database based on the sold goods; Determine the performance ratio of the commodity based on the ratio between the commodity data; Process the commodity price, commodity quantity, and commodity cost based on the performance ratio to determine the employee performance of the sold goods.

4. A non-volatile computer storage medium for real-time assessment of employee performance in non-standard retail, storing computer-executable instructions, characterized in that, The computer-executable instructions are set to: Obtain the commodity layout map and employee scheduling table of a non-standard retail store; wherein, the commodity layout map includes the commodity location and commodity attributes, and the employee scheduling table includes the employee name, scheduling time, and responsible area; Construct a regional retail map based on the commodity layout map, and integrate the employee scheduling table with the regional retail map to determine the employee division table; Obtain the settlement bill in real time, and determine the sales time, at least one sold commodity, and the consumer based on the settlement bill; wherein, the sold commodity includes the quantity of the commodity, the commodity attributes, the commodity price, and the commodity cost; Match the staff division of labor table based on the sales time and the sold commodity to determine the performance beneficiary; Retrieve the historical consumption data of the consumer from the preset consumption database; Analyze the sold commodity based on the consumption database and the historical consumption data to determine the staff performance of the sold commodity; Add the staff performance to the preset performance statistical table based on the staff division of labor table to determine the real-time performance of the performance beneficiary; Construct a regional retail map based on the commodity layout map, and integrate the staff scheduling table with the regional retail map to determine the staff division of labor table, specifically including: Construct a preliminary regional retail map based on the commodity locations; Mark the commodity attributes on the preliminary regional retail map according to the commodity locations to construct the regional retail map; Generate a first number of first staff division of labor tables based on the staff names and the scheduling time; wherein, the first number is the same as the number of different scheduling times; Match the regional retail map based on the responsible area, and substitute the first number of preliminary staff division of labor tables based on the association relationship between the responsible area and the scheduling time to generate a first number of second staff division of labor tables; Integrate the first number of second staff division of labor tables to determine the staff division of labor table; Match the staff division of labor table based on the sales time and the sold commodity to determine the performance beneficiary, specifically including: Match the staff division of labor table based on the sales time to determine the first set of performance beneficiaries; Match the staff division of labor table based on the commodity attributes to determine the second set of performance beneficiaries; Compare the first set of performance beneficiaries and the second set of performance beneficiaries to determine the performance beneficiary; Analyze the sold commodity based on the consumption database and the historical consumption data to determine the staff performance of the sold commodity, specifically including: Compare the historical consumption data with the preset consumption conditions; When the historical consumption data meets the consumption conditions, process the sold commodity based on the historical consumption data to determine the staff performance of the sold commodity; When the historical consumption data does not meet the consumption conditions, process the sold commodity based on the consumption database to determine the staff performance of the sold commodity; When the historical consumption data meets the consumption conditions, process the sold commodity based on the historical consumption data to determine the staff performance of the sold commodity, specifically including: Analyze the historical consumption data, and determine the consumption habits of the consumer based on the attributes of the commodities in the historical consumption data; Compare the sold commodity based on the consumption habits to determine the performance ratio of the sold commodity; Process the commodity price, the commodity quantity, and the commodity cost based on the performance ratio to determine the staff performance of the sold commodity; Processing the commodity price, commodity quantity, and the commodity cost based on the performance ratio to determine the employee performance of the sold commodities, specifically including: Determining the unit profit of the sold commodities based on the commodity price and the commodity cost; Determining the sales profit of the sold commodities based on the sales profit and the commodity quantity; Determining the employee performance of the sold commodities based on the sales profit and the performance ratio; When the historical consumption data does not meet the consumption conditions, processing the sold commodities based on the consumption database to determine the employee performance of the sold commodities, specifically including: Retrieving the commodity data with the same commodity attributes in the consumption database based on the sold commodities; Determining the performance ratio of the commodities based on the ratio between the commodity data; Processing the commodity price, commodity quantity, and the commodity cost based on the performance ratio to determine the employee performance of the sold commodities.

Images