TWI821006B - System for evaluating waiting time based on purchases and payment delay and method thereof - Google Patents

Abstract

A system for evaluating waiting time based on purchases and payment delay and a method thereof are provided. By obtaining payment delay of a shopper according to an identify of the shopper, selecting a cashier with shortest waiting time, obtaining unit time of the selected cashier, and calculating service time in accordance with the payment delay and the unit time to update the waiting time of the selected cashier,, the system and the method can achieve the effect of evaluating waiting time in checkout queue.

Description

System and method for evaluating wait times based on purchased items and shopper checkout delays

A checkout waiting time evaluation system and method thereof, particularly a system and method for evaluating waiting time based on purchased goods and shopper checkout delays.

Queuing is a frequent event in daily life, especially in public places, such as store checkout, airport security check, hospital registration and medicine collection, ticket purchase or check-in at the station, waiting for a table in a restaurant or picking up a meal, etc. When there are many people in line, you often have to wait for a long time, sometimes one, two hours or even longer. The waiting process is tedious, and boring waiting will make people in line feel that time passes extremely long, and the waiting time is usually wasted.

When queuing, people participating in the queue may want to know how long they will wait. Some venues will tell people in line how long they need to wait based on past experience. For example, the waiting time is marked next to the queuing route for reference by those queuing, but this waiting time set based on past experience is not very accurate. In addition, there is currently a way to estimate waiting time based on the number of people in line, but this method of calculating waiting time is mainly a rough estimate based on historical data or past experience, and there is no effective measurement method.

On the other hand, the above estimation methods are all based on the premise that each person's service time is roughly fixed. They are not applicable to all venues. In some venues, such as stores, everyone's service time is not fixed. Therefore, the above The errors of various estimation methods will be even greater. Queuers usually still judge the length of the queue by visually observing the number of people queuing and the number of goods purchased by the queuing people.

In summary, it can be seen that there has been a problem in the prior art that there is no effective way to measure the queuing time. Therefore, it is necessary to propose improved technical means to solve this problem.

In view of the problem that previous technologies cannot effectively measure queuing time, the present invention discloses a system and method for evaluating waiting time based on purchased goods and shopper checkout delays, wherein:

The system disclosed by the present invention for evaluating waiting time based on purchased goods and shopper checkout delays at least includes: an identity acquisition module, which is installed at the checkout entrance, to obtain identity identification information; and a product scanning module, which is installed at the checkout. The entrance is used to obtain product identification data and calculate the checkout amount based on the product identification data; the cashier selection module is used to obtain the waiting times of multiple cashiers and select the cashier with the shortest waiting time; the waiting calculation module is used To obtain the payment delay time corresponding to the identification information and the cashier unit time of the selected cashier, and calculate the waiting time of the selected cashier based on the payment delay time and cashier unit time.

The method disclosed in the present invention for evaluating waiting time based on purchased goods and shopper checkout delays at least includes: obtaining identity identification information at the checkout entrance; obtaining product identification information at the checkout entrance, and calculating the settlement based on the product identification information. Account amount; obtain the waiting time of multiple cashiers and select the cashier with the shortest waiting time; obtain the payment delay time corresponding to the identification information; obtain the cashier unit time of the selected cashier; based on the payment delay time and cashier unit The time is calculated as the waiting time at the selected cashier.

The system and method disclosed by the present invention are as above. The difference between them and the prior art is that the present invention obtains the shopper's payment delay time through the shopper's identity recognition data and selects the cashier unit time of the cashier with the shortest current waiting time. The payment delay time and cashier unit time update the waiting time of the selected cashier to solve the problems existing in the previous technology and achieve the technical effect of accurately evaluating the checkout waiting time.

The features and implementations of the present invention will be described in detail below with reference to the drawings and examples. The content is sufficient to enable any person familiar with the relevant art to easily fully understand the technical means used to solve the technical problems of the present invention and implement them accordingly, thereby achieving The effect that the present invention can achieve.

This invention can calculate the checkout amount and guide the shopper to the checkout counter with the shortest waiting time when the shopper completes the shopping and needs to checkout, and at the same time updates the waiting time at the checkout counter based on the shopper's payment delay time.

The system operation of the present invention is first explained below with reference to "Figure 1", a system architecture diagram of the system architecture diagram of evaluating waiting time based on purchase of goods and shopper checkout delay proposed by the present invention. As shown in "Figure 1", the system of the present invention includes an entrance service device 100, a cashier device 200, and an optional customer service device 500. Among them, the entrance service device 100, the cashier device 200, and the customer service device 500 can all be computing devices.

The computing device mentioned in the present invention includes but is not limited to one or more processing modules, one or more memory modules, and buses and other hardware connecting different hardware components (including memory modules and processing modules). body components. Through the multiple hardware components included, the computing device can load and execute the operating system, so that the operating system can run on the computing device, and can also execute software or programs. In addition, the computing device also includes a casing, and the above-mentioned hardware components are arranged in the casing.

The bus of the computing device mentioned in the present invention may include one or more types, such as a data bus, an address bus, a control bus, and an extended function bus. expansion bus), and/or local bus (local bus) and other types of buses. Buses for computing equipment include, but are not limited to, Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, Video Electronics Standards Association (VESA) bureaus Domain bus, serial Universal Serial Bus (USB), Peripheral Component Interconnect Express (PCI Express, PCI-E/PCIe) bus, etc.

The processing module of the computing device of the present invention is coupled to the bus. The processing module includes a register (Register) group or register space. The register group or register space can be completely set on the processing chip of the processing module, or all or part of it can be set outside the processing chip. and coupled to the processing chip via dedicated electrical connections and/or via busbars. The processing module can be a central processing unit, a microprocessor, or any suitable processing element. If the computing device is a multi-processor device, that is, the computing device includes multiple processing modules, the processing modules included in the computing device are all the same or similar, and are coupled and communicated through a bus. The processing module can interpret a computer instruction or a series of multiple computer instructions to perform specific calculations or operations, such as mathematical operations, logical operations, data comparison, copying/moving data, etc., to drive other hardware in the computing device The components may run the operating system or execute various programs and/or modules.

Computing devices usually also contain one or more chipsets. The processing module of the computing device may be coupled to the chipset or electrically connected to the chipset through a bus. The chipset is composed of one or more integrated circuits (ICs), including memory controllers and peripheral input/output (I/O) controllers, that is, memory controllers and peripheral I/O controls. The device can be contained within a single integrated circuit, or it can be implemented using two or more integrated circuits. The chipset usually provides input/output and memory management functions, as well as multiple general-purpose and/or special-purpose registers, timers, etc., where the above-mentioned general-purpose and/or special-purpose registers and timers can be coupled or One or more processing modules electrically connected to the chipset for access or use.

The processing module of the computing device can also access data in the memory modules and mass storage areas installed on the computing device through the memory controller. The memory modules mentioned above include any type of volatile memory (volatile memory) and/or non-volatile memory (NVRAM) memory, such as Static Random Access Memory (SRAM) , dynamic random access memory (Dynamic Random Access Memory, DRAM), read-only memory (Read-Only Memory, ROM), flash memory (Flash memory), etc. The above-mentioned mass storage area can include any type of storage device or storage media, such as a hard drive, optical disc, flash drive, memory card, solid state disk , SSD), or any other storage device, etc. In other words, the memory controller can access data in static random access memory, dynamic random access memory, flash memory, hard disk drives, and solid state drives.

The processing module of the computing device can also connect and communicate with peripheral devices or interfaces such as peripheral output devices, peripheral input devices, communication interfaces, and GPS receivers through the peripheral I/O bus through the peripheral I/O controller. The peripheral input device can be any type of input device, such as keyboard, mouse, trackball, touch pad, joystick, etc. The peripheral output device can be any type of output device, such as a monitor, printer, etc. The peripheral input device It can also be the same device as the peripheral output device, such as a touch screen. The communication interface may include a wireless communication interface and/or a wired communication interface. The wireless communication interface may include support for wireless local area network (such as Wi-Fi, Zigbee, etc.), Bluetooth, infrared, near-field communication (NFC), The interface of mobile communication networks (cellular networks) or other wireless data transmission protocols such as 3G/4G/5G. The wired communication interface can be an Ethernet device, a DSL modem, a cable (Cable) modem, or asynchronous transmission. Mode (Asynchronous Transfer Mode, ATM) devices, or optical fiber communication interfaces and/or components, etc. The processing module can periodically poll various peripheral devices and interfaces, so that the computing device can input and output data through various peripheral devices and interfaces, and can also communicate with another computing device having the hardware components described above. Communicate.

Let's continue back to "Picture 1" for explanation.

The entrance service device 100 is responsible for calculating the checkout amount, selecting the cashier, and updating the waiting time at the cashier. The entrance service device 100 may include an identity acquisition module 110, a product scanning module 120, an entrance communication module 140, a cashier selection module 150, a waiting calculation module 160, and optional discounts as shown in "Figure 2". Query module 130, location acquisition module 170, purchase service module 180, time calculation module 190. Among them, the entrance service device 100 can be installed at the entrance of the checkout area (also represented by the "checkout entrance" in the present invention), so that all included modules are installed at the checkout entrance. The entrance service device 100 can also be divided into It is two or more parts. Among them, the part including the identity acquisition module 110 and the product scanning module 120 is set at the checkout entrance, and the other part can be set in the computer room or other locations. The present invention has no special limit.

The identity acquisition module 110 is responsible for obtaining identity recognition information. The identity acquisition module 110 can obtain the identity recognition information by reading the member identification information in the membership card of the shopper 400 or performing face recognition on the shopper 400 to obtain the biometric characteristics of the shopper 400. The present invention is not particularly limited.

The product scanning module 120 is responsible for obtaining product identification information of all products purchased by the shopper 400 . The product scanning module 120 can detect or read the product identification information in the electronic tag (tag) or chip set on the product through communication technologies such as RFID or near-end communication, and can also provide the shopper 400 to scan the purchased products one by one. The barcode on the product is used to obtain the product identification information, and the present invention has no special limitations.

The product scanning module 120 is also responsible for obtaining the product quantities of all products purchased by the shopper 400 . Generally speaking, the product scanning module 120 can accumulate the number of products based on the obtained product identification data, but the present invention is not limited to this.

The product scanning module 120 can also calculate the checkout amount based on the obtained product identification information. For example, the product scanning module 120 can read the product price corresponding to the obtained product identification data from a pre-established product price list, and add up the read product prices to generate the checkout amount. In some embodiments, you can also connect to the price query host or product sales host (not shown in the figure) through the portal communication module 140 to query the real-time price of the product represented by the obtained product identification data, but product scanning The method by which the module 120 obtains the product price is not limited to the above.

The discount query module 130 can query the discount information associated with the product identification data obtained by the product scanning module 120, that is, query the discount information of the product represented by the product identification data. The product scanning module 120 can be connected to the product sales host through the portal communication module 140 to query discount information, or can read the discount information associated with the product identification data from a pre-established discount information table. The present invention has no special limitations. .

The entrance communication module 140 is responsible for connecting with the cashier device 200, the customer service device 500 and other devices using wired or wireless communication technology to transmit data or signals to each other.

The portal communication module 140 can also obtain corresponding communication data based on the identity recognition data obtained by the identity obtaining module 110, and can send specific data to the user device used by the shopper 400 based on the obtained communication data (in the figure). not shown). Among them, communication data can be mobile phone numbers, email accounts, instant messaging accounts, application identification codes, etc.

The cashier selection module 150 is responsible for obtaining the waiting times of all cashiers. Generally speaking, the cashier selection module 150 can manage the waiting time of all cashiers, that is, when the waiting calculation module 160 or the time calculation module 190 generates a new waiting time for a specific cashier, the waiting time of the cashier Updated with newly generated waiting time.

The cashier selection module 150 is also responsible for selecting the cashier with the shortest waiting time, and can guide the shopper 400 to the selected cashier for checkout. The cashier selection module 150 can display the number of the selected cashier to guide the shopper 400 to the selected cashier, but the method of guiding the shopper by the cashier selection module 150 is not limited to the above.

In some embodiments, the cashier selection module 150 can also select a cashier based on the checkout habits of the shopper 400. In more detail, the cashier selection module 150 can connect to the historical transaction host through the portal communication module 140 to query and The checkout method used in recent transactions corresponding to the identification information obtained by the identity acquisition module 110, or query all transaction records corresponding to the identification information, and perform statistics on the transaction records to determine the most frequently used The checkout method used. After obtaining the checkout method, the cashier selection module 150 can select the cashier with the shortest waiting time from the cashiers that can settle the payment using the obtained checkout method.

The checkout selection module 150 can also adjust the checkout order of the shoppers 400 waiting at the same checkout counter, that is, adjust the checkout order of the product identification data corresponding to the identity identification data of the shopper 401 who is later in the checkout waiting order. Waiting order. For example, when receiving the checkout time calculated by the waiting calculation module 160, the cashier selection module 150 can determine whether the received checkout time is less than or equal to the current waiting time of the same cashier. If not, Then the checkout waiting sequence does not change. If so, the checkout waiting sequence of the shopper 401 who is originally ranked in the checkout waiting sequence can be inserted in front of the shopper 400 who is originally ranked in the checkout waiting sequence, so that the checkout waiting sequence can be The checkout waiting sequence of the shopper 401 who is ranked later is advanced, that is, the checkout waiting sequence of the shopper 400 who is previously ranked in the original checkout waiting sequence is exchanged with the checkout waiting sequence of another shopper 401 who is ranked later in order to avoid overflow at the checkout counter. Long wait.

The waiting calculation module 160 is responsible for obtaining the cashier unit time of each cashier. The waiting calculation module can query the cashier unit time corresponding to the cashier who logs in to the cashier device 200 from the pre-established cashier schedule, and can also connect to the historical transaction host through the portal communication module 140 to query the employee identification information of the cashier. The corresponding cashier unit time of all transactions; or the historical transaction host can query the cashier waiting time and product quantity of all transactions corresponding to the cashier's employee identification data, and calculate all the queried cashier waiting times divided by the number of products Statistical values such as mean or median to generate cashier unit time. Among them, the checkout waiting time mentioned in the present invention is the time required from the cashier starting to scan the product barcode to informing the shopper of the checkout amount, that is, the time the shopper waits for the cashier. In a practical example, the checkout waiting time is The time from when the cash register device 200 installed at the cash register obtains the identity identification information of the shopper 400 to when the checkout amount is generated.

The waiting calculation module 160 is also responsible for obtaining the payment delay time corresponding to the identity recognition information obtained by the identity obtaining module 110 . The waiting calculation module 160 can query the payment delay time corresponding to the identity recognition data from the pre-established payment delay schedule, or can connect to the historical transaction host through the portal communication module 140 to query the payment delay time corresponding to the identity recognition data. Payment delay time, and calculate the average or median of all queried payment delay times and other statistical values to generate the payment delay time.

The payment delay time mentioned in the present invention includes the time required for the shopper to complete the payment with cash or payment instrument, that is, the time the cashier waits for the shopper to pay. The waiting calculation module 160 can calculate the time from when the cashier device 200 obtains the identification information to when the checkout is completed as the payment delay time. In some embodiments, the payment delay time can also be analyzed by the monitoring device installed at the cashier (in the figure). (not shown) is generated from the surveillance images captured. More specifically, the waiting calculation module 160 can generate the surveillance images captured by the surveillance device installed at the checkout counter when the cashier device 200 obtains the identity recognition information. The frame performs image analysis processing operations such as edge detection, feature extraction, and feature comparison to determine the actions of the shopper in the surveillance image. The waiting calculation module 160 can pre-record various feature data, and each feature data table It is a possible action for payment, and can compare the similarity between the image features extracted by feature extraction and the recorded feature data. When the similarity reaches the threshold, it is judged that the shopper is paying and waiting for the calculation module 160 can determine that the shopper has completed the payment when the similarity between the image features of a certain number of consecutive frames in the surveillance image and the recorded feature data is lower than the threshold, and the cashier device 200 can obtain the identity recognition information to determine the purchase. The time when the shopper completes the payment is recorded as the payment delay time; the waiting calculation module 160 can also monitor each frame of the image to perform image analysis and processing operations such as edge detection and contour comparison to determine whether the shopper has left the checkout counter. The time from when the cashier device 200 obtains the identity recognition information to when it is determined that the shopper leaves the cashier is recorded as the payment delay time.

The waiting calculation module 160 is also responsible for calculating the waiting time at the checkout counter based on the obtained payment delay time and the obtained cashier unit time. Generally speaking, the waiting calculation module 160 can calculate the product of the obtained cashier unit time and the product quantity obtained by the product scanning module 120 and add the obtained payment delay time to generate the waiting time.

The waiting calculation module 160 may also obtain another payment delay time corresponding to the different identification information obtained by the identity obtaining module 110, another commodity quantity obtained by the product scanning module 120, and the obtained The cashier unit time calculates the checkout time in the same way as the waiting time, and the calculated checkout time can be provided to the cashier selection module 150 .

The location acquisition module 170 may obtain the devices of one or more customer service devices 500 when the additional purchase response received by the portal communication module 140 indicates the purchase of additional purchase products corresponding to the preferential information queried by the preferential query module 130 Location information. The device location information obtained by the location acquisition module 170 can represent the location of the customer service device 500 in the store, for example, it can be indoor positioning information in the store, the closest shelf number, etc., where the indoor positioning information can be obtained from the location. The module 170 detects the device identification data sent by each customer service device 500 to generate the shelf number. The shelf number can be detected or read by the customer service device 500 and then sent to the location acquisition module 170 together with the device identification data of the customer service device 500 .

The location acquisition module 170 may also store product location information for each product. The product location information obtained by the location acquisition module 170 can indicate the location of the product in the store, such as the shelf number and number of shelves placed. Since the method of obtaining the product location information of various products in the store is already known, no further description will be given.

The add-on service module 180 may select the customer service device 500 with the shortest distance from the add-on product based on the device location information of all customer service devices 500 and the product location information of the add-on product obtained by the location acquisition module 170 . In more detail, the additional purchase service module 180 may first determine the distance between each customer service device 500 and the additional purchase product based on the device location information of all customer service devices 500 and the product location information of the additional purchase product, and then based on the determined distance Select the customer service device 500. For example, the additional purchase service module 180 can determine the movement route of each customer service device 500 to the additional purchase product, and determine the number of shelves passed by the movement route or determine the actual distance of the movement route. However, the additional purchase service The way in which the module 180 determines the distance between the customer service device 500 and the purchased product is not limited to the above.

The time calculation module 190 may calculate the service time based on the distance between the customer service device 500 selected by the add-on service module 180 and the add-on product and the distance between the add-on product and the checkout counter selected by the cashier selection module 150 . For example, if the customer service device 500 is a portable device carried by the service staff, the time calculation module 190 can calculate the distance between the customer service device 500 and the additional purchase product and the distance between the additional purchase product and the checkout counter divided by The average walking speed of humans or the average picking speed of the service personnel is used to generate the service time, but the present invention is not limited thereto.

The time calculation module 190 can also determine whether the calculated service time is greater than the waiting time at the checkout counter calculated by the waiting calculation module 160. When the service time is greater than the waiting time, the service time is provided to the cashier selection module 150.

The cashier device 200 is installed at the cashier counter, and can generate additional purchase prompts for additional purchases of goods, and can calculate the checkout amount. Also as shown in "Figure 2", the cashier device 200 may include a cashier communication module 210, an identity recognition module 230, and a service prompt module 250.

The cashier communication module 210 can be connected to the entrance service device 100 and exchange data or signals with the entrance service device 100, for example, receiving the identity identification information and the product identification information of additional purchased goods sent by the entrance service device 100.

The identity recognition module 230 can obtain the identity recognition information of the shopper 400. The identity recognition module 230 can read the member identification information in the membership card of the shopper 400 or perform face recognition on the shopper 400 to obtain the biometrics of the shopper 400. The present invention has no special restrictions on obtaining identity identification information through characteristics and other methods.

The service prompt module 250 can determine the identity recognition data obtained by the identity recognition module 230 and generate additional purchase prompts when selecting additional products, and can obtain the price of the purchased product and the additional settlement amount based on the product identification data.

Next, an embodiment will be used to explain the operating system and method of the present invention, and please refer to "Figure 3A" for the flow chart of the method of evaluating waiting time based on purchased goods and shopper checkout delays according to the present invention.

When the shopper 400 completes shopping in the store and wants to go to the checkout counter and walks to the checkout entrance, the identity acquisition module 110 of the entrance service device 100 installed at the checkout entrance can obtain the identity identification information of the shopper 400 (step 310 ). In this embodiment, it is assumed that the identity acquisition module 110 can scan the membership card of the shopper 400 to obtain the membership number of the shopper 400 .

Similarly, when the shopper 400 walks to the checkout entrance, the product scanning module 120 of the entrance service device 100 installed at the checkout entrance can obtain the product identification information of all the products purchased by the shopper 400, and can obtain the product identification information of the shopper 400. The item quantity of all items purchased (step 320). In this embodiment, it is assumed that the product scanning module 120 can obtain product identification information through RFID or near-end communication, and count the obtained product identification information to generate the product quantity.

Similarly, when the shopper 400 walks to the checkout entrance, the checkout selection module 150 of the entrance service device 100 can obtain the waiting time of all checkout counters that provide checkout services, and select the checkout counter with the shortest waiting time (step 330). In this embodiment, it is assumed that the cashier selection module 150 can read the waiting time of each cashier from the maintained waiting schedule.

In practice, the identity acquisition module 110 obtains the identity identification information of the shopper 400 (step 310), the product scanning module 120 obtains the product identification information (step 320), and the cashier selection module 150 selects the checkout counter with the shortest waiting time (step 320). 330) There is no order of precedence.

After the identity acquisition module 110 obtains the identity identification data of the shopper 400 (step 310), the product scanning module 120 obtains the product identification data (step 320), and the cashier selection module 150 selects the cashier (step 330), the entrance service device The waiting calculation module 160 of 100 can obtain the payment delay time corresponding to the identity recognition data obtained by the identity acquisition module 110 (step 351), and can also obtain the cashier unit time of the cashier selected by the cashier selection module 150 (step 351). 353), and calculate the waiting time of the cashier selected by the cashier selection module 150 based on the obtained payment delay time and cashier unit time (step 355), and provide the calculated waiting time to the cashier selection module 150 , causing the cashier selection module 150 to update the waiting time of the selected cashier. In this embodiment, it is assumed that the waiting calculation module 160 can first query whether the payment delay time corresponding to the identity recognition data is stored in a pre-created file or database, and if so, it can read out the payment delay time. If not, it can connect Go to the historical transaction host to query the payment delay time; similarly, the waiting calculation module 160 can also first query whether the cashier unit time of the selected cashier is stored in a pre-suggested file or database, and if so, read the cashier unit time. If not, you can connect to the historical transaction host to query the cashier unit time.

In this way, through the present invention, when the shopper wants to check out, the checkout counter with the shortest waiting time can be selected for the shopper.

In the above embodiment, as shown in the process of "Figure 3B", after the product scanning module 120 obtains the product identification information (step 320), the discount query module 130 of the entrance service device 100 can query the product scanning module. Set the preferential information associated with the product identification data obtained by the group 120 (step 361). The portal communication module 140 can transmit the preferential information queried by the preferential query module 130 to the identity acquisition module 110 of the portal service device 100. The user device corresponding to the identification data (step 367). For example, the portal communication module 140 can obtain the communication information of the shopper 400 based on the identity recognition information, and send preferential information to the website used by the shopper 400 through SMS, instant messaging, email, push broadcast, etc. based on the obtained communication information. User device.

After the portal communication module 140 of the portal service device 100 transmits the discount information to the user device, if the portal communication module 140 receives the purchase response returned by the user device, the location acquisition module 170 of the portal service device 100 It can be determined whether the additional purchase response represents the purchase of the additional purchase product corresponding to the discount information. If not, the location acquisition module 170 will end execution. If the additional purchase response represents the purchase of the additional purchase product, the location acquisition module 170 can obtain the additional purchase product. The product location information of the purchased product and the device location information of all customer service devices 500 (step 371). The additional purchase service module 180 of the portal service device 100 can select based on the product location information and device location information obtained by the location acquisition module 170. The customer service device 500 with the shortest distance from the purchased product can transmit the product identification data of the purchased product to the selected customer service device 500 (step 375), so that the customer service device 500 may hold the service of the customer service device 500 The personnel obtains the add-on merchandise and delivers the add-on merchandise to the checkout counter selected by the checkout selection module 150 .

Similarly, after the additional purchase service module 180 of the entrance service device 100 can select the customer service device 500 with the shortest distance from the additional purchase product based on the product location information and device location information obtained by the location acquisition module 170, the time of the entrance service device 100 The calculation module 190 can calculate the service time (step 381) based on the distance between the additional purchase product and the selected customer service device 500 and the distance between the additional purchase product and the selected cashier, and can determine whether the service time is greater than the selected value. When the waiting time of the cashier is greater than the waiting time of the selected cashier, the service time is provided to the cashier selection module 150 so that the cashier selection module 150 updates the waiting time of the selected cashier (step 385 ).

In addition, when the time calculation module 190 of the entrance service device 100 determines that the calculated service time of the shopper 400 is greater than the waiting time of the checkout counter selected by the cashier service module, the identity acquisition module 110 of the entrance service device 100 The identity identification information of another shopper 401 who is placed behind the shopper 400 after checkout can be obtained. The product scanning module 120 of the entrance service device 100 can obtain the identity information of another shopper 401 who is placed behind the shopper 400 after checkout. For the quantity of goods purchased by a shopper 401, the waiting calculation module 160 of the entrance service device 100 can obtain another payment delay time corresponding to another identity recognition data obtained by the identity acquisition module 110, and scan the goods based on the quantity of the goods. The module 120 obtains another product quantity and obtains another payment delay time and cashier unit time to calculate the checkout time of another shopper 401. The cashier selection module 150 can determine the checkout time calculated by the waiting calculation module 160. When the checkout time is less than or equal to the current waiting time at the checkout counter, the post-checkout order of other product identification data corresponding to another identity identification data is adjusted, that is, the checkout device 200 of the checkout counter obtains the information from another shopper first. 401's identification data is used to calculate the product identification data of the purchased product, and the checkout amount is calculated, so that while the shopper 400 is waiting to purchase additional products, priority is given to serving another shopper 401 who is behind the shopper in the checkout waiting order.

In summary, it can be seen that the difference between the present invention and the prior art is that after obtaining the shopper's payment delay time with the shopper's identity identification data and selecting the cashier unit time of the cashier with the shortest current waiting time, based on the payment delay time and The technical means of updating the waiting time of the selected cashier by the cashier unit time can solve the problem of the inability to effectively measure the queuing time in the previous technology through this technical means, thereby achieving the technical effect of accurately assessing the checkout waiting time.

Furthermore, the method of evaluating waiting time based on purchased goods and shopper checkout delays of the present invention can be implemented in hardware, software, or a combination of hardware and software. It can also be implemented in a centralized manner in a computer system or in different ways. Implemented in a decentralized manner with components spread across several interconnected computer systems.

Although the embodiments of the present invention are disclosed above, the content described is not intended to directly limit the scope of patent protection of the present invention. Anyone with ordinary knowledge in the technical field to which the present invention belongs can make slight modifications and modifications to the form and details of the implementation of the present invention without departing from the spirit and scope disclosed by the present invention, which shall fall under the patent protection of the present invention. Scope. The scope of patent protection for this invention must still be defined by the scope of the attached patent application.

100: Entrance service device 110:Identity acquisition module 120: Product scanning module 130: Discount query module 140: Entrance communication module 150: Cashier selection module 160: Waiting for calculation module 170: Position acquisition module 180:Purchase service module 190: Time calculation module 200:Cash register device 210: Cashier communication module 230:Identity recognition module 250:Service prompt module 400, 401: Shopper 500:Customer service device Step 310: Obtain identification information at the checkout entrance Step 320: Obtain the product identification information and product quantity corresponding to the identification information at the checkout entrance. Step 330: Obtain the waiting times of multiple cashiers and select the cashier with the shortest waiting time. Step 351: Obtain the payment delay time corresponding to the identification information Step 353: Obtain the cashier unit time of the selected cashier Step 355: Calculate the waiting time of the selected cashier based on the payment delay time, product quantity and cashier unit time Step 361: Query the discount information associated with the product identification data Step 367: Send promotional information to the user device corresponding to the identification data Step 371: Determine that the additional purchase response sent by the user device indicates that the additional purchase product corresponding to the promotional information is purchased, and obtain the device location information of the customer service device. Step 375: Select and transmit the product identification data of the additional purchase product to the customer service device with the shortest distance from the additional purchase product based on the device location information and the product location information of the additional purchase product. Step 381: Calculate the service time based on the distance between the additional purchase product and the selected customer service device and the distance between the additional purchase product and the selected cashier. Step 385: When it is determined that the service time is greater than the waiting time of the selected cashier, update the waiting time of the selected cashier to the service time.

Figure 1 is a system architecture diagram for evaluating waiting time based on purchased goods and shopper checkout delays according to the present invention. Figure 2 is a schematic diagram of components of an entrance service device for evaluating waiting time based on purchased goods and shopper checkout delays according to the present invention. Figure 3A is a flowchart of the method of evaluating waiting time based on purchased goods and shopper checkout delays according to the present invention. Figure 3B is a flow chart of the method for updating the waiting time when purchasing additional products according to the present invention.

Step 310: Obtain identification information at the checkout entrance

Step 320: Obtain the product identification information and product quantity corresponding to the identification information at the checkout entrance.

Step 330: Obtain the waiting times of multiple cashiers and select the cashier with the shortest waiting time.

Step 351: Obtain the payment delay time corresponding to the identification information

Step 353: Obtain the cashier unit time of the selected cashier

Step 355: Calculate the waiting time of the selected cashier based on the payment delay time, product quantity and cashier unit time

Claims (10)

A method of evaluating waiting time based on purchased goods and shopper checkout delays. The method at least includes the following steps: Obtaining an identification data at a checkout entrance, and obtaining communication information based on the identification information; Obtain at least one product identification data and a product quantity corresponding to the identification data; query the preferential information associated with the at least one product identification data, and send the preferential information to the one corresponding to the identification data based on the communication data The user device; obtains the waiting times of multiple checkouts, and selects the checkout with the shortest waiting time; receives an add-on purchase response sent by the user device, and determines that the add-on purchase response represents a purchase and the promotional information When a corresponding additional product is purchased, the device location information of at least one customer service device is obtained; and based on the at least one device location information and the product location information of the additional purchase product, the product identification data of the additional purchase product is selected to be sent to the device associated with the additional purchase product. The at least one customer service device with the shortest distance to purchase the product; calculate a service time based on the distance between the additional purchase product and the selected customer service device and the distance between the additional purchase product and the selected cashier; obtain the identity Identify the payment delay time corresponding to the data; obtain the cashier unit time of the selected cashier; calculate the waiting time of the selected cashier based on the payment delay time, the product quantity and the cashier unit time; and When it is determined that the service time is greater than the waiting time of the selected cashier, the waiting time of the selected cashier is updated to the service time. The method of evaluating waiting time based on purchased goods and shopper checkout delays as described in claim 1, wherein the step of obtaining the cashier unit time of the selected cashier is obtained based on one of the cashier devices of the selected cashier. The checkout waiting time is generated from the identification information of a shopper to the time when the checkout amount is generated, and the step of obtaining the payment delay time corresponding to the identification information is to analyze a surveillance image to determine based on the analysis results of the surveillance image Whether the shopper has completed checkout, and the payment delay time is calculated from the time when the cash register device obtains the identification information to the time when the shopper completes checkout. The method of evaluating waiting time based on purchased goods and shopper checkout delays as described in request item 1, wherein the method further includes calculating the checkout waiting sequence after the step of calculating the waiting time of the selected checkout counter. When the latter shopper's checkout time is determined to be less than or equal to the waiting time of the selected checkout counter, the shopper's checkout waiting sequence will be inserted into the previous checkout waiting sequence. Before another shopper. The method of evaluating waiting time based on purchased goods and shopper checkout delays as described in request item 1, wherein the method further includes obtaining the checkout after determining that the service time is greater than the waiting time of the selected checkout counter. The other identification information, the quantity of another product, and the other payment delay time corresponding to the other identification information are arranged later in the order, and based on the other payment delay time, the quantity of the other product, and the other payment delay time. The cashier unit time calculates a checkout time, and adjusts the checkout sequence of other product identification data corresponding to the other identification data when it is judged that the checkout time is less than or equal to the waiting time. The method of evaluating waiting time based on purchased goods and shopper checkout delays as described in Request 1, wherein the step of selecting the checkout counter with the shortest current waiting time further includes selecting one of the checkout methods that matches the identification information. The steps at the checkout. A system for evaluating waiting time based on purchased goods and shopper checkout delays. The system at least includes: an identity acquisition module, located at a checkout entrance, to obtain identity recognition information; a product scanning module, located at a checkout entrance. The checkout portal is used to obtain at least one product identification data and a product quantity corresponding to the identity recognition data; a discount query module is used to query discount information associated with the at least one product identification data; a portal communication A module for obtaining communication data based on the identity recognition data, and sending the promotional information to a user device corresponding to the identity recognition data based on the communication data; a location acquisition module for using the portal communication module When the group receives an add-on response sent by the user device to indicate the purchase of an add-on product corresponding to the discount information, the group obtains the device location information of at least one customer service device; an add-on service module is used to act according to the The at least one device location information and the product location information of the additional purchase product are selected to select the at least one customer service device with the shortest distance from the additional purchase product, and transmit the product identification data of the additional purchase product to the target through the portal communication module. A selected customer service device; a cashier selection module used to obtain the waiting times of multiple cashiers and select the cashier with the shortest waiting time; A waiting calculation module is used to obtain the payment delay time corresponding to the identity recognition information and the cashier unit time of the selected cashier, and calculate the payment delay time, the product quantity and the cashier unit time based on the payment delay time, the product quantity and the cashier unit time The waiting time of the selected checkout counter; and a time calculation module for calculating a time based on the distance between the additional purchase product and the selected customer service device and the distance between the additional purchase product and the selected checkout counter. The service time is determined to be greater than the waiting time of the selected cashier, and the waiting time of the selected cashier is updated to the service time. As described in claim 6, the system for evaluating waiting time based on purchased goods and shopper checkout delays, wherein the checkout selection module is further used to determine that the checkout time calculated by the waiting calculation module is less than or equal to the calculated checkout time. When the waiting time at the checkout counter is selected, the checkout waiting sequence of the shopper who is behind in the checkout waiting sequence is inserted before the checkout waiting sequence of another shopper who is ahead in the checkout waiting sequence. The system for evaluating waiting time based on purchased goods and shopper checkout delays as described in request 6, wherein the waiting calculation module obtains the identity identification information of a shopper based on a cashier device of the selected cashier. The checkout waiting time is generated when the checkout amount is generated, and a surveillance image is analyzed to determine whether the shopper has completed checkout based on the analysis result of the surveillance image, and the time from which the checkout device obtains the identity recognition information to the shopper is calculated. The time it takes to complete checkout is the payment delay time. The system for evaluating waiting time based on purchased goods and shopper checkout delays as described in request 6, wherein the identity acquisition module, the product scanning module, and the waiting calculation module are further used to calculate the module at the time When it is judged that the service time is greater than the waiting time of the selected cashier, obtain another identification information, another product quantity, and another identification information corresponding to the other identification information after checkout, etc. The payment delay time, the waiting calculation module is further used to calculate the payment delay time based on the other payment delay time. The late time, the quantity of the other product and the cashier unit time are used to calculate a checkout time, and the cashier selection module is further used to determine that the checkout time is less than or equal to the waiting time to adjust the checkout time corresponding to the other identification information. Other product identification information is required after checkout. The system for evaluating waiting time based on purchased goods and shopper checkout delays as described in request 6, wherein the checkout selection module is further configured to select the current wait time from the at least one checkout counter whose checkout method matches the identification information. One of the shortest times at the checkout.

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