FR3039301A1 - METHOD AND SYSTEM FOR MANAGING HUMAN MEANS AND MATERIALS AT A POINT OF SALE - Google Patents

Abstract

The present invention relates to the field of managing the human and material means of a point of sale, in order to optimize the supply of materials or raw materials by road hauliers, as well as the personnel necessary for the proper functioning of the equipment. point of sale. The invention relates to a method for managing the human and material resources of a point of sale allowing the acquisition of data (f20, f30, f40) relating to the previous attendance of the point of sale acquisition of the address of the point (f21, f31, f41), then the constitution of indicators (I20, I30, I40) likely to have influenced the previous attendance of the point of sale. The method makes it possible to model (M20, M30, M40) the attendance of the point of sale by identifying the relevant indicators that influenced the previous attendance, and then to determine the subsequent attendance (f22, f32, f42). The invention also relates to a management system for implementing the method and an installation comprising the management system and digital terminals.

Description

METHOD AND SYSTEM FOR MANAGING HUMAN MEANS AND MATERIALS AT A POINT OF SALE

Technical area

The present invention relates to the field of managing the human and material resources of a point of sale, in order to optimize the supply of materials or raw materials by suppliers and road carriers, as well as the personnel needed to smooth operation of the point of sale. The invention is addressed to any type of point of sale, such as shops, bars, restaurants, or even other.

State of the art

Each point of sale is confronted with a management of its human and material resources, a mismanagement having a direct impact on the profitability of the point of sale and the satisfaction of the customers.

Indeed, a lack of personnel, a lack of material and / or raw material does not make it possible to satisfy at the right moment all the customers present at the point of sale, which must consequently move towards other points of sale , which generates a shortfall. In addition, it is generally not possible at the point of sale to be supplied by the carriers and to call on additional staff immediately.

Conversely, in the case of overstaffing or excess material or raw material, the staff is unoccupied, the equipment remains in stock at the point of sale, or even the raw materials are discarded, especially when This is perishable food, which leads to an additional cost of staff and raw material compared to the turnover generated, resulting in losses for the point of sale. Summary of the invention

The present invention aims to overcome the aforementioned drawbacks. For this purpose, the invention implements a method for managing the human and material means of a point of sale, implemented by computer means, said method comprising at least the following steps: - acquisition of data relating to the prior use of the point of sale by means of a digital terminal and transmission of this data to a central unit; acquisition of the point of sale address by means of a digital terminal and transmission of the address to the central unit; - establishment of indicators likely to have influenced the previous attendance of the point of sale, by means of a software incorporated in the central unit; - Modeling Artificial Intelligence point-of-sale through the software, identifying the relevant indicators that influenced past attendance; determining subsequent attendance based on the relevant indicators influencing said attendance, using the software; retrieval of data relating to subsequent attendance on a digital terminal.

The return of the data relating to the subsequent attendance then allows the point of sale to manage the human and material resources according to the needs, to satisfy the customers.

In one embodiment of the method that is the subject of the invention, in addition to the data relating to the subsequent attendance, the latter consists in determining and restoring the data relating to the significant events influencing said subsequent frequentation. This allows the point of sale to more accurately estimate the type of people who will attend the point of sale depending on the type of event, in order to better target their raw material needs.

In an implementation of the method according to the invention, the data relating to past attendance include the number of customers who frequented the point of sale. However, other data relating to past attendance are possible, in addition, these may for example include the number of sales made by the point of sale.

In one embodiment of the method according to the invention, the indicators influencing the attendance include events geolocated with respect to the address of the point of sale. It can for example be events geo-referenced within a radius of about 1 to 5 km, or even geo-referenced events between five to thirty minutes from the point of sale, depending on the available means of transport (metro, bus, bicycle, car, pedestrian ways). Non-exhaustively, these events are of the fair, culture, sport and / or event type. Other indicators influencing attendance are also taken into account, preferably in addition to the weather, the holiday calendar and / or the tourist calendar.

In one embodiment of the method according to the invention, it comprises a complementary step of daily acquisition of the data relating to the attendance of the eve of the point of sale, by means of a digital terminal, and of transmission of these data. to the central unit. This data is taken into account in determining the subsequent attendance of said point of sale by the software.

In one embodiment of the method according to the invention, the previous attendance consists of the attendance over a period of one month to five years preceding the launch of said method, preferably over a period of three years. However, this period could be shortened or extended depending on how one wishes to refine the modeling using the indicators taken into account.

In one embodiment of the method according to the invention, the subsequent attendance consists of attendance in the following one to ten days daily. However, a longer-term forecast could be made, but this would have the effect of reducing the quality of the forecasts.

In one embodiment of the method according to the invention, the software extracts the indicators directly and automatically on the Internet network. This makes it possible to have very rich and constantly updated sources of indicators, which increases the quality of the modeling and the estimation of the subsequent attendance. The invention also relates to a management system for the human and material means of a point of sale comprising a central unit that comprises computer means for recording and calculation incorporating software configured to implement the method having the aforementioned characteristics. The software is configured to: acquire data relating to the previous attendance of the point of sale and the address of the point of sale, transmitted by a digital terminal to the computer means of recording and calculation; be indicators that may have influenced past attendance at the point of sale; model artificial intelligence point-of-sale attendance by identifying relevant indicators that have influenced past attendance; determine subsequent attendance based on the relevant indicators influencing attendance, based on the model; return data relating to the subsequent attendance, which are transmitted on a digital terminal.

According to the system that is the subject of the invention, the software is configured to acquire day-to-day attendance data transmitted daily by means of a digital terminal, said data being taken into account in the determination of the subsequent attendance.

According to the system that is the subject of the invention, the software is configured to automatically constitute the indicators from the data of sites present on the Internet network. The invention also relates to a facility for managing the human and material resources of points of sale. The installation comprises a management system having the aforementioned characteristics and implementing said method. In addition, the installation comprises at least one digital terminal configured to transmit data to the central unit and, conversely, to receive data from the central unit. The installation also comprises connection means between the management system and the at least one digital terminal. The invention also relates to a recording medium readable by a central unit that can be deported or, conversely, integrated in a digital terminal such as a laptop, a smartphone or a touch pad, for example. On this recording medium is recorded software, in the form of a computer program, allowing the implementation of the various steps of the method of managing the human and material resources of a point of sale having the aforementioned characteristics. The software can use any programming language compatible with the central unit. This recording medium can be any entity or device capable of storing the program developed and implementing the software. For example, the recording medium may comprise storage means, such as a ROM of the CD-ROM or microelectronic circuit type, or a magnetic recording means, for example an internal or external hard disk. This recording medium may also be a transmissible medium such as an electrical or optical signal, such a signal can be conveyed via an electrical or optical cable, conventional radio or radio or self-directed laser beam or by other means. The computer program constituting the software can be downloaded in particular on an Internet-type network. Likewise, this recording medium may be an integrated circuit in which the computer program is incorporated, the integrated circuit being configured to be used in the execution of the method which is the subject of the invention. The invention also relates to a use of the management method, the management system and the management installation having the aforementioned characteristics of the invention for restaurant-type outlets.

Brief description of the figures

The features and advantages of the invention will appear on reading the following description of a preferred embodiment based on figures, among which: FIG. 1 illustrates a flowchart of the method for managing human and material resources a point of sale;

Figure 2 illustrates the operating principle of the management method of human and material means of a point of sale;

FIG. 3 schematizes an embodiment of a facility for managing the human and material resources of points of sale.

detailed description

The following description of an embodiment will refer in particular to the management of the human and material means of restaurants. The invention is not limited to this application, however, many other types of outlets are possible, such as cafes or pubs, multimedia stores, shoe stores or clothing. The flowchart illustrated in FIG. 1 explains the method of management of the human and material means which is the subject of the invention. This method is implemented by means of software that is installed on a central CPU1, shown schematically in FIG. 3. The assembly constitutes a system 1 for managing the human and material resources of a point of sale. Three outlets 20, 30, 40 are illustrated in this figure 3, this number not being limiting, one or two outlets can be managed or, conversely, many more than three outlets, for example one hundred , two hundred or three hundred points of sale when it comes to large restaurant chains. Preferably, the management system 1 allows the management of several outlets of the same brand and / or independent signs, for example several restaurants of several food chains and / or several independent restaurants. The central unit CPU1 can be independent depending on the number of points of sale to be managed, on which depend the capacity of data storage and the speed of work of the software making it possible to estimate the future attendance of each point of sale. For a large number of points of sale to be managed, the CPU1 CPU may be bulky and arranged in a computer room 10 specially adapted and dedicated, including a cooling system 11 and a current inverter 12, shown schematically in Figure 3. The CPU1 CPU incorporates in particular a PI computer support, such as a processor, on which is stored the computer program implementing the software that calculates the subsequent attendance of each outlet 20, 30, 40. This unit central station CPU1 also incorporates data storage means DB1, such as a ROM or a magnetic hard disk, on which are stored the data f20, f30, f40 relating to the previous attendance of each store 20, 30, 40 over a specified period ranging from one month to five years, preferably over a period of three years. These data f20, f30, f40 can also be supplemented by other data. By way of example, in the case of restoration, it is possible to envisage additional data relating to the number of sales over the same period, the software being in this case configured to estimate the quantities of raw materials required.

This central unit CPU1 can also be integrated with a digital terminal T1, as illustrated in FIG. 3, for example for the management of a limited number of outlets that do not need to deport the central unit, or even to enable each point of sale to personally dispose of the management system 1 and personally estimate customer attendance. This digital terminal T1 comprises, in a traditional manner, computer means 100 which, in this case, integrate the central unit CPU1, as well as communication means 110 such as, for example, a screen 111, a keyboard 112 and a mouse 113 which notably make it possible to display the data relating to the previous attendance f20, f30, f40 for the outlets 20, 30, 40, the data relating to the subsequent attendance determined for these outlets 20, 30, 40 and perform software updates. These communication means 110 are interconnected to the CPU1. When the central unit CPU1 is remote from the digital terminal T1 and disposed directly in a computer room 10, said digital terminal T1 may be available in this computer room 10 and connected to said CPU1 when necessary to read the data. f20, f30, f40 stored on the DB1 database and to update the software. Depending on the type of digital terminal Tl used, these communication means 110 will have different configurations. For example, when it is a laptop, the screen 111, the keyboard 112 and the mouse 113 are separated, whereas when it is a smartphone or a tablet, said elements are common and in the form of a touch screen. The computer program of the software can be registered in any computer language compatible with the IT support PI.

As illustrated in FIG. 1, during the first use, each point of sale 20, 30, 40, shown diagrammatically in FIG. 3, must inform the CPU1 of the data f20, f30, f40 that will be exploited by the software. . These data f20, f30, f40 are transmitted via digital terminals T2, T3, T4 available to each point of sale 20, 30, 40, and stored on the data storage means DB2, DB3, DB4 respective said terminals T2, T3, T4. These digital terminals T2, T3, T4 also each comprise a central unit CPU2, CPU3, CPU4 which incorporates a computer medium P2, P3, P4, of the processor type, and said data storage means DB2, DB3, DB4, of the memory type ROM. These digital terminals T2, T3, T4 also each comprise communication means 210, 310, 410 comprising a screen 211, 311, 411, a keyboard 212, 312, 412 and a mouse 213, 313, 413. These digital terminals T2, T3, T4 may consist of laptops, digital tablets or smartphones.

As illustrated in FIG. 3, interconnection means 50 are implemented between the management system 1 and the outlets 20, 30, 40. In FIG. 3, the digital terminals T1, T2, T3, T4 each integrate reception / transmission means RT1, RT2, RT3, RT4 which are connected to CPUs CPU1, CPU2, CPU3, CPU4 respectively. The connection between these reception / transmission means RT1, RT2, RT3, RT4 is carried out via the internet network, either via a connection to the wired network 51 or a connection to the cellular network 52.

As schematized with reference to FIGS. 1 to 3, each point of sale 20, 30, 40 has its own information system SI20, SI30, SI40 which is stored on the database DB2, DB3, DB4, this system of data. information including data f20,130, f40 relating to past attendance over a specified period. Another data f21, 31, 41 is also taken into account by the software, namely the exact location of the point of sale 20, 30, 40. In a first step S1, these data f20, f30, f40, £ 21, f31 , f41 are transmitted to the database DB1 of the management system 1 during the first use of the management system 1.

In a second step S2, the software is programmed to automatically constitute, from the information present on a multitude of Internet sites WS, a base of indicators 120,130,140 likely to have influenced these frequentations for each point of sale 20, 30, 40, these indicator bases 120,130,140 being stored on the database DB1 of the management system 1. These indicators are, in a non-limiting manner, the weather, the school holidays in the territory concerned and for the neighboring countries, the tourist calendar with the tourist traffic from abroad, events occurring and geo-localized in relation to location f21, f31, f41 of point of sale 20, 30, 40. With regard to the geolocation of these events, it may for example events referenced within a radius of one to five kilometers, preferably five kilometers, or referenced events allow to reach point of sale 20, 30, 40 between five and thirty minutes, depending on the means of transport possible. These events are, for example, trade fairs, sporting events, demonstrations and strikes, concerts, galas, cinema days or any other event likely to have an influence. All these data (weather, holidays, tourism, events ...) are accessible from the websites, which are updated frequently or permanently. From this base of indicators 120, 130, 140, in a third step S3, the software is programmed to model the attendance of points of sale 20, 30, 40 by artificial intelligence, automatically identifying the relevant indicators, the software thereby determining a store-specific prediction model M20, M30, M40 20, 30, 40. In a fourth step S4, the software is programmed to generate forecasts of subsequent attendance f22, f32, f42, that is, to say in the days to come, for example in the next one to ten days, taking into account the various indicators of these days to come, these indicators being drawn automatically and permanently various WS websites, updated on the network Internet. In a next step S5, the software transmits on the digital terminal T2, T3, T4 of the point of sale 20, 30, 40, these data £ 22, £ 32, f42 relating to the planned attendance of the days to come. These data f22, f32, f42 may contain only forecasts of the number of customers who will attend the point of sale 20, 30, 40. Preferably, these data £ 22, £ 32, f42 also include the indicators (events, weather, vacation, tourism ...) that will influence the attendance of the point of sale 20, 30, 40. The transmission of these data £ 22, £ 32, f42 by the software can be done via an electronic message via an address electronic, or even via a secure access on a website dedicated to customers, the point of sale 20, 30, 40 can in this case also transmit these data f20, fiO, f40, f21, thread, f41 through the website from his client access.

In a preferred embodiment, according to a complementary step S6 during daily use of the management system 1, each point of sale 20, 30, 40 transmits to the database DB1 of the management system 1, in a daily manner, the attendance of the Eve 123,133, f43. This data f23, fi3, f43 is taken into account by the software which continuously updates the forecast model M20, M30, M40 according to the indicators (events, weather, tourism, holidays ...) having occurred the day in question. or even the days before.

On the basis of the data f22, fi2, f42 relating to the forecast traffic of the coming days, the point of sale 20, 30, 40 can estimate, in a step S7, these needs in terms of personnel and equipment in order to satisfy all the forecast customers . Thus the point of sale 20, 30, 40 can anticipate these supplies by carriers and suppliers of fresh products and ingredients used in the preparation of cooked dishes, and drinks that will be consumed by customers. It can also anticipate the work schedule of its staff, or even call in complementary and temporary labor, in order to satisfy its customers and maximize profits.

The computer program implementing the software, with the different steps of the management method, is recorded on a recording medium (not shown) readable by the central unit CPU1, independent or integrated in the digital terminal Tl. The software can use any programming language compatible with the computer medium Pl. For example, the recording medium is constituted by the storage means DB1, in which case the software can be pre-loaded on the CPU1 during its acquisition, said software being operated by the computer support Pl. The software can also be recorded on a magnetic recording means (not shown) such as an external hard disk. This recording medium can also be a transmissible medium such as an electrical or optical signal, such a signal can be conveyed via an electrical or optical cable, by an Internet type network. Updates will also be possible, for example via a CD-ROM or the Internet.

The foregoing detailed description of a particular embodiment of the invention is in no way limiting. On the contrary, it aims to remove any imprecision as to its scope. Thus, many variants may be considered in the context of the invention, especially as to the indicators 120,130,140 operated by the software. Many variants can be envisaged as to the installation 60 implemented and illustrated in FIG.

Claims (17)

1. Method for managing the human and material means of a point of sale (20, 30, 40), characterized in that it comprises at least the following steps: - data acquisition (£ 20, f30, f40 ) relating to the previous use of the point of sale by means of a digital terminal (T2, T3, T4) and of transmitting this data to a central unit (CPU1); acquisition of the point of sale address (£ 21, f31, f41) by means of a digital terminal and transmission of the address to a central unit; - the constitution of indicators (120, 130, 140) likely to have influenced the previous attendance of the point of sale, by means of a software incorporated in the central imité; - Modeling (M20, M30, M40) of artificial intelligence point-of-sale visits using the software, identifying the relevant indicators that influenced past attendance; determining subsequent attendance (£ 22, f32, f42) based on the relevant indicators influencing said attendance, using the software; - restitution of the data relating to the subsequent attendance, on a digital terminal. The method of claim 1, wherein the data (G0, £ 30, f40) relating to past attendance includes the number of customers who frequented the point of sale. 3. Method according to one of claims 1 or 2, which consists of complement to be determined and restore the significant events influencing the subsequent attendance (£ 22, 02, f42). 4. Method according to one of claims 1 to 3, wherein the indicators (120, 130, 140) influencing the attendance include geo-localized events with respect to the address (£ 21.01, f41) of the sale (20, 30, 40). 5. Method according to one of claims 3 or 4, wherein the events are of the type lounge, culture, sport and / or event. 6. Method according to one of claims 1 to 5, wherein the Facts (120,130, 140) influencing the attendance include the weather. 7. Method according to one of claims 1 to 6, wherein the indicators (120,130, 140) influencing the attendance include the holiday calendar and / or the tourist calendar. 8. Method according to one of claims 1 to 7, which comprises a complementary step of daily acquisition of the data (123, f33, f43) relating to the attendance of the watch, by means of a digital terminal, and transmission of these data to the central unit, said data being taken into account by the software in the determination of ^ subsequent attendance. 9. Method according to one of claims 1 to 8, wherein the previous attendance consists of attendance on a period of one month to five years prior to the launch of said method, preferably three years. 10. Method according to one of claims 1 to 9, wherein the subsequent attendance consists of attendance in the next one to ten days daily. 11. Method according to one of claims 1 to 10, wherein the software extracts the indicators on the Internet network. 12. Management system (1) human and material means of a point of sale comprising a central unit (CPU1) which comprises computer means for recording and calculation (DB1, PI) incorporating software, characterized in that the software is configured to: - acquire data (£ 20, f30, f40) relating to the previous attendance of the point of sale and the address of the point of sale, transmitted by a digital terminal (T2, T3, T4); - constitute indicators (120, 130, 140) likely to have influenced the previous attendance of the point of sale; - model (M20, M30, M40) the point-of-sale attendance by artificial intelligence by identifying the relevant indicators that influenced previous attendance; determine the subsequent attendance (£ 22, f32, f42) according to the relevant indicators influencing said attendance, on the basis of the model (M20, M30, M40); - restore the data (£ 22, £ 32, f42) relating to the subsequent attendance, on a digital terminal. 13. System (1) according to claim 12, wherein the software is configured to acquire daily data (£ 23, £ 33, f43) relating to the attendance of the watch, transmitted by means of a digital terminal, said data are taken into account in determining subsequent attendance. 14. System (1) according to one of claims 12 or 13, wherein the software is configured to constitute the indicators (120,130, 140) from the data of Internet sites (WS) present on the Internet. 15. Installation (60) for management of human and material means of retail outlets, comprising a management system (1) according to one of claims 12 to 14, at least one digital terminal (T2, T3, T4) configured to transmit data (f20, f30, f40, f21, £ 31, f41, £ 23, £ 33, f43) to the CPU (CPU1) and to receive data (£ 22, £ 32, f42) from the CPU, and connection means (50) between the management system and the at least one digital terminal. 16. Recording medium readable by a central unit (CPUl), on which is recorded software for implementing the method of management of human and material resources of a point of sale (20, 30, 40) according to one of claims 1 to 11. 17. Use of the management system according to one of claims 12 to 14 for the management of human and material resources in outlets (20, 30, 40) of the restaurant type.