KR102077805B1 - apparatus for analyzing the purchasing behavior pattern of client and Driving method thereof - Google Patents

Abstract

According to one embodiment of the present invention, an apparatus for analyzing a buying behavior pattern of a customer using multiple sensors comprises: a sensor unit including a plurality of first sensors installed in a first area of a product display stand in a store and a plurality of second sensors installed in a second area; a control unit which is installed in the product display stand, controls operations of the first sensors and the second sensors, and provides detection information and operation state information of the first sensors and the second sensors; and an information processing unit configured to predict and analyze pickup information about products displayed on the product display stand based on detection information of each of the first sensors and the second sensors and a purchasing behavior of a buyer located at the product display stand. The control unit and the information processing unit are connected with each other through transmission control protocol (TCP)/Internet protocol (IP). The first sensors are passive infrared sensors for sensing a customer visiting the store and the second sensors are laser distance sensors for detecting pick-up and pick-down of the products. The first area is an intermediate area of a front surface of the product display stand and the second area is a bottom area of a display plate of the product display stand. According to the present invention, it is possible to easily identify products that a buyer desires to buy by analyzing a buying behavior pattern.

Description

Apparatus for analyzing the purchasing behavior pattern of client and driving method

The present invention relates to an apparatus for analyzing purchase behavior patterns using multiple sensors and a method of operating the same.

In general, the products displayed on the shelves of the stores are mostly classified according to the type of goods or the most popular products are displayed.

In addition, the stalls that are displayed mainly on popular items are mainly placed in the consumer's line.

However, it is rather difficult to define popular products because each person's taste is different. A popular item usually means a product that has been selling for a certain period of time.

This means that a consumer who wants to purchase a product other than the popular product may have a narrower choice of a desired product.

In addition, non-popular products that are not popular items in such stores are likely to be placed in relatively inconspicuous places (stations), which is also a cause of a decrease in sales volume of unpopular products or unknown products.

Therefore, on the basis of the consumption behavior of the buyer who purchases the goods in the store, it is possible to display the goods of the store and provide the goods information suitable for the buyer in the store, and to make the purchase behavior information of the personal perspective more data, and to analyze / use In addition, there is a need for an apparatus and method for quantifying offline data that is not quantified to enable more scientific supply, provision, and promotion to provide marketing information to buyers.

Patent Publication No. 10-1759910

An object of the present invention is to provide a behavior pattern analysis apparatus using a multi-sensor and its operation method that can solve the conventional problems.

According to an embodiment of the present invention, a purchase behavior pattern analysis apparatus using multiple sensors may include a plurality of first sensors provided in a first region of a merchandise display rack and a plurality of agents provided in a second region. A sensor unit consisting of two sensors; A control unit provided in the merchandise display stand to control operations of the first sensor and the second sensor and to provide detection information and operation state information of the first sensor and the second sensor; And an information processing unit configured to predict and analyze the pickup information of the goods displayed on the merchandise display rack and the purchase behavior of a store customer located on the merchandise display rack based on the detection information of each of the first sensor and the second sensor. The information collecting unit for collecting the measurement information of the sensor unit provided in the merchandise display stand in the store; If the sensing counts of the plurality of first sensors are different, the shop customer located on the merchandise display rack is first determined as a purchase prospective customer, and the pickup and pick-up of the goods detected from the plurality of second sensors are performed. A behavior pattern analysis unit for secondly determining, as a prospective customer, a store customer located on a merchandise display rack based on a detection result of detecting a down state; And a content providing unit configured to generate and provide a suitable product category to the prospective customer based on the purchase behavior pattern of the prospective customer determined by the behavior pattern analyzer, wherein the control unit and the information processing unit are TCP. / IP (Internet Protocol),
The first sensor is a passive infrared sensor for detecting a store customer of the store, and the second sensor is a laser distance detection for detecting pick up and pick down of the product. Is a multi-sensor,
The first region may be an intermediate region of the front portion of the merchandise display rack, and the second region may be a bottom region of the display board of the merchandise display rack.

delete

In one embodiment, the merchandise display rack further includes a terminal recognition unit for recognizing the terminal of the purchase scheduler located in the merchandise display rack, the terminal recognition unit receives the product category generated from the information processing unit, the purchase Send to the terminal of the intended customer.

In one embodiment, the information processing unit further comprises a monitoring unit for monitoring the operation state information of the sensor.

delete

According to the present invention, by analyzing the purchase behavior pattern of the purchaser, it is possible to easily grasp the goods that the buyer wants or has a curiosity, and through this information or goods of the goods that the buyer or purchaser wants or has curiosity There is an advantage in that it can provide information of additional commodities that can be associated with the class.

In addition, the store associate has an advantage that the product display and product planning can be more systematically designed based on the purchase behavior pattern of the buyer or prospective buyer.

1 is a block diagram illustrating an apparatus for analyzing a behavior pattern using multiple sensors according to an exemplary embodiment of the present invention.
FIG. 2 is a block diagram showing the configuration of the information processing unit shown in FIG.
3 is an exemplary diagram for describing a sensing pattern of the first sensor illustrated in FIG. 1.
4 is a diagram illustrating a sensing pattern of the first sensor illustrated in FIG. 3.
FIG. 5 illustrates another exemplary sensing pattern of the first sensor illustrated in FIG. 3.
6 and 7 are exemplary diagrams for describing a sensing pattern of the second sensor illustrated in FIG. 1.
8 is a flowchart illustrating a method of operating a behavior pattern analyzing apparatus using multiple sensors according to an embodiment of the present invention.
9 illustrates an example computing environment in which one or more embodiments disclosed herein may be implemented.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, this means that it may further include other components, except to exclude other components unless otherwise stated.

Hereinafter, an apparatus and method for analyzing purchase behavior patterns using multiple sensors according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of a purchase behavior pattern analysis apparatus using multiple sensors according to an embodiment of the present invention.

As shown in FIG. 1, the purchase behavior pattern analysis apparatus 100 using multiple sensors according to an exemplary embodiment of the present invention may include a sensor unit 110, a controller 120, an information processor 130, and a terminal recognizer ( 140).

The sensor unit 110 may include a plurality of Passive Infrared Sensors (Pn) and a plurality of Infrared Distance Sensors (Dn).

The human body sensor P1 to Pn and the infrared distance sensor D1 to Dn are disposed on the shelves of the merchandise display shelf at regular intervals vertically and horizontally, and are attached through magnetic materials.

Here, the human body sensors P1 to Pn may be attached to the front part of the shelf, and may be a sensor for detecting a person entering into a predetermined distance (about 1 m).

The laser distance sensor Dn may be a sensor that is disposed vertically or horizontally on the back of the shelf and detects movement of the displayed goods.

That is, the sensor may detect whether an object located at a preset sensing radius is located within a sensing range.

Therefore, the laser distance sensor Dn may be a sensor for checking whether a product is picked up by a store customer.

The detection time (count value) of the human body sensor Pn is provided to the information processing unit 130 to be described later, and is used as basic data for determining whether the customer is a provisional customer of the product reflected on the merchandise display stand.

The controller 120 controls the operations (on / off) of the plurality of sensors Pn and Dn in the sensor unit 110. In addition, the control unit 120 may include a communication unit (not shown) which receives sensing values of the plurality of sensors Pn and Dn in the sensor unit 110 and provides them to the information processing unit 130. (Not shown) and the information processing unit 130 may be connected by Transmission Control Protocol (TCP) / IP (Internet Protocol).

The controller 120 determines whether the plurality of sensors Pn and Dn in the sensor unit 110 are abnormal in operation, and when it is determined that the operation is abnormal, the controller 120 controls the operation of the sensor determined to be in operation to be off, and The ID and error message of the sensor may be provided to a monitoring unit (not shown) of the information processing unit 130.

Next, the information processor 130 may include an information collector 131, a behavior pattern analyzer 132, a content provider 133, and a DB 134.

The information collecting unit 131 collects sensing information and operation state information of the plurality of sensors Pn and Dn in the sensor unit 110 installed in each of the plurality of product display racks provided in the store.

The behavior pattern analysis unit 132 processes sensing information of a plurality of sensors Pn and Dn into pattern information, and then analyzes purchase behavior patterns of stores customers moving in stores based on the processed pattern information. do.

The behavior pattern analyzer 132 may include a sensing pattern processor 132-1, a first determiner 132-2, and a second determiner 132-3.

The sensing pattern processing unit 132-1 processes measurement information of the plurality of sensors Pn and Dn in the sensor unit 110 installed in each of the plurality of merchandise display shelves into a first sensing pattern and a second sensing pattern.

The first determination unit 132-1 determines (predicts) whether or not a purchaser of a product reflected in the corresponding product display stand is based on the sensing patterns of the plurality of first sensors Pn provided in each product display stand.

For example, referring to FIGS. 3 and 4, it is assumed that five first sensors P1, P2, P3, P4, P5, and P6 are disposed on the merchandise display rack and the merchandise is moved due to the movement of the store customer moving the merchandise display rack. When the five first sensors of the display rack generate a sensing pattern in a predetermined time interval (for example, P1 → P2 → P3 → P4 → P5 → P6), the first determination unit 132-1 determines the corresponding store customer. Judging by non-purchasing customers.

3 and 5, when the sensing counts of the five first sensors of the merchandise shelf are different or the sensing pattern is the reciprocating pattern, the first determination unit 132-1 may be a primary purchaser. And the activation signal is output.

In more detail, P1 and P2 are sensed for the first time, P3 and P4 are sensed for the second time, P5 and P6 are sensed for the third time, P4 and P3 are sensed for the second time, When a sensing pattern in which P2 and P1 are sensed for a fourth time is generated, the first time and the third time are longer than the second time, and the fourth time is longer than the third time, the first determination unit 132-1 Is primarily judged as a prospective customer of jade products on the merchandise display.

The second determination unit 132-2 is operated based on the activation signal of the first determination unit 132-1, and sensed value of the second sensor Dn of the merchandise display stand from the information collecting unit 131. Based on the sensing pattern), the second judgment is made either as a purchaser or a prospective customer.

For example, when the store customer is located at P1 and P2, when picking up and picking down the goods in the A goods display compartment, the second sensor Dn located at the top of the A goods display compartment is used to pick up goods and It detects whether the pick-down (pick down), and determines the purchase customer and the prospective customer based on the detection result.

For example, referring to FIG. 8, as shown in FIG. 7, the sensing pattern of the second sensor is generated. Finally, when the sensing value of Dn is equal to the threshold, the store customer is determined to be a purchase customer of the A-1 product.

The content providing unit 133 provides content information suitable for the purchase customer and the prospective customer determined by the behavior pattern analyzer 132.

The DB 134 classifies and stores the purchase behavior patterns of the purchaser and the prospective customer in association with the goods picked up and picked down by the purchaser or the prospective buyer based on the first sensing pattern and the second sensing pattern. Here, the stored purchasing behavior pattern may be used as basic data of merchandise display and product planning to the manager of the store.

The terminal is, for example, a wireless communication device that guarantees portability and mobility, and includes a navigation, a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC), and a personal handyphone system (PHS). , Personal Digital Assistant (PDA), International Mobile Telecommunication (IMT) -2000, Code Division Multiple Access (CDMA) -2000, WCode Division Multiple Access (W-CDMA), Wireless Broadband Internet (WBRO) terminals, Smartphones Handheld-based wireless communication devices such as smart pads, tablet PCs, and the like.

8 is a flowchart illustrating a method of operating a purchase behavior pattern analysis apparatus using multiple sensors according to an embodiment of the present invention.

Referring to FIG. 8, an operation method S700 of a purchase behavior pattern analyzing apparatus using multiple sensors according to an embodiment of the present invention may include a first sensing pattern which is operation information of a plurality of first sensors Pn of a merchandise display rack. Based on the behavior pattern analysis unit 132 of the information processing unit 130 predicts the prospective purchase customers (S710).

Subsequently, when the expected purchase customer is predicted (determined) in step S710, the behavior pattern analyzer of the information processor 130 is based on the second sensing pattern which is operation information of the plurality of second sensors Dn of the corresponding merchandise display rack. In step 132, the store customer is determined to be a purchase customer or a purchase customer (S720).

Thereafter, based on the first sensing pattern and the second sensing pattern, the purchase behavior patterns of the purchaser and the prospective customer are classified and stored in association with the goods.

The information processing unit 130 generates a product category suitable for the prospective customer based on the purchase behavior pattern of the prospective customer determined by the behavior pattern analyzer 132 and provides the terminal to the terminal recognition unit 140 (S740).

The terminal recognizer 140 provides the product category generated by the content provider 133 to the terminal of the purchaser.

By analyzing the purchase behavior pattern of the prospective purchaser, it is easy to identify the product that the buyer wants or is curious about, so that the information or product of the product which the buyer or prospective buyer wants or is curious about is added. There is an advantage that can provide information of goods.

In addition, the store associate has an advantage that the product display and product planning can be more systematically designed based on the purchase behavior pattern of the buyer or prospective buyer.

9 illustrates an example computing environment in which one or more embodiments disclosed herein may be implemented, illustrating an example of a system 1000 that includes a computing device 1100 configured to implement one or more embodiments described above. Shows. For example, computing device 1100 may be a personal computer, server computer, handheld or laptop device, mobile device (mobile phone, PDA, media player, etc.), multiprocessor system, consumer electronics, mini computer, mainframe computer, Distributed computing environments, including, but not limited to, any of the systems or devices described above.

The computing device 1100 may include at least one processing unit 1110 and a memory 1120. The processing unit 1110 may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application specific integrated circuit (ASIC), field programmable gate arrays (FPGA), and the like. It may have a plurality of cores. The memory 1120 may be volatile memory (eg, RAM, etc.), nonvolatile memory (eg, ROM, flash memory, etc.), or a combination thereof. In addition, computing device 1100 may include additional storage 1130. Storage 1130 includes, but is not limited to magnetic storage, optical storage, and the like. The storage 1130 may store computer readable instructions for implementing one or more embodiments disclosed herein, and other computer readable instructions for implementing an operating system, an application program, and the like. Computer readable instructions stored in storage 1130 may be loaded into memory 1120 for execution by processing unit 1110. In addition, computing device 1100 may include input device (s) 1140 and output device (s) 1150.

Here, input device (s) 1140 may include, for example, a keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, or any other input device. Also, output device (s) 1150 may include, for example, one or more displays, speakers, printers, or any other output device. In addition, computing device 1100 may use an input device or output device included in another computing device as input device (s) 1140 or output device (s) 1150.

In addition, computing device 1100 may include communication connection (s) 1160 that enable computing device 1100 to communicate with another device (eg, computing device 1300).

Here, the communication connection (s) 1160 may be a modem, a network interface card (NIC), an integrated network interface, a radio frequency transmitter / receiver, an infrared port, a USB connection, or other for connecting the computing device 1100 to another computing device. It may include an interface. In addition, communication connection (s) 1160 may include a wired connection or a wireless connection. Each component of the computing device 1100 described above may be connected by various interconnections such as a bus (eg, peripheral component interconnect (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.). And may be interconnected by the network 1200. As used herein, terms such as "component", "system" and the like generally refer to a computer-related entity that is hardware, a combination of hardware and software, software, or running software.

For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. For example, both an application running on a controller and the controller can be a component. One or more components may reside within a thread of processes and / or execution, and the components may be localized on one computer and distributed between two or more computers.

The present invention is not limited by the above-described embodiment and the accompanying drawings. For those of ordinary skill in the art to which the present invention pertains, it will be apparent that other components of the present invention may be substituted, modified, and changed without departing from the technical spirit of the present invention.

100: purchase behavior pattern analysis device using multiple sensors
110: sensor unit
120: control unit
130: information processing unit
131: information collector
132: behavior pattern analysis unit
131-1: Sensing pattern processing part
132-2: first judgment unit
132-3: Second Judgment Unit
133: content provider
134: DB
140: terminal recognition unit

Claims (5)

A sensor unit including a plurality of first sensors provided in a first area of a merchandise display rack in a store and a plurality of second sensors provided in a second area;
A control unit provided in the merchandise display stand to control operations of the first sensor and the second sensor and to provide detection information and operation state information of the first sensor and the second sensor;
An information processing unit for predicting and analyzing the pick-up information of the goods displayed on the merchandise display rack and the purchase behavior of the store customer located on the merchandise display rack based on the detection information of each of the first sensor and the second sensor;
The information processing unit
An information collection unit for collecting measurement information of a sensor unit provided in the merchandise display rack in the store;
If the sensing counts of the plurality of first sensors are different, the shop customer located in the merchandise display rack is primarily determined as a purchase prospective customer, and the pickup and pick-up of the goods detected from the plurality of second sensors are performed. A behavior pattern analysis unit for secondly determining, as a prospective customer, a store customer located on a merchandise display rack based on a detection result of detecting a down state; And
And a content provider configured to generate and provide a product category suitable for the prospective customer based on the purchase behavior pattern of the prospective customer determined by the behavior pattern analyzer.
The control unit and the information processing unit are connected by Transmission Control Protocol (TCP) / IP (Internet Protocol),
The first sensor is a passive infrared sensor for detecting a store customer of the store, and the second sensor is a laser distance detection for detecting pick up and pick down of the product. Is a multi-sensor,
The first region is the middle region of the front portion of the merchandise display rack, the second region is a purchase behavior pattern analysis device using a multi-sensor is the bottom area of the display panel of the merchandise display rack.
delete The method of claim 1,
The merchandise display rack
Further comprising a terminal recognition unit for recognizing the terminal of the buyer scheduled to be located in the merchandise display for a predetermined time,
The terminal recognition unit receives a product category generated from the information processing unit, the purchase behavior pattern analysis apparatus using a multi-sensor for transmitting to the terminal of the prospective customer.
The method of claim 1,
The information processing unit
Purchasing behavior pattern analysis apparatus using a multiple sensor further comprising a monitoring unit for monitoring the operation state information of the sensor.
delete

Images