BG3391U1 - System for optimizing the work of retail establishments - Google Patents

Abstract

The utility model relates to a system for optimizing the work of retail establishments, which will find application in commercial activity and in particular for planning the work of the personnel and improving the effectiveness of marketing campaigns in shops. The system for optimizing the work of retail establishments comprises multiple cameras (2), which, according to the utility model, have a bidirectional connection to a control module (1), which is also bidirectionally connected to multiple motion sensors (3). The control module (1) has a bidirectional connection to a module for data confidentiality (4), module for face recognition (5) and a module for analysis (6). The module for data confidentiality (4), the module for face recognition (5) and the module for analysis (6) are bidirectionally connected to a data base server (7) which has a bidirectional connection by means of web application with a user electronic device (8).

Description

Field of technology

The utility model refers to a system for optimizing the operation of retail outlets, which will find application in commercial activities and in particular for planning the work of staff and improving the effectiveness of marketing campaigns in stores.

BACKGROUND OF THE INVENTION

The usual practice in retail chains is to hire a certain amount of staff occupying different positions in the store. The working hours of the individual site are a fixed duration and the work of the individual employees is divided into shifts. In practice, there are staff available at the commercial site who do not have sufficient employment in certain time ranges, which leads to loss of resources. On the other hand, it is common practice for retail chains to conduct marketing campaigns aimed at increasing sales. These campaigns are usually monitored either by monitoring sales growth or by hiring additional staff to monitor marketing campaigns. This practice is often not effective because the end result is evaluated without the possibility of optimizing future campaigns.

From practice are known systems for optimizing the operation of retail outlets, which through multiple cameras and specialized software count the people in the retail outlets. These systems do not provide reliable information, as they do not allow the identification of individuals, but monitor the total number of people moving in the site.

Technical essence of the utility model

The task of the utility model is to create a system for optimizing the work of retail outlets, which will serve both to optimize the working hours of staff in retail outlets and to improve the effectiveness of marketing or promotional campaigns.

The problem is solved by means of a system for optimizing the work of commercial sites, including multiple cameras.

According to the utility model, the cameras have a bidirectional connection to a control module, which is connected in both directions and to a plurality of motion sensors. The control module has a two-way connection to a data confidentiality module, a facial recognition module and an analysis module. The data privacy module, the facial recognition module and the analysis module are connected bidirectionally to a server is a database that has a bidirectional connection via a web application is a consumer electronic device.

The system for optimizing the operation of retail outlets allows each person to be monitored at all times in the retail outlet and to identify the order and route of passage through the retail outlet of individuals, which leads to the collection of more accurate data. Motion sensors contribute to the enrichment of the data and provide another opportunity to correlate the data with the information from the cameras, and this leads to increased accuracy of the system. The system for optimizing the work of retail outlets offers the ability to predict the load in retail outlets and significantly improves the effectiveness of campaigns based on real-time analysis from more than one source. Such an analysis is more accurate than the traditional approaches used.

Explanation of the attached figure

The utility model is explained in the attached figure 1, which presents a schematic diagram of the system for optimizing the operation of retail outlets.

Examples of implementation of the utility model

Figure 1 shows that the system for optimizing the operation of retail outlets includes a plurality of cameras 2, which according to the utility model have a two-way connection to the control module 1, which is connected in two directions and to multiple motion sensors 3. The control module 1 has a two-way

5179 Descriptions to utility registration certificates № 01.2 / 31.01.2020 juicy link to data privacy module 4, facial recognition module 5 and analysis module 6. Data privacy module 4, facial recognition module 5 and module for analysis 6 are connected bidirectionally to a database server 7, which has a bidirectional connection via a web application to a consumer electronic device 8.

Application of the utility model

The system for optimizing the work of retail outlets aims to optimize the planning of staff in the retail outlet, as well as to improve the effectiveness of marketing or promotional campaigns. For this purpose, the system measures and reports the following parameters:

• number of customers entering the store;

• number of customers leaving the store;

• average stay of a client in the commercial site;

• number of customers passing through certain control points in the retail outlet.

This is done by means of the control module 1, which is responsible for the control of the cameras and the motion sensors 3 by periodically reading data from them, setting their operating modes and checking their states. The control module 1 aggregates the information, transmits it to the algorithms for processing and then for storage in the database server 7. The cameras 2 are in high resolution and are located at the entry and exit points of the object, as well as in itself. The motion sensors are also located inside the store and serve to record the number of visitors passing through specific checkpoints. The data privacy module 4 performs the functions of encrypting and ensuring reliable data storage. Additionally, the data privacy module 4 ensures that visitor data is not used or stored after leaving the store. Upon leaving the site, the event is recorded and the data from the facial recognition of the respective visitor is deleted from the server with database 7. Through the facial recognition module 5 higher accuracy of measurements and operation of the algorithms is achieved. The facial recognition module 5 serves to monitor visitors from their entry, through their movements inside the store until their exit. Face recognition not only allows you to count the number of people passing through each point in the site, but also helps to track the specific routes on which they move inside the site. The analysis module 6 processes the collected data, provides users with information about the expected workload by hours, gives suggestions for hiring additional staff and provides the user with access to all statistical and historical data. The database server 7 provides centralized storage of all data collected by the hardware devices, as well as the input and output data of each of the other modules. The database server 7 is bidirectionally connected to a user electronic device 8 via a web application that provides a user interface for working with the system, provides access to historical data, statistics and analysis in graphical and tabular format, as well as configuration and administration capabilities. of the system.

The system for optimizing the operation of retail outlets provides the following opportunities:

1. Optimization of the staff - by taking into account the number of visitors to the store, both peak and unloaded intervals of working hours are determined, which helps to plan the staff. Based on the statistics collected for each site, the number of visitors in each working time interval can be predicted. The site manager can pre-order additional staff and improve the quality of service - e.g. to be informed in advance that if there are more visitors on the weekends in the interval 16-20 h it is necessary to be more consultants and cashiers per shift.

2. Measurement of the time spent by each visitor in the commercial site, as well as the average time of stay of an individual visitor. By comparing these data with the data on sales and shift staff, analyzes can be performed on the effectiveness of sales, the quality of work of individual teams, as well as to proactively monitor for problems - e.g. much lower average time of a visitor in a specific site compared to all other sites, which would lead to a more detailed pro-

5180 Descriptions to certificates for registration of utility models № 01.2 / 31.01.2020 verification, as well as identification of problems.

3. Improving the effectiveness of marketing and promotional campaigns - through the motion sensors 1 and cameras 2 located at certain control points in the store (eg on each product line), the number of customers passing through each point is reported. When using cameras 2 in combination with the facial recognition module 5, it is also possible to determine the order of passage through the commercial site. The analysis of these data is important for determining the arrangement of the commercial site, ie. it is monitored whether there are parts of it that are rarely visited and why, in which parts there are the largest number of visitors, in what order they pass through the commercial site.

4. Optimization information can be extracted from:

a. the arrangement of the goods in the site - e.g. goods that should be close to each other;

b. marketing campaigns - determining the optimal positioning of promotional products, as well as current marketing and advertising campaigns, as well as their positioning in places with the largest number of visitors, near entrances / exits or other points with increased traffic.

Claims (1)

Claims A system for optimizing the operation of retail outlets, comprising a plurality of cameras, characterized in that the cameras (2) have a bidirectional connection to a control module (1), which is connected in both directions and to a plurality of motion sensors (3), which the control module (1) has a two-way connection to a data privacy module (4), a facial recognition module (5) and an analysis module (6), such as the data privacy module (4), the facial recognition module (5) ) and the analysis module (6) are connected bidirectionally to a database server (7), which has a bidirectional connection via a web application to a consumer electronic device (8).