KR-20260063290-A - A system that analyzes the latest trend information to purchase and sell products expected to be popular
Abstract
The present invention relates to a system for purchasing and selling products expected to be popular by analyzing the latest trend information connected through a network with at least one online web market, an online seller, a generative AI system, and a person in charge terminal. The system includes a database unit that stores online web market information, seller information, person in charge information, collected information, recommendation information, and inventory information; and a server that collects product information from the online web market and the seller, analyzes the latest trends, and recommends products to the person in charge according to the latest trends. In an embodiment of the present invention, information on the web market and the seller affiliated with the web market is collected, the collected information is analyzed to generate the latest trend information, products expected to be popular are recommended accordingly, and if the person in charge selects to purchase, the purchase is made.
Inventors
- 최문정
Assignees
- 최문정
Dates
- Publication Date
- 20260507
- Application Date
- 20241030
Claims (7)
- A system for purchasing and selling products expected to be popular by analyzing the latest trend information connected through a network with at least one online web market, online seller, generative AI system and person in charge terminal, A database section storing online web market information, seller information, contact person information, collected information, recommendation information, and inventory information; A system for purchasing and selling products expected to be popular by analyzing the latest trend information, including a server that collects product information from online web markets and sellers to analyze the latest trends and recommends products to the person in charge based on the latest trends.
- In paragraph 1, The above database department is, An online web market information DB that stores at least one online web market information; A seller information database that stores information on at least one seller selling products online; A database of personnel information that stores information on personnel responsible for purchasing and selling products; A collected information DB that stores collected information including product trend information and product sales volume; Recommendation information DB that stores information on recommended products based on the latest trends; Inventory information DB storing inventory information for at least one product currently in stock; A system for purchasing and selling products expected to be popular by analyzing the latest trend information, including an analysis information DB that stores information analyzing trends regarding products requested by the person in charge.
- In paragraph 2, The above server is, An information collection unit that collects product sales information and trend information from online web markets, trend information from generative AI systems, and sales product information from sellers; A system for purchasing and selling products expected to be popular by analyzing the latest trend information, including a recommendation unit that analyzes the latest trends using the information collected by the information collection unit and recommends products to the person in charge according to the latest trends.
- In paragraph 3, A system for purchasing and selling products expected to be popular by analyzing the latest trend information, characterized by the recommendation unit calculating a recommendation score for a single product using 20% of the trend information score of a generative AI system, 30% of the online web market product sales volume score, and 50% of the sales volume increase score, and recommending products of a certain rank with a high recommendation score.
- In paragraph 4, The above server is, A product purchasing department that purchases products based on the manager's selection; Product sales department selling products according to the manager's selection; A system for purchasing and selling products expected to be popular by analyzing the latest trend information, including an inventory management department that manages product inventory.
- In paragraph 5, The above inventory management department, For products with an increasing sales trend, increase inventory levels, and A system for purchasing and selling products expected to be popular by analyzing the latest trend information, characterized by reducing inventory levels for products whose sales volume is on a declining trend.
- In paragraph 6, The above server is, A system for purchasing and selling predicted popular products by analyzing the latest trend information, including an analysis unit that further analyzes trends in products entered by a person in charge and provides the results.
Description
A system that analyzes the latest trend information to purchase and sell products expected to be popular The present invention relates to a system for purchasing and selling products expected to be popular by analyzing the latest trend information, and in particular, to a system for purchasing and selling products expected to be popular by analyzing the latest trend information, which collects information on a web market and sellers affiliated with the web market, analyzes the collected information to generate the latest trend information, recommends products expected to be popular accordingly, and makes a purchase when a person in charge selects to purchase. In general, with the spread of the digital economy, a big data environment is expanding around us, where an immeasurable amount of information and data is being produced. Compared to data produced in the past analog environment, big data is vast in scale, has a short generation cycle, and encompasses large-scale data that includes not only numerical data but also text and video data; recently, such big data is being analyzed and utilized in various fields. In particular, it provides recommendation services to users using big data; for example, it offers a service that recommends restaurants and cafes that are popular or frequently searched by users. However, since these recommendation services do not reflect user characteristics, they provide recommendations that are not suitable for the user, making it difficult to recommend information that is actually helpful to the user. In addition, conventional product recommendation systems could recommend future products based on previous sales records. However, since these product recommendation systems recommend products based solely on past sales records, there was a problem in that it was difficult to recommend products that respond to rapidly changing trends. Meanwhile, various online web marketplaces such as Naver Shopping, Gmarket, and Coupang have traditionally existed, and diverse sellers are selling products to buyers on these platforms. Here, a seller may be a manufacturer who produces the product themselves, or a seller who sells products manufactured by another company. On the other hand, sellers can sell products from other sellers or manufacturers, and can generate good profits by identifying the latest trends, purchasing high-quality products at low prices, and selling them to buyers. The matters described above as background technology are intended only to enhance understanding of the background of the present invention and should not be construed as an acknowledgment that they constitute prior art already known to those skilled in the art. FIG. 1 is a diagram showing a system for purchasing and selling products expected to be popular by analyzing the latest trend information according to an embodiment of the present invention. Figure 2 is a configuration diagram of the person in charge terminal. FIG. 3 is a diagram illustrating a method for purchasing and selling products expected to be popular by analyzing the latest trend information according to an embodiment of the present invention. Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals. Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. FIG. 1 is a diagram showing a system for purchasing and selling products expected to be popular by analyzing the latest trend information according to an embodiment of the present invention. Referring to FIG. 1, a system for purchasing and selling products expected to be popular by analyzing the latest trend information according to an embodiment of the present invention is, A system (100) for purchasing and selling products expected to be popular by analyzing the latest trend information connected through at least one online web market system (200), an online seller terminal (400), a generative AI system (500), a manager terminal (300), and a network (600), wherein A database unit (120) that stores online web market information, seller information, person in charge information, collected information and recommendation information and inventory information; It includes an online web market system (200) and a server (110) that collects product information from sellers, analyzes the latest trends, and recommends products to the person in charge according to the latest trends. Here, the online