TWM622424U - Customer shopping intention and recommendation analysis system - Google Patents

Abstract

A customer shopping intention & recommendation analysis system includes: a member information server. The member information server includes a data cleaning device, an information analysis device, a recommendation device, and a terminal equipment management device. The data cleaning device receives a plurality of shopping information. And, the shopping information corresponds to a respective product code. The information analysis device analyzes product information corresponding to each product code through a plurality of artificial intelligence models. Each of the product information includes a customer label. The recommending device sends a promotion message corresponding to the customer labels. The terminal equipment management device receives these promotional messages, and plays an advertisement image corresponding to these promotional messages on a display, or prompts a printer to print out a coupon corresponding to these promotional messages.

Description

Consumer shopping intention and recommendation analysis system

The present invention relates to an analysis system, in particular to a consumer shopping intention and recommendation analysis system suitable for analyzing consumer behavior.

Traditionally, consumers' shopping behavior is usually to search for product information first, so that consumers can know the product through media such as online advertisements, TV advertisements, outdoor advertisements (such as billboards), word-of-mouth among relatives and friends, leaflets... etc. After consumers know the product information, they go to the physical store to buy.

However, these media cannot accurately recommend products to precisely positioned target customers. Therefore, how to accurately recommend products to precisely positioned target customers is one of the problems to be improved in this field.

In order to solve the above problems, one aspect of the present disclosure provides a consumer shopping intention and recommendation analysis system, including: a member information server. The member information server includes a data cleaning device, an information analysis device, a recommendation device and a terminal equipment management device. The data cleaning device is used for receiving a plurality of shopping information, and corresponding these shopping information to a respective product code; the information analysis device is electrically coupled to the data cleaning device, and the information analysis device is used to analyze each item of information through a plurality of artificial intelligence models. a product information corresponding to each product code; wherein each of the product information includes a customer tag; the recommendation device is electrically coupled to the information analysis device, and the recommendation device is used for transmitting a promotion message corresponding to the customer tags; The terminal device management device is electrically coupled to the recommending device, and the terminal device management device is used for receiving the promotion messages, and playing an advertisement image corresponding to the promotion messages on a display, or prompting a printer to print out the corresponding promotion messages. A coupon for these promotional messages.

The consumer shopping intention and recommendation analysis system shown in this new model can create a single multi-attribute application programming interface interface to collect data sources, and create artificial intelligence modules for data analysis, automatic labeling and personalized promotion messages. The management device plays an advertisement image corresponding to the promotional message on the display, or prompts a printer to print out a coupon corresponding to the promotional message, so as to achieve the effects of automatic product marketing and exclusive personalized product recommendation.

The following description is for the best implementation of the novel, and its purpose is to describe the basic spirit of the present invention, but not to limit the present invention. The actual novel content must refer to the scope of the following claims.

It must be understood that words such as "comprising" and "including" used in this specification are used to indicate the existence of specific technical features, values, method steps, operation processes, elements and/or components, but do not exclude possible Plus more technical features, values, method steps, job processes, elements, components, or any combination of the above.

The use of words such as "first", "second", "third", etc. in the claims is used to modify the elements in the claims, and is not used to indicate that there is a priority order, antecedent relationship, or an element between them Prior to another element, or chronological order in which method steps are performed, is only used to distinguish elements with the same name.

Please also refer to FIG. 1. FIG. 1 is a block diagram illustrating a consumer shopping intention and recommendation analysis system 100 according to an embodiment of the present invention. In one embodiment, the consumer shopping intention and recommendation analysis system 100 includes a member information server 10 . The member information server 10 includes a data cleaning device 11 , an information analysis device 12 , a recommending device 13 and a terminal device management device 14 .

In an embodiment, the member information server 10 can also be implemented by a laptop, a desktop computer, and a cloud computing system.

In one embodiment, the data cleaning device 11 , the information analysis device 12 , the recommending device 13 and the terminal device management device 14 may be located outside the member information server 10 , and each is electrically coupled to the member information server 10 .

In one embodiment, the data cleaning device 11 , the information analysis device 12 , the recommendation device 13 and the terminal device management device 14 can be separately or combined by volume circuits such as a micro controller, a microprocessor, a digital A signal processor (digital signal processor), a special application integrated circuit (application specific integrated circuit, ASIC) or a logic circuit is implemented.

In one embodiment, the data cleaning device 11 , the information analysis device 12 , the recommendation device 13 and the terminal device management device 14 each include a storage device. In one embodiment, the storage device may be implemented as a read-only memory, flash memory, floppy disk, hard disk, optical disk, pen drive, magnetic tape, a network-accessible information library, or easily accessible to those skilled in the art. Consider storage media with the same functionality.

In one embodiment, the information analysis device 12 is electrically coupled to the data cleaning device 11 , the recommendation device 13 is electrically coupled to the information analysis device 12 , and the terminal device management device 14 is electrically coupled to the recommendation device 13 .

In one embodiment, the data cleaning device 11 receives a plurality of shopping information, and corresponds the shopping information to a respective product code.

The shopping information received by the data cleaning device 11 can be obtained in a variety of ways. Since the shopping information may come from different methods or platforms, after the data cleaning device 11 receives the shopping information, The format of the items in the shopping information is unified (or the coding method is unified). For example, for the serial number of the product: the code of instant noodles should be changed to "A1234", and the code of wallet should be changed to "A5678".

In one embodiment, the data cleaning is to select valid data for data from different sources, and compare the errors in subsequent data analysis.

In one embodiment, the data arrangement is to perform unified normalization arrangement for the data of the data source.

The shopping information received by the data cleaning device 11 can be obtained in the following manner.

In one embodiment, the online community server 21 is used to collect online community information through an application (eg, facebook, LINE); wherein, the online community server 21 uses an application program interface ( Application Programming Interface, API), transmits the online community information 21 to the member information server 10, and the data cleaning device 11 regards the online community information as shopping information. In this way, you can obtain information about the products that online consumers pay attention to.

In one embodiment, the online community server 21 can record the click information of LINE@ members, the click information of Facebook fans, the browsing process and the jumping process of the application program or online store, and transmit such information to the user through the application program interface. , and send it to the member information server 10 .

In one embodiment, the online member server 22 records browsing information that a member has browsed or searched through an application, a browser or a communication software; wherein, the online member server 22 uses an application program interface , and transmit the browsing information to the member information server 10, and the data cleaning device 11 regards the member information as shopping information. In this way, you can obtain information about the products that online consumers pay attention to.

In this example, a member refers to a user who has registered with a specific application or website, such as: Shin Kong Mitsukoshi's application or website, MitsuiOutletPark's application or website, Hi-Life VIP's application or website...etc. In this way, the member information server 10 can obtain browsing information of a specific member of a specific online store.

In one embodiment, the member information server 10 records online member order information, coupon usage rate, and point bonus acquisition and usage history, and transmits such information to the member information server 10 through the application program interface.

In one embodiment, the online shopping information server 23 records a time point when a customer triggers an order establishment procedure, a purchase product name, a purchase cycle or a purchase preference category; the online shopping information server 23 records through an application program interface, Send the time point of the order establishment process, the name of the purchased product, the purchase cycle or the purchase preference category to the member information server 10, and the data cleaning device 11 regards the time point of the order establishment process, the purchase product name, the purchase cycle or the purchase preference category as the shopping information . For example, the online shopping information server 23 transmits information such as the purchase of a cup of bubble milk tea at 12:00 noon, the average purchase of one cup of bubble milk tea every two days at noon, the preference for semi-sugar beverages, etc. to the member information server 10 through the application program interface. . For another example, for example, the online shopping information server 23 purchases a wallet on Mother's Day through the application program interface, and buys it once every two years on average, prefers the brand of LOUIS VUITTON (LV), etc. The information is transmitted to the member information server 10 . In this way, you can obtain relevant information about the products purchased by online consumers.

The above-mentioned online community server 21, online membership server 22, and online shopping information server 23 can be regarded as the home economy medium 20, which means that the user's electronic devices (such as mobile phones, laptops, desktop, tablet, etc.), you can connect to these servers to browse products or buy products.

In one embodiment, the offline shopping information server 31 is used to obtain offline shopping information through a point of sale (POS) system. The offline shopping information is transmitted to the member information server 10, and the data cleaning device 11 regards the offline shopping information as shopping information.

As can be seen from the above, the shopping information may include offline shopping information, the time point of the order establishment process, the name of the purchased product, the purchase cycle or the category of purchase preference, membership information and/or online community information.

In one embodiment, the one-line display attention information server 32 is used to record a plurality of attention hotspots on a display through an eye tracking technology; wherein when a customer watches a block of a display exceeds a time threshold, the This block is regarded as one of these hot spots; wherein, the offline display attention information server 32 transmits these attention hot spots to the member information server 10 through an application program interface, and the data cleaning device 11 records these attention spots. Hot spots are regarded as shopping information.

In one embodiment, the offline shopping information collection server 33 retrieves a plurality of facial features of a customer, searches for a member information corresponding to these facial features from a storage device, and records customer selection through a plurality of cameras. or check out an item, and record this item in the member information to update the member information; wherein, the offline shopping information collection server 33 transmits the updated member information to the member information through an application program interface The server 10 and the data cleaning device 11 store the member information in a member information database 15 . In one embodiment, the member information includes information such as customer name, customer number, historical purchase information, shopping preferences, and so on. In one embodiment, the member information database 15 is stored in a storage device, and the storage device is electrically coupled to the member information server 10 .

The above-mentioned offline shopping information server 31, offline monitor attention information server 32, and offline shopping information collection server 33 can be regarded as the real economy medium 30, which means that people actually go shopping or consume in the store, and through the real economy The medium 30 can learn the order information of offline consumers, such as consumption amount, consumption items, consumption type, consumption schedule, acquisition and use of bonus points, etc.

In addition, in the real economic medium 30, the face recognition technology can also be used to understand the process of consumers visiting the physical store, and the object recognition technology can be used to understand the items that consumers are interested in in the physical store (for example, the user places a commodity , such as cups, the behavior of picking up and inspecting can be recorded), and through eye tracking technology, it is possible to understand the attention items consumers visit in physical stores. To collect people's offline consumption behavior.

In one embodiment, the member information server 10 is coupled to a storage device, and the storage device is used for storing a member information database 15 and a product information database 16 , and the member information database 15 is used for storing a plurality of member information and a product information database. 16 is used to store product information.

In one embodiment, the information analysis device 12 is electrically coupled to the data cleaning device 11, and the information analysis device 12 is used to analyze a commodity information corresponding to each commodity code through a plurality of artificial intelligence models. Each of the product information includes a customer tag.

In one embodiment, after the information analysis device 12 obtains the unified and standardized data from the data cleaning device 11, the following steps are performed: user behavior analysis, unsupervised learning, setting group standards, supervised learning, and personalized labels, through These steps can analyze the unified and normalized data to find out which products are included, and generate a customer label for each product to complete the personalized automatic labeling. In one embodiment, the output data of each step can be used as the input data of the next step.

Among them, user behavior analysis can adopt existing models, such as NES (New Customer, Existing Customer, Sleeping Customer) label model, RFM (recency, frequency, monetary) model. The NES tag model can identify new customers, existing customers and sleeping customers, and the RFM model can analyze recent consumption, consumption frequency and consumption amount.

Among them, unsupervised learning can use existing models, such as k-means clustering algorithm.

Among them, the set group mark can be combined with the self-defined label name to complete the group mark.

Among them, supervised learning can use existing models, such as KNN (k-th nearest neighbor) classification, decision tree fine label, and custom label naming, such as general amount customers, potential customers, that is, the customer label of the corresponding product, with Complete personalized auto-labeling.

Thereby, the information analysis device 12 is used for analyzing a commodity information corresponding to each commodity code through a plurality of artificial intelligence models, and each of the commodity information includes at least one customer tag.

In one embodiment, the recommending device 13 is electrically coupled to the information analyzing device 12, and the recommending device 13 is used for transmitting a promotion message corresponding to the customer tags.

In one embodiment, the home advertising medium 40 includes an online community information advertising device 41 (eg, a server that sends push messages), and an online coupon push device 42 (eg, a device that sends coupons corresponding to the push messages). server), a device 43 for receiving e-mail or SMS (such as a server for sending push messages, a mobile phone, a tablet, or other devices with network communication capabilities).

In one embodiment, the recommending device 13 transmits a promotion message corresponding to these customer tags to the online community information advertisement server 41 (eg, the online social information advertisement server 41 can send the promotion information to Facebook or official LINE group), an online coupon pushing device 42 (for example, the online coupon pushing device 42 pushes coupon information to the user's electronic device through an application), an electronic device 43 (for sending an email) or send a text message).

In one embodiment, the physical online advertising medium 50 includes an advertising screen auto-playing device 51 and a coupon printing device 52 .

In one embodiment, referring to FIGS. 2 to 3 , FIG. 2 is a schematic diagram illustrating a coupon 200 according to an embodiment of the present invention. FIG. 3 is a schematic diagram illustrating an advertisement image 300 according to an embodiment of the present invention. The terminal device management device 14 is electrically coupled to the recommending device 13, and the terminal device management device 14 is used for receiving these promotion messages, and playing a respective one corresponding to the promotion messages on a display (such as the advertisement screen automatic playing device 51). The advertisement image 300 may cause a printer (eg, the coupon printing device 52 ) to print out a coupon 200 corresponding to the promotional messages.

In one embodiment, after the terminal device management device 14 receives the promotion messages, the terminal device management device 14 prompts the coupon printing device 52 to print out the coupons 200 according to the promotion messages.

For example, the promotion message received by the terminal device management device 14 is that the offline customer A buys beer from a certain restaurant on weekdays. When the customer A comes to the restaurant again, the content of the promotion message received by the terminal device management device 14 is : To promote the promotion plan of the restaurant "Buy 1 Get 1 Free with Fresh Brewed Beer with Christmas Package", therefore, the terminal equipment management device 14 prompts the coupon printing device 52 to print the coupon 200 .

In one embodiment, the terminal device management device 14 prompts the coupon printing device 52 to print out a detail, the details including: the coupon 200 (for promotion and marketing purposes), shopping information (such as details), member information (such as member name or number), invoice information, amount information (such as consumption amount).

In this way, the consumer shopping intention and recommendation analysis system 100 can provide the customer A with a personalized promotion and promotion plan.

In one embodiment, the terminal device management device 14 is connected in communication with the unmanned self-checkout device 53 . After the consumer picks up the commodity to be purchased, he scans the barcode of the commodity through the unmanned self-checkout device 53 and completes the payment.

In one embodiment, the terminal device management device 14 receives the promotion messages, and transmits the promotion messages to an advertisement screen, and the advertisement screen plays the advertisement images 300 corresponding to the promotion messages.

For example, the promotion message received by the terminal device management device 14 is that a customer who is checking out at a convenience store has purchased instant noodles, and it is recommended to promote drinks to match the instant noodles. Therefore, the terminal device management device 14 prompts the advertisement screen automatic playback device 51 to display the beverage discount "" 300 advertising images for 2nd cup half price". In one embodiment, the home advertising medium 40 includes an online community information advertising device 41 (eg, a server that sends push messages), and an online coupon push device 42 (eg, a device that sends coupons corresponding to the push messages). server), a device 43 for receiving e-mail or SMS (such as a server for sending push messages, a mobile phone, a tablet, or other devices with network communication capabilities).

The consumer shopping intention and recommendation analysis system 100 analyzes and organizes the consumer's consumption habits, so as to achieve the function of automatically generating exclusive and personalized recommended products. In one embodiment, referring to FIG. 4 , FIG. 4 is a schematic diagram illustrating a method for recommending products exclusively and personalized according to an embodiment of the present invention.

As can be seen from FIG. 4, through the consumer shopping intention and recommendation analysis system 100, information can be obtained from many aspects to achieve exclusive personalized recommendation products, such as when exploring or stimulating demand: search, online videos, pop-up advertisements, KOLs (Key Opinion Leader, the key opinion leader), community, when evaluating products or brands: search, word of mouth, event newsletter, official website, when confirming or purchasing: store experience, live broadcast, community, re-search...etc. .

Referring to FIGS. 5-6, FIG. 5 is a schematic diagram illustrating a shopping guide process according to an embodiment of the present invention. FIG. 6 is a schematic diagram illustrating a checkout process according to an embodiment of the present invention.

In Figure 5, through AI (Artifical Intelligence, artificial intelligence) consumer behavior recognition, for example, through a variety of artificial intelligence models to establish consumer behavior, and then identify target users by tag group groups, for example, through user behavior analysis, non- Supervised learning, setting group standards, supervised learning and personalized labels, these steps can analyze the unified and standardized data to find out which products are included, and generate customer labels for each product to complete personalized automatic labels, and then based on recommendations The device 13 transmits a promotion message corresponding to these customer tags to the user's mobile device (the promotion message can be presented on the user's mobile device in the form of SMS or application push broadcast, for example, the promotion content is: MitsuiOutletPark offer The coupon is deducted 200 yuan, and the QR code of the electronic coupon is included) to achieve the effect of accurate promotion and shopping guide.

In Fig. 6, during checkout, if the user is already a member of the store, and the offline shopping information collection server 33 retrieves multiple facial features of the customer, it searches for the corresponding 00 response from the storage device. The member information of these facial features is recorded through multiple cameras, and an item selected or checked out by the member is recorded, and this item is recorded in the member information to update the member information, so as to achieve the smart checkout function, through rapid identification Members can go to the member database to add or query members' hobbies, so as to understand the user's hobbies.

In one embodiment, an advertisement image 300 is played on a display (such as an advertisement screen automatic playback device 51 ), and eye tracking technology is applied to record a plurality of hot spots on a display, so as to collect advertisement items that members are interested in, and combine them in each display. After the browsing history on social media and websites, the characteristics and consumption behavior of members can be analyzed (it can be used as a label for this member, such as mature women, professional white-collar workers, outdoor products).

In addition, through the combination of tags and marketing methods, stores can directly give on-site limited-time discounts (that is, precise marketing, such as increased price purchases). For example, when a customer checks out, the point-of-sale information system displays the products that are purchased immediately after receiving the coupon; in another example, when a customer checks out, according to the recommendation device 13, a promotion message corresponding to these customer tags is sent to the user's actions For example, the promotion message can be displayed on the user's mobile device by means of SMS or application push broadcast. In this way, the consumer shopping intention and recommendation analysis system can stimulate consumer consumption, thereby improving the per-meter efficiency and operational efficiency, achieving the effects of increased per-floor efficiency, increased unit price per customer, and improved operational efficiency.

The consumer shopping intention and recommendation analysis system shown in this new model can create a single multi-attribute application programming interface interface to collect data sources, and create artificial intelligence modules for data analysis, automatic labeling and personalized promotion messages. The management device plays an advertisement image corresponding to the promotional message on the display, or prompts a printer to print out a coupon corresponding to the promotional message, so as to achieve the effects of automatic product marketing and exclusive personalized product recommendation.

100: Consumer Shopping Intention and Recommendation Analysis System

10: Member Information Server

11: Data cleaning device

12: Information analysis device

13: Recommended device

14: Terminal equipment management device

15: Member Information Base

16: Product Information Library

20: Home Economic Media

21: Online Community Server

22: Online Membership Server

23: Online Shopping Information Server

30: Real Economic Media

31: Offline Shopping Information Server

32: Offline monitors pay attention to information servers

33: Offline shopping information collection server

40: Home Advertising Media

41: Online community information advertising device

42: Online coupon push device

43: Receive email or SMS device

50: Physical online advertising media

51: Advertising screen automatic playback device

52: Coupon printing device

53: Unmanned Self-Checkout Devices

200: Coupon

300: Advertising Image

FIG. 1 is a block diagram illustrating a consumer shopping intention and recommendation analysis system according to an embodiment of the present invention. FIG. 2 is a schematic diagram illustrating a coupon according to an embodiment of the present invention. FIG. 3 is a schematic diagram illustrating an advertisement image according to an embodiment of the present invention. FIG. 4 is a schematic diagram illustrating a method for recommending products exclusively and personalized according to an embodiment of the present invention. FIG. 5 is a schematic diagram illustrating a shopping guide process according to an embodiment of the present invention. FIG. 6 is a schematic diagram illustrating a checkout process according to an embodiment of the present invention.

100: Consumer Shopping Intention and Recommendation Analysis System

10: Member Information Server

11: Data cleaning device

12: Information analysis device

13: Recommended device

14: Terminal equipment management device

15: Member Information Base

16: Product Information Library

20: Home Economic Media

21: Online Community Server

22: Online Membership Server

23: Online Shopping Information Server

30: Real Economic Media

31: Offline Shopping Information Server

32: Offline monitors pay attention to information servers

33: Offline shopping information collection server

40: Home Advertising Media

41: Online community information advertising device

42: Online coupon push device

43: Receive email or SMS device

50: Physical online advertising media

51: Advertising screen automatic playback device

52: Coupon printing device

53: Unmanned Self-Checkout Devices

Claims (10)

A consumer shopping intention and recommendation analysis system, including: A member information server, including: a data cleaning device for receiving a plurality of shopping information, and corresponding the shopping information to a respective product code; an information analysis device electrically coupled to the data cleaning device, the information analysis device is used for analyzing a product information corresponding to each product code through a plurality of artificial intelligence models; wherein each of the product information includes a customer tag ; a recommending device electrically coupled to the information analysis device, the recommending device is used for transmitting a promotion message corresponding to the customer tags; and A terminal equipment management device is electrically coupled to the recommending device, and the terminal equipment management device is used for receiving the promotional messages, and playing an advertisement image corresponding to the promotional messages on a display, or prompting a printer Print out a coupon each corresponding to these promotional messages. For example, the consumer shopping intention and recommendation analysis system of request item 1, further includes: An online community server for collecting online community information through an application; The online community server transmits the online community information to the member information server through an application programming interface (API), and the data cleaning device regards the online community information as the shopping information . For example, the consumer shopping intention and recommendation analysis system of request item 1, further includes: On-line member server to record the browsing information that a member has browsed through an application, a browser or a communication software; The online member server transmits the browsing information to the member information server through an application program interface, and the data cleaning device regards the member information as the shopping information. For example, the consumer shopping intention and recommendation analysis system of request item 1, further includes: The online shopping information server is used to record the time point when a customer triggers an order establishment procedure, a purchase product name, a purchase cycle or a purchase preference category; Wherein, the online shopping information server transmits the time point of the order establishment procedure, the purchase product name, the purchase cycle or the purchase preference category to the member information server through an application program interface, and the data cleaning device sends the order to the member information server. The time when the procedure is established, the name of the purchased product, the purchase cycle or the purchase preference category shall be regarded as the shopping information. For example, the consumer shopping intention and recommendation analysis system of request item 1, further includes: The offline shopping information server is used to obtain offline shopping information through a point of sale (POS) system; The offline shopping information server transmits the offline shopping information to the member information server through an application program interface, and the data cleaning device regards the offline shopping information as the shopping information. For example, the consumer shopping intention and recommendation analysis system of request item 1, further includes: The offline monitor attention information server is used to record a plurality of hot spots on a monitor through an eye-tracking technology; when a client watches a block of a monitor exceeding a time threshold, the block is regarded as a one of these hot spots; Wherein, the offline display attention information server transmits these attention points to the member information server through an application program interface, and the data cleaning device regards these attention points as the shopping information. For example, the consumer shopping intention and recommendation analysis system of request item 1, further includes: The offline shopping information collection server is used to retrieve a plurality of facial features of a customer, search for a member information corresponding to these facial features from a storage device, and record the customer's selection or checkout through a plurality of cameras an item of , and record the item in the member's information to update the member's information; The offline shopping information collection server transmits the updated member information to the member information server through an application program interface, and the data cleaning device stores the member information in a member information database. According to the consumer shopping intention and recommendation analysis system of claim 1, wherein the member information server is coupled to a storage device, and the storage device is used for storing a member information database and a product information database, and the member information database is used for storing a plurality of Member information, the product information database is used to store the product information. The consumer shopping intention and recommendation analysis system of claim 1, wherein the recommendation device transmits a promotion message corresponding to the customer tags to an online community information advertisement server, an online coupon push application, an electronic mailbox or a text message. According to the consumer shopping intention and recommendation analysis system of claim 1, wherein the terminal device management device receives the promotion messages, sends the promotion messages to an advertisement screen, and the advertisement screen plays the advertisement images corresponding to the promotion messages. .

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