KR20230045204A - Method, device and system for providing online lowest price product sales channel - Google Patents

Abstract

According to one embodiment, disclosed are a method, device, and system. The method includes the steps of: obtaining product information on a product to be searched; obtaining price information for the product from a plurality of online product sales channels based on the product information; determining the lowest price for the product based on the price information; and providing information on the lowest price online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels.

Description

Method, device and system for providing online lowest price product sales channel

The present disclosure relates to a technology field for providing product information at the lowest price for a product desired by a user and a purchase method thereof by collecting and processing online product information using an artificial intelligence learning algorithm.

Specifically, if the system user purchasing the product is a business operator purchasing wholesale products or a general consumer purchasing retail products, product information collection and purchasing methods can be provided with a differentiated AI learning algorithm tailored to each user's characteristics. can In addition, it does not simply recommend the lowest price product and its optimal purchase method to the user or a purchasing agent that makes this possible. It is possible to provide an automated product mediation system and its sales channel enabling immediate purchase of a product.

Recently, sales of products through online channels are continuously increasing, and various types of sales channels for distributing these products are continuously being created. In this era of flood of Internet products, companies or consumers are investing a lot of effort and money to purchase the products they want under optimal conditions.

In order to solve this problem, various services such as price comparison sites, online purchase support sites, and purchase agency support sites are being provided. These conventional services provide multiple online shopping malls for price information of specific products including various discounts and event information. collects and compares information from and recommends the cheapest products and how to purchase them.

However, this service is mainly limited to general consumers who purchase retail products, and there is a limit to its application to businesses that purchase wholesale products, and even if the user is properly offered the lowest price product and how to purchase it, the user is not a member of the shopping mall. If not, or even if you are a member, if the buyer's membership level is low and the discount benefits are low, you need to find an appropriate purchasing agent, and it takes a lot of time and effort to complete the purchase.

In addition, product information retrieved through the above existing services often has significantly poor consistency. This may be products using the same product name but produced by different manufacturers, and even products produced by the same manufacturer may have different manufacturing years. In many cases, the same product name is used for new products, so if you search for a product name on a general portal site or price comparison site, you may find a completely different product.

In order to increase the accuracy of searching for the lowest product price, there are cases where shopping information is automatically extracted and then processed and collected using shopping mall customer login information. This is technically possible, but most of the large online sales channels illegally regulate the collection and storage of customer information. Therefore, there is a need for a technical alternative that can accurately analyze the lowest price of the latest online product, which is constantly changing, in real time, regardless of these constraints.

Korea Patent Registration No. 10-1555565 (2015.09.18), Online shopping support system and method based on optimal purchase price Korean Patent Publication No. 10-2021-0104960 (August 26, 2021), lowest price shopping mall service providing server and method of providing the same

The problem to be solved in the present disclosure is to collect and process online product information with an artificial intelligence learning algorithm to improve the consistency of product information, and to obtain the lowest price product information for retail and wholesale products desired by businesses as well as general consumers and how to purchase them. It is possible to provide a method and system for providing in real time.

Specifically, if the system user is a business operator, a service is provided to discover new sales products that can secure the highest margin by comparing and analyzing sales information from wholesale malls and multiple online shopping malls. It can provide products and methods that can be purchased at the lowest price in the entire retail mall.

In addition, when the system user is a general consumer, various events and sales policies for each online shopping mall are reflected, as well as a product search path to access the corresponding shopping mall product, that is, through multiple portal sites and price comparison site searches. In this case, the lowest price product and purchase method can be provided by comparing and analyzing additional discount benefits provided.

In addition, even if the business operator or general consumer user is offered the lowest price product and purchase method, if the user is not a member of the shopping mall, or even if the user is a member, the discount benefit is low because the buyer's membership level is low, the system itself provides It is possible to provide an automated product brokerage system and its sales channel that can be purchased immediately without delay by using a proxy purchase service.

In addition, in existing services, when a user searches for a specific product name, a completely different product is often found. Consistency can be dramatically improved.

The problems to be solved in the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

As a technical means for achieving the above-described technical problem, a method for providing an online lowest priced product sales channel according to a first aspect of the present disclosure includes obtaining product information on a product to be searched; obtaining price information on the product from a plurality of online product sales channels based on the product information; determining the lowest price for the product based on the price information; and providing information on a lowest priced online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels.

Also, the lowest price may be determined based on benefits selectively provided by the plurality of online channels.

In addition, the selectively provided benefits may include discount benefits provided according to membership levels.

In addition, when the lowest price is determined according to a discount provided according to the membership level and the payment for the product is made at the lowest price, providing compensation to an account supporting payment according to the membership level; can include more.

Also, determining the lowest closest price for the product based on the price information; and additionally providing information on an online product sales channel with the lowest price for purchasing the product at the lowest price among the plurality of online product sales channels.

A device for providing an online lowest priced product sales channel according to a second aspect of the present disclosure includes obtaining product information on a product to be searched for, and providing price information on the product based on the product information from a plurality of online product sales channels. receiving unit to acquire; and a processor that determines the lowest price for the product based on the price information and provides information on a lowest price online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels. there is.

A system for providing an online lowest priced product sales channel according to a third aspect of the present disclosure includes acquiring product information on a product to be searched for, and providing price information on the product based on the product information from a plurality of online product sales channels. a receiving device that acquires; and a server that determines the lowest price for the product based on the price information and provides information on a lowest price online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels. there is.

In addition to this, other specific details are included in the detailed description and drawings.

According to an embodiment of the present disclosure, since product identification consistency can be maximized by providing a method for analyzing product images and product information with an artificial intelligence algorithm, it is possible to provide the user with the lowest price product accurately and at the lowest price. It has the effect of eliminating the troublesome effort and time of the buyer to search for the product and reducing the purchase cost.

In addition, in the existing lowest price analysis service, it was not possible to analyze the selling price of the product within the combined product, but in this system, after analyzing the product description image with an artificial intelligence algorithm, it provides a function that can be matched with the option name of option selection. This has the effect of maximizing the scope of product analysis.

In addition, by providing businesses that purchase wholesale products with a sales channel and purchase method that can purchase existing products at a lower price than before or at the lowest price on the Internet in both wholesale and retail malls, the business operator's net profit margin has the effect of greatly improving

In addition, by discovering new sales products that can secure the highest margin for business operators purchasing wholesale products, it not only greatly reduces the efforts and costs of companies following the discovery of new products, but also greatly increases the sales profitability of business operators. It works.

In addition, even if the user is offered the lowest price product, vendor, and purchase method, if the user is not a member of the shopping mall, or if the discount benefit is low because the buyer's membership level is low even if the user is a member, the purchasing agent with the highest membership level for each shopping mall By providing IDs or IDs held by the system itself in advance and systematically, users can purchase products at the lowest price on the Internet regardless of their membership level and whether or not they have signed up for membership.

In addition, in the existing purchasing agent service, it took a lot of effort and time to match the purchasing agent, but in this system, the ID of the purchasing agent or the ID held by the system itself is provided in advance so that the user can search for the lowest price product without delay. There is an effect that can be purchased immediately.

In addition, through the artificial intelligence learning process, information such as the optimal selling price, expected sales quantity, appropriate inventory quantity, expected out-of-stock period, product lifespan, etc. It has the effect of preventing unnecessary losses in advance by allowing business operators to make accurate sales decisions up to the stage of securing inventory quantities.

In addition, by predicting and providing an artificial intelligence-based advertising marketing operation strategy that can achieve the best advertising marketing performance for each product and sales channel, it has the effect of further maximizing profitability by securing the lowest price online product.

In addition, by providing a function to pre-order the lowest priced product searched, the system automatically sets the lowest purchase price desired by the user to be lower than the original inquired selling price, and when the product reaches the desired selling price due to time sale or other reasons. Since the payment can be executed by the user, it has the effect of significantly relieving the user's inconvenience and time in real-time monitoring of commodity price fluctuations that may occur before product discounts.

In addition, by providing an API channel interworking function for the built system function, there is an effect of easily affiliating with various channels.

In addition, by providing an online lowest priced product sales channel where only the lowest priced online products analyzed by the artificial intelligence management unit are collected and sold in one place, instead of searching for specific products that buyers want, buyers can search for the lowest priced products individually. There is an effect that you can easily compare and purchase the lowest priced products at once on one screen without needing to.

The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a block diagram schematically illustrating a configuration of a device for providing an online lowest priced product sales channel according to an exemplary embodiment.
2 is a flowchart illustrating each step in which a device for providing an online lowest priced product sales channel operates according to an exemplary embodiment.
3 is a configuration diagram schematically illustrating a configuration of a system for providing an online lowest priced product sales channel according to an exemplary embodiment.
4 is a diagram schematically illustrating a configuration of a device according to an exemplary embodiment.
5 is a flowchart illustrating a recommendation of a retail product with the lowest price and a service according to an exemplary embodiment.
6 is a diagram illustrating a flow chart of wholesale product lowest price product recommendation and service according to an embodiment.

Advantages and features in the present disclosure, and methods for achieving them will become clear with reference to embodiments described later in detail in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms, only the present embodiments are intended to make the disclosure complete, and the scope of the present disclosure to those skilled in the art belonging to the technical field. It is provided to fully inform you.

Terminology used in this specification is for describing embodiments and is not intended to limit the present disclosure. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as encompassing different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

Hereinafter, embodiments will be described in detail with reference to the drawings.

1 is a block diagram schematically illustrating a configuration of a device 100 for providing an online lowest price product sales channel according to an exemplary embodiment.

Referring to the drawings, a device 100 (hereinafter referred to as 'device 100') providing an online lowest priced product sales channel may include a receiver 110 and a processor 120.

In an embodiment, the receiving unit 110 may obtain price information on a product from a plurality of online product sales channels based on the product information.

In one embodiment, the processor 120 may provide information on the lowest price online product sales channel for purchasing a product at the lowest price among a plurality of online product sales channels.

Hereinafter, embodiments of the above-described device 100, receiver 110, and processor 120 and embodiments that have not yet been described will be described in detail with reference to the drawings below.

In addition, those skilled in the art can understand that other general-purpose components other than the components shown in FIG. 1 may be further included in the device 100 . For example, the device 100 may further include a memory (not shown) for temporarily/long-term storing product information on products to be searched. Alternatively, in the case of other embodiments, those skilled in the art may understand that some of the components shown in FIG. 1 may be omitted.

The device 100 according to an embodiment may be used by a user or a worker, and is equipped with a touch screen panel such as a mobile phone, a smart phone, a personal digital assistant (PDA), a portable multimedia player (PMP), a tablet PC, and the like. It can be interlocked with a variety of handheld-based wireless communication devices, and in addition to desktop PCs, tablet PCs, laptop PCs, and IPTVs including set-top boxes, devices with a base capable of installing and running applications Can be included or interlocked.

The device 100 may be implemented as a terminal such as a computer that operates through a computer program for realizing the functions described in this specification.

The device 100 according to an embodiment may include, but is not limited to, a system and a server for providing an online lowest priced product sales channel. According to an embodiment, the server may provide information on the lowest priced online product sales channel for purchasing a product at the lowest price among a plurality of online product sales channels, or may provide/manage applications and services supporting the same. Embodiments related to the online lowest priced product sales channel providing system and server will be described in more detail below.

Hereinafter, the device 100 according to an embodiment will be mainly described in an embodiment in which the device 100 operates independently, but as described above, the device 100 may operate through interworking with a server and a system including the server. That is, it can be seen that the device 100, the server, and the system according to one embodiment may be integrated and implemented in terms of their functions, and are not limited to any one embodiment.

2 is a flowchart illustrating each step in which the device 100 for providing the lowest price online product sales channel operates according to an exemplary embodiment.

In step S210, the device 100 may obtain product information on a product to be searched.

In one embodiment, the product information on the product to be searched includes the product name, manufacturer, It may include information used to identify a product or search for a product, such as country of manufacture and option information.

In step S220 , the device 100 may obtain price information about the product from a plurality of online product sales channels based on the product information.

In one embodiment, the plurality of online product sales channels are channels through which products are registered and sold, and may include websites, applications, and the like.

Also, the product price information may include information about the product price searched to correspond to the product information. The price information may include all price information corresponding to a product searched for on an online channel through which product sales information is provided.

In one embodiment, the device 100 may further include an artificial intelligence management unit, and may obtain price information for a product searched for on an online channel based on product information through the artificial intelligence management unit. Thereafter, the artificial intelligence management unit performs calculations on the obtained product information and price information corresponding to the product information to obtain price matching information matching price information for each product information and lowest price matching information matching each lowest price information. can Accordingly, the price information may include price matching information including general price information and lowest price matching information.

In step S230, the device 100 may determine the lowest price for the product based on the price information, and in step S240, the device 100 sends the lowest price online product sales channel for purchasing a product at the lowest price among a plurality of online product sales channels. information can be provided.

In an embodiment, the price information may include benefit information selectively provided by a plurality of online product sales channels, and the lowest price may be determined based on benefits selectively provided by a plurality of online product sales channels.

For example, benefits selectively provided by a plurality of online channels may include discount benefits provided according to the level of online channel members, and additionally, through an alliance between an online channel and a card company, when paying with a card company's card, affiliate Credit card company partnership discount benefits for purchasing products at the lowest price with benefits provided, discount benefits for each payment method, event discount benefits provided individually in each online channel, and shortcut benefits provided when accessing an online channel through a pre-determined access path , Referral input benefits, reserve discount benefits, purchase mileage benefits, and various types of conventional discount benefits such as payback discount benefits may be included.

In one embodiment, the lowest price is determined according to the discount provided according to the membership level, and when payment for the product is made at the determined lowest price, compensation may be provided for an account that supports payment according to the membership level. there is.

For example, when the lowest price is determined according to the discount provided according to the membership level and the payment for the product is made at the determined lowest price, the device 100 receives the discount according to the corresponding membership level and pays for the product. You can acquire an account that can be used in advance.

Such an account may be an account registered in a corresponding channel that provides a discount according to a member level and corresponding to a member level provided by the corresponding channel. Accordingly, the corresponding account can support payment according to the membership level.

In one example, a user who owns such an account may have transferred the account to a service operated by the device 100 or may be a member registered for the service, and may be an account of a corresponding channel that provides discounts according to membership levels. In the state of owning , the corresponding account can be provided to a service operated by the device 100 .

Accordingly, a user who owns an account is compensated for providing an account that supports payment through discounts provided according to membership levels in the corresponding channel through the device 100 and services provided from the device 100. can be provided.

Compensation according to an embodiment may include a benefit of providing points or mileage that can be used like cash in the service to the account of a user who supports/provides the account, or updating the membership level in the service to a specific level.

In another embodiment, the lowest price for a product determined based on the price information may be determined by various benefits selectively provided from the plurality of online product sales channels described above.

For example, in the case of a shortcut benefit in which a product sales price is provided at the lowest price upon payment through a pre-determined access path in a sales channel, the device 100 provides information about the corresponding channel along with address information about the corresponding access path. can provide

Accordingly, when a payment for a corresponding product is performed through an access path provided by the device 100, the payment may be performed at a price corresponding to the lowest price provided by the corresponding sales channel.

In one embodiment, the device 100 may determine the lowest closest price for the product based on the price information. The lowest closest price may be a price close to the lowest price by a predetermined ratio.

The device 100 may additionally provide information about an online product sales channel with the lowest price among a plurality of online product sales channels for purchasing a product at the lowest price.

For example, in step S230 of determining the lowest price for a product from price information acquired based on the product information, the device 100 determines the lowest closest price for a product, including a price close to the lowest price by a predetermined ratio. can

The lowest closest price may be determined based on a different benefit from a benefit selectively provided by a plurality of online channels corresponding to the lowest price, or may be a price determined without providing a benefit. In this case, the lowest proximate price secures a range of choices for discount benefits for purchasing products, and when discount benefits are not applied, it is possible to secure the convenience of providing product purchase opportunities at prices close to the lowest price without discount benefits. do.

According to an embodiment, a plurality of lowest prices may be determined for a product based on the price information in step S230, and accordingly, a plurality of lowest price online product sales channels may be provided.

When there are a plurality of lowest prices, the device 100 may determine a priority for providing at least one of information on a plurality of lowest price online product sales channels corresponding to the plurality of lowest prices.

For example, for products corresponding to multiple lowest prices, a user account that wants to receive information about products without discount benefits, overseas direct purchase products, products that take more than a preset period of time to ship, and the lowest price online product sales channel A product that supports a payment method corresponding to the registered payment method may be included.

The device 100 may assign high weight to products to which discount benefits are not applied, products that support a payment method corresponding to the payment method of the user account, products that require a delivery period longer than a preset period, and overseas products in the order of. and, based on the assigned weight, it is possible to determine a priority for providing at least one of information on a plurality of lowest priced online product sales channels.

For example, in the case of products that do not have discount benefits, information on product channels through which these products can be purchased is preferentially provided because the procedure for obtaining a separate discount benefit is omitted and the product can be purchased at the lowest price. Since doing so can greatly improve the user's convenience using the service provided from the device 100 and improve the satisfaction with the service, products to which discount benefits are not applied can be given a high weight in the first place. there is.

In addition, in the case of a product that supports a payment method corresponding to (same as) the payment method of the user account, the user can proceed with the payment for the lowest priced product in the conventional way, thereby securing the satisfaction of using the payment. A product supporting a payment method corresponding to the payment method of the user account may be given a second high weight.

In addition, in the case of a product that takes longer than the preset period, it can be the next best way to purchase the product at the lowest price, but the delivery period is a major disadvantage for online shoppers. can be given a high weight in the third order.

In addition, in the case of overseas direct purchase products, the delivery period is generally very long (e.g., 2 weeks) and the reliability of the condition and condition of the product is somewhat low. Because of this, the weight for overseas direct purchase products can be given the lowest rank weight.

The device 100 preferentially provides at least one of the information on the plurality of lowest priced online product sales channels based on the weights differently assigned as described above, thereby preferentially providing the most efficient information for purchasing the plurality of lowest priced products. You can do it.

In another embodiment, when a plurality of lowest closest prices are determined, the device 100 prioritizes providing at least one of information on online product sales channels with a plurality of lowest prices corresponding to the plurality of lowest prices. can decide

For example, a product corresponding to a plurality of lowest prices is a product in which the difference in amount from the lowest price is less than a predetermined rate, a product to which discount benefits are not applied, a product that supports a payment method registered in the user account and a corresponding payment method, It may include products that take longer than a preset period of time to deliver and products that are purchased directly from overseas.

The device 100 is a product to which discount benefits are not applied, a product in which the difference in amount from the lowest price is less than a predetermined ratio, a product that supports a payment method corresponding to the payment method of the user account, and a product whose delivery period is longer than a predetermined period. and overseas direct purchase products may be assigned high weights, and based on the assigned weights, a priority for providing at least one of information on online product sales channels having a plurality of closest proximity may be determined.

For example, in the case of products to which discount benefits are not applied, since the procedure for obtaining a separate discount benefit is omitted and the product can be purchased at the lowest price, a high weight is given to products without discount benefits in first place. It can be.

In addition, by first providing information on products corresponding to the lowest price, which is a case where the difference in price from the lowest price is less than a preset ratio, convenience is provided to purchase products at an amount close to the lowest price when it is not feasible to purchase the lowest price. Since this can be done, a second high weight may be given to a product having a small difference in price from the lowest price by less than a predetermined ratio.

In addition, in the case of a product that supports a payment method corresponding to (same as) the payment method of the user account, the user can proceed with payment for the product with the lowest price in the conventional way, so that satisfaction with payment can be secured. , a product supporting a payment method corresponding to a payment method of a user account may be given a high weight in third place.

In addition, in the case of a product that takes longer than the preset period, it can be the next best way to purchase the product at the lowest price, but the delivery period takes longer than the preset period in that it acts as a major disadvantage to online shoppers. A high weight can be given to the product that is ranked 4th.

In addition, in the case of overseas direct purchase products, the delivery period is generally very long (e.g., 2 weeks) and the reliability of the condition and condition of the product is somewhat low. Because of this, the weight for overseas direct purchase products can be given the lowest rank weight.

The device 100 preferentially provides at least one of the information on the plurality of lowest closest price online product sales channels based on the weights differently assigned as described above, so that the most efficient information for purchasing the plurality of lowest closest price products is preferentially provided. can be provided with

3 is a configuration diagram schematically illustrating the configuration of a system 1000 for providing an online lowest priced product sales channel according to an embodiment.

Referring to the drawings, a system 1000 for providing an online lowest priced product sales channel (hereinafter referred to as 'system 1000') may include a receiving device 1100 and a server 1200. Additionally, system 1000 may include device 100 .

According to an embodiment, the receiving device 1100 may acquire product information on a product to be searched for, and obtain price information on a product based on the product information from a plurality of online product sales channels.

The server 1200 according to an embodiment may determine the lowest price for a product based on the price information and provide information on the lowest price online product sales channel for purchasing a product at the lowest price among a plurality of online product sales channels. .

In one embodiment, the system 1000 obtains price information on a product based on the product information from a plurality of online product sales channels through the receiving device 1100 and the server 1200, and sells the product based on the price information. It can be operated as the lowest price online product sales channel providing system 1000 that determines the lowest price for a product and provides information on the lowest price online product sales channel for purchasing a product at the lowest price among a plurality of online product sales channels.

4 is a diagram schematically illustrating a configuration of a device 100 according to an exemplary embodiment.

Referring to the drawings, the device 100 includes a member information management unit 410, a wholesale mall management unit 420, an ID management unit 430, a big data management unit 440, an artificial intelligence management unit 450, and a retail product recommendation unit 460. ), a wholesale product recommendation unit 470, a product order management unit 480, a channel linkage management unit 490, and a lowest price product sales unit 500 may be further included. Also, the device 100 may perform wired/wireless communication with the server 1200 .

FIG. 5 is a flow chart showing the lowest price retail product recommendation and service according to an embodiment, and FIG. 6 is a flow chart showing the lowest price wholesale product recommendation and service according to an embodiment.

According to an embodiment, the member information management unit 410 may include a user's membership registration for service use, log-in and member information modification management, and a payment function for each system use function, and effectively use other online lowest price product brokerage automation systems. You can enter and manage basic system user and member information necessary for Membership information includes basic shipping information necessary for ordering and receiving products, business status and business information, member ID and password for each online shopping mall to compare and analyze the price of products available for purchase, credit card information for payment, payment information for each system use function, etc. can include

In the wholesale mall management unit 420 according to an embodiment, the system automatically collects business operator information and sales policies of online wholesale malls that sell wholesale products, or a system administrator can directly input and manage them. In particular, sales policies such as product supply rate by member class section, supply rate by payment method, tax invoice issuance, and type of sales evidence, which are provided differently depending on membership level, are essential for analyzing the lowest price, but there are cases where the system cannot automatically collect them. Therefore, it is possible to provide an information management means capable of directly securing, inputting, and managing wholesale mall information. In addition, through the order payment information calculated when an actual product order is executed through the system, it provides a means of supplementing data to check and update the consistency of each wholesale mall information to make sure that there is no change in the wholesale mall information that is already managed. You may.

According to an embodiment, even if a business operator or general consumer user is offered the lowest price product and purchase method from the system, if the user is not a member of the shopping mall, or if the user is already a member, the discount benefit is low because the buyer's membership level is low. A product brokerage automation function that can be purchased immediately using the proxy purchase service provided by the system itself is required.

In particular, in the case of wholesale malls, cumbersome procedures and document review period are required according to membership registration, and the lowest price recommendation service is often less realistic due to the application of the lowest discount level applied to new members. There is a problem that a lot of waiting and delay time occurs due to shopping helper matching. can be provided complete.

In addition, for this purpose, a process for recruiting purchasing agents with the highest membership level is provided for each shopping mall that handles retail and wholesale products, and information necessary for purchase, such as membership level, member ID, password, card information, etc. is registered. Alternatively, the ID management unit 430 may manage the membership level, member ID, password, card information, etc. for each shopping mall owned and provided by the system itself.

When the business operator or general consumer user selects the lowest price product agency purchase service, the user can immediately purchase the desired product through the product order management unit 480 through the ID of each shopping mall registered in the ID management unit 430. can provide

In addition, it is possible to manage the proxy purchase usage performance for the recruited purchasing agents, manage the purchasing agent rating according to the usage performance, purchase point performance, and compensation system, and through this, various types of compensation can be automatically performed at designated cycles. there is.

The big data management unit 440 according to an embodiment may collect and manage product and transaction information necessary for analyzing the lowest price product online from channels such as a big data seller or one or more portal sites, sales markets, and SNS.

The data collected is the product name, product specification, product image, option image, detailed description image, sales price, sales quantity, sales unit, shipping cost, free shipping policy, shipping method, and shipping company for each online retail and wholesale mall. , discount amount, discount benefit by payment method, event, member registration points, attendance check point, referral point, purchase mileage, cyber money, product evaluation score, seller evaluation score and delivery score, other points and coupons, products by membership level A plurality of collectable information that can affect product purchase, such as supply rate, supply rate for each payment method, whether or not a tax invoice is issued, and the type of sales proof may be included.

When collecting the above information, a method of collecting product information directly from a shopping mall in which a product is registered and a method of inquiring and collecting products of a corresponding shopping mall by detouring through other channels may be used in parallel. This is a product search path to access the corresponding shopping mall product, that is, in case of indirect access through multiple portal sites and price comparison site searches, sales collected directly from the shopping mall where the above product is registered according to the policy of the search channel and seller settings It can provide a technical means to receive a greater discount than the price.

In addition, the above information collection can be targeted at retail product sales channels, wholesale product sales channels, and sales channels that simultaneously sell retail products and wholesale products, and these sales channels may have different data collection methods and items. Collection modules for each may be separately provided.

In addition, in wholesale malls, although information essential for analyzing the lowest price product may not be automatically collected in the system legally or technically, a means to compensate for this may be provided through the wholesale mall management unit 420.

In addition, the collected data may include advertising marketing-related information necessary to evaluate advertising marketing performance and determine the optimal advertising marketing operation method and advertising cost scale. For example, advertising marketing channels through which products are sold, types of advertisements, advertisement keywords, product types, types of customers, content, gender, age, region, season, weather information, sales hours, delivery policies, industry, business size, socio-economic issues It may contain information such as

All the data collected above may go through a step of reclassifying and pre-processing the data in advance in the big data management unit 440 so that the artificial intelligence management unit 450 can effectively use it as artificial intelligence learning and verification data.

Hereinafter, various embodiments according to the operation, characteristics, and functions of the artificial intelligence management unit 450 will be described in more detail.

The device 100 according to an embodiment may include an artificial intelligence management unit 450, which improves the accuracy of search target products through product image analysis and is utilized when operating a sales site. It can provide information on finding new products that can be discovered, predict product sales prices and performance, derive optimal advertising and marketing operation methods, and provide or support related information to more accurately search for the lowest-priced products.

Hereinafter, the function of the aforementioned artificial intelligence management unit 450 and related embodiments will be described.

(1) Securing product identification accuracy through product image analysis

In general, when a search for a product is performed based on product information, there are cases in which a plurality of products completely unrelated to the product to be searched are searched.

For example, if you search for a product name on a portal site or price comparison site, such as a product using the same product name but produced by a different manufacturer, or a new or old product with a different manufacturing year even though the product is produced by the same manufacturer, a completely different product may be found. .

In order to compensate for the above problems, the artificial intelligence management unit 450 builds and uses artificial intelligence product image deep learning and machine learning analysis algorithms that can double check the consistency of product information through product image analysis, thereby providing the best It is possible to provide an artificial intelligence-based analysis system to secure product information accuracy. Through this, it is possible to provide an effect of accurately identifying detailed product information such as the manufacturer, brand, model, and production year of a specific product.

(2) Combination product analysis through detailed product description and option information analysis

If online sales products are combined products, i.e., products sold by option selection method with several different products registered in one product representative image at the same time, when you actually go to the product purchase screen and select the product you want, the product is completely different from the representative selling price. Since the price is exposed, it is difficult to analyze the exact selling price of a product composed of such a combination.

In order to solve the above problems, all product information of the combined product is converted into text in the form of images in the product description, and the corresponding product name is derived by analyzing the detailed description option image, and then matching it with the option name of option selection. can provide artificial intelligence deep learning and machine learning algorithms that can accurately analyze

(3) Discovery of new products by online sales operators

Selecting new products that can secure margins for online sellers is the most important step in determining the success or failure of a business, but actually analyzing this information is not an easy task, so most of them skip this step and select and sell products. many. For this reason, unnecessary time and efforts are invested in registering products that are unlikely to be sold in various shopping malls.

The artificial intelligence management unit 450 compares and analyzes sales information of multiple wholesale malls and multiple online shopping malls with deep learning and machine learning algorithms to discover new sales products that can secure the highest margin. An artificial intelligence-based analysis system. can provide.

(4) Accurate online lowest price product search

Sales channels that can be purchased at a lower price than before or at the lowest price in the entire wholesale mall and retail mall based on the online wholesale and retail product information analyzed based on artificial intelligence for products already sold by online sales operators and their purchasing methods can provide.

In addition, if the user is a general consumer, based on the product information for each channel whose reliability is secured based on the above artificial intelligence, various events and sales policies for each online shopping mall as well as a product search path to access the corresponding shopping mall product, that is, multiple It is possible to provide an artificial intelligence operating system that can accurately provide the lowest price product and purchase method by comparing and analyzing additional discount benefits given when indirectly accessing through search of portal sites and price comparison sites.

(5) Prediction of product sales price and performance

Setting an appropriate selling price is an important factor in generating the sales and profits that online sales operators want, but it is not an easy task to analyze huge amounts of information and make accurate decisions. For this reason, if the selling price is set incorrectly, there may be a problem in generating sales, and if the selling price is lowered to exhaust inventory, sales may be generated but profits may not be generated.

Through the artificial intelligence learning process for the product information data accumulated and processed by the big data management unit above, information such as the optimal selling price, expected sales quantity, appropriate inventory quantity, expected period of out-of-stock, product lifespan, etc. can be predicted and provided.

Through this, it is possible to provide an artificial intelligence-based sales operation system that can prevent unnecessary losses in advance by enabling business operators to make accurate decisions from product selection to product selection, pricing, and inventory securing.

In addition, the expected sales quantity, appropriate inventory quantity, and expected stock-out period may be provided for each set selling price range, and the optimal selling price may be provided for each sales channel.

(6) Deriving the optimal advertising marketing operation method

If a business's sales products are not easily exposed to buyers even if it maintains the lowest price online, even if the sales price is significantly higher, the competitor's products with high exposure frequency will not only increase sales performance, but also increase net sales. What can be done is an obvious fact. As such, it is important to set product sales prices competitively, but it can be seen that adopting an effective advertising marketing operation method is equally important to sales.

Artificial intelligence to achieve the best advertising marketing performance by product and sales channel by establishing an artificial intelligence learning and verification algorithm that combines product sales-related performance data and advertising marketing-related performance data accumulated and processed by the above big data management unit It is possible to predict and provide an optimal advertising marketing strategy based on this in advance.

According to an embodiment, in an existing price comparison and lowest price recommendation site, even if the user is offered the lowest price product and purchase method, the user is not a member of the corresponding shopping mall, or even if the user is already a member, the buyer's membership level is low, so discount benefits are not provided. In many cases, the practical effectiveness of the corresponding service is poor. In some cases, shopping assistants are matched and used to solve this problem.

The retail product recommendation unit 460 solves the above-mentioned problems and easily recommends the lowest priced retail product sold on the Internet to system users finally analyzed by the deep learning and machine learning algorithms of the artificial intelligence management unit 450. means can be provided.

When a user inputs a product name to be searched for, a product list of similar products primarily searched for by the requested product name, that is, a product list that clearly provides product names, product images, and detailed product specifications, etc. is provided. If you select the product you want accurately, the product list for the product is analyzed and provided in order of lowest price.

The final product list provided to the user is the user information input from the member information management unit 410, the purchase agent ID of the ID management unit 430 and the ID information possessed by the system itself, and the product purchase-related data collected by the big data management unit 440. The information and artificial intelligence management unit 450 provides a sales channel that can be purchased at the lowest price on the Internet and a detailed purchase method by comprehensively reflecting product data with improved data consistency, and also an option that can change each purchase condition of the inquired product. It can also provide a function that can be modified and rechecked with .

According to an embodiment, a business operator purchasing a wholesale product, similar to a general consumer who has received a recommendation of the lowest price product through the retail product recommendation unit 460, allows the user to select the lowest price wholesale product, the seller, and how to purchase the same. Even if the user receives a suggestion from the system, there are cases in which the user is not a wholesale member of the corresponding shopping mall, or even if the user is already a wholesale member, the wholesale member level is low, so the supply price discount benefit is very low. In particular, in the case of wholesale malls, cumbersome procedures following business membership registration and document review may take a lot of time. Therefore, services that simply recommend the lowest prices or connect shopping assistants to businesses who need to quickly purchase products will be greatly ineffective. There is no choice but to.

The wholesale product recommendation unit 470 resolves the above-mentioned problems and easily recommends to system users the lowest priced wholesale products on the Internet finally analyzed by the deep learning and machine learning algorithms of the artificial intelligence management unit 450. can provide.

When a user inputs a product name to be searched for, a product list of similar products primarily searched for by the requested product name, that is, a product list that clearly provides product names, product images, and detailed product specifications, etc. is provided. If you select exactly the product you want, a list of wholesale products for that product will be provided in order of lowest price.

The final list of wholesale products provided to the user is the user information input from the member information management unit 410, the purchase agent ID of the ID management unit 430 and the ID information possessed by the system itself, and the wholesale products collected by the big data management unit 440. Purchase-related information and product data with improved data consistency are comprehensively reflected in the artificial intelligence management unit 450 to provide a wholesaler that can be purchased at the lowest price on the Internet and its detailed purchase method, and also provides each purchase condition of the inquired wholesale product. It can be modified with a changeable option to provide a function that can be rechecked.

In addition, since the wholesale product searched by the user may be sold cheaper at a retail mall that disposes of inventory than at a general wholesale mall, the final result may be provided by searching for the lowest price wholesale product at the retail mall as well as at the wholesale mall.

In addition, it is possible to provide a function to immediately inquire and check new recommended products that can be secured by the artificial intelligence management unit 450 after the user selects a desired product type, seller, payment and proof conditions, etc.

In addition, the information provided to the user includes information such as the optimal selling price, expected sales quantity, appropriate inventory quantity, expected period of stock-out, product lifespan, etc. of a specific product predicted and analyzed by the artificial intelligence management unit 450, and It may include the expected sales quantity, the appropriate inventory quantity, the expected stock-out period, and the optimal selling price for each sales channel.

In addition, the information provided to the user may include an optimal advertising marketing strategy for each product and sales channel that can achieve the best advertising efficiency, predicted and analyzed by the artificial intelligence management unit 450 in advance.

The product order management unit 480 according to an embodiment provides a function for a user to order a product with a desired option for the lowest price product provided by the retail product recommendation unit 460 and the wholesale product recommendation unit 470. can do.

The ordering method provided to the user can be divided into a direct ordering method with the user's ID, a proxy ordering method with the ID of a purchasing agent, and a proxy ordering method with an ID possessed by the system itself.

In addition, other ordering methods provided to the user may be divided into a real-time ordering method and a reservation ordering method. The real-time order method is a method of immediately executing an order for the desired product, and the reservation order method is a method in which the system can automatically execute payment when the product reaches the desired selling price for time sale or other reasons after the user sets the lowest price desired. way there is. Through this, the user can save time and inconvenience of monitoring product price fluctuations in real time that may occur before product discounts.

According to an embodiment, the channel interworking management unit 490 is an existing integrated shopping mall management solution, advertising marketing management solution, price comparison site, purchasing agency solution, open market, social market, general mall, department store mall, home shopping, specialized mall, welfare Targeting various channels related to online sales and advertising marketing such as malls, local malls, closed malls, telecommunication companies, IPTV, cable TV, satellite broadcasting companies, and general corporations, the system built above and related big data can be effectively provided. API integration module can be provided.

In the lowest price product sales unit 500 according to an embodiment, the wholesale and retail product recommendation unit 460 and the product order management unit 480 provide the user with the lowest price sales channel and purchase method for a specific product, and provide the user with a desired method. While providing the function to execute an order, the lowest price product sales unit 500 is not a specific product, but an online lowest price product sales site (channel) consisting of all the lowest price products finally analyzed by the artificial intelligence management unit 450. can provide.

The “online lowest priced product sales channel” and the “online lowest priced product sales site” described in this disclosure may be implemented in an integrated form, but may be implemented as separate concepts according to an embodiment. That is, those skilled in the art can understand that each term may be integrated and implemented according to an embodiment or may be individually implemented as a distinct concept.

Since only the lowest price Internet product is exposed for each category on the online website specializing in selling the lowest price product, each product is composed of products from various sales channels, and the lowest price product can change frequently depending on the situation.

For example, even if a specific product of a specific channel is exposed to a sales site specializing in the lowest price online product provided by this system because it is currently the lowest price product online, if the product of another channel or other seller is adjusted to the lowest price, the existing product This is a method in which other sales channels or other sellers' products are exposed on online sales sites specializing in the lowest-priced products instead of the lowest-priced products.

The ordering method provided by the online lowest priced product sales site may also provide the same ordering system as the ordering method provided by the product order management unit 480 .

Wholesale products can also be provided with the lowest price product sales department (500) system, which is the same as retail products. A function to pay a separate fee to the purchasing agent can be added to the extent that the user can reduce the purchase cost.

In addition to the one lowest price product, several next lowest price products may be additionally exposed in order of price.

Various embodiments of the present disclosure are implemented as software including one or more instructions stored in a storage medium (eg, memory) readable by a machine (eg, a display device or a computer). It can be. For example, the processor 120 (eg, the processor 120) of the device may call at least one of one or more instructions stored from a storage medium and execute it. This enables the device to be operated to perform at least one function according to the called at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.

According to one embodiment, the method according to various embodiments disclosed in the present disclosure may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store™) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smartphones. In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a storage medium readable by a device such as a manufacturer's server, an application store server, or a relay server's memory.

Those skilled in the art related to this embodiment will be able to understand that it can be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a limiting sense. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent scope will be construed as being included in the present invention.

100: Device providing the lowest price online product sales channel
110: receiver 120: processor
410: Member information management unit 420: Wholesale mall management unit
430: ID management unit 440: Big data management unit
450: artificial intelligence management unit 460: retail product recommendation unit
470: wholesale product recommendation unit 480: product order management unit
490: Channel linkage management unit 500: Lowest price product sales unit
1000: Online Lowest Price Product Sales Channel Provision System
1100: receiving device 1200: server

Claims (7)

In the method of providing the lowest price online product sales channel,
obtaining product information on a product to be searched;
obtaining price information on the product from a plurality of online product sales channels based on the product information;
determining the lowest price for the product based on the price information; and
and providing information on a lowest priced online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels.
According to claim 1,
The lowest price is determined based on benefits selectively provided by the plurality of online channels.
According to claim 2,
The selectively provided benefits include discount benefits provided according to membership levels.
According to claim 3,
When the lowest price is determined according to a discount provided according to the membership level and payment for the product is made with the lowest price, providing compensation to an account that supports payment according to the membership level; further comprising How to.
According to claim 1,
determining the lowest closest price for the product based on the price information; and
The method further includes providing additional information on an online product sales channel with the lowest price among the plurality of online product sales channels for purchasing the product at the lowest price.
In the device for providing the lowest price online product sales channel,
Acquire product information about the product to be searched,
a receiving unit acquiring price information on the product from a plurality of online product sales channels based on the product information; and
Determine the lowest price for the product based on the price information;
and a processor for providing information about a lowest price online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels.
In the online lowest price product sales channel providing system,
Acquire product information about the product to be searched,
a receiving device that acquires price information on the product from a plurality of online product sales channels based on the product information; and
Determine the lowest price for the product based on the price information;
and a server providing information on a lowest price online product sales channel for purchasing the product at the lowest price among the plurality of online product sales channels.

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