CN-122022935-A - Trading support method

Abstract

The present invention aims to improve the purchase support technology of products. The purchase exchange support method executed by the information processing apparatus includes the steps of acquiring customer attribute information of a product at a time of purchase, determining an estimated purchase exchange time and a purchase exchange candidate based on the customer attribute information, and prompting the purchase exchange candidate at the estimated purchase exchange time.

Inventors

• MATSUDA KAZUYA
• MORISHITA HIROFUMI

Assignees

• 丰田自动车株式会社

Dates

Publication Date

20260512

Application Date

20251024

Priority Date

20241111

Claims (5)

1. 1. A purchase replacement support method executed by an information processing apparatus, the purchase replacement support method comprising the steps of: Acquiring customer attribute information of a product purchase time point; Determining estimated trading period and trading candidate according to the customer attribute information, and And prompting the purchase replacement candidate in the estimated purchase replacement period.
2. 2. The purchase-exchange-supporting method according to claim 1, wherein, The customer attribute information is determined from voice data at the time of negotiation.
3. 3. The purchase-exchange-supporting method according to claim 1, wherein, The customer attribute information includes at least any one of family composition, living area, life style, moving reservation information, economic status, environmental awareness, life event, and preference.
4. 4. The trading support method of claim 1, further comprising the steps of: And updating the content of the customer attribute information in the estimated trading period.
5. 5. The trading support method of claim 4, further comprising the steps of: prompting for an inquiry event requiring updating.

Description

Trading support method Technical Field The invention relates to a product purchase support method. Background Conventionally, techniques for analyzing negotiation contents concerning products are known. For example, patent document 1 discloses a dialogue analysis system that checks whether a sales person has described a matter to be described and whether a matter not to be described is not described in a negotiation with a customer. Patent document 1 Japanese patent application laid-open No. 2019-28910 Disclosure of Invention Patent document 1 discloses a technique of analyzing a negotiation content by machine learning, but the necessity of considering a customer's future purchase exchange has not been sufficiently studied so far. Thus, there is room for improvement in the product replacement support technology. In view of the above, an object of the present invention is to improve a replacement purchase support technique for a product. The purchase exchange support method according to one embodiment of the present invention is a purchase exchange support method executed by an information processing apparatus, and includes the steps of acquiring customer attribute information of a product purchase time, determining an estimated purchase exchange time and a purchase exchange candidate based on the customer attribute information, and presenting the purchase exchange candidate at the estimated purchase exchange time. Effects of the invention According to one embodiment of the present invention, the purchase support technology of the product is improved. Drawings Fig. 1 is a block diagram showing a schematic configuration of a system according to the present embodiment. Fig. 2 is a flowchart showing the operation of the information processing apparatus. Detailed Description Hereinafter, embodiments of the present invention will be described. With reference to fig. 1, an outline and a configuration of a system 1 according to the present embodiment will be described. The system 1 according to the present embodiment includes an information processing device 10 and a terminal device 20. The information processing apparatus 10 is, for example, a server apparatus provided in a data center or the like. The terminal device 20 is any device used by a user such as a staff member for negotiating. These devices are communicably connected via a network 30 such as the internet. In fig. 1, one information processing apparatus 10 and one terminal apparatus 20 are shown, but the system 1 may be provided with a plurality of these apparatuses. First, the outline of the present embodiment will be described, and the details will be described later. The purchase replacement support method according to the present embodiment is executed by the information processing apparatus 10. The information processing apparatus 10 acquires customer attribute information at the time of purchase of the product. The information processing apparatus 10 determines the estimated trading timing and trading candidates based on the customer attribute information. Then, the information processing apparatus 10 prompts the trading candidates at the estimated trading period. As described above, according to the present embodiment, the information processing apparatus 10 acquires customer attribute information at the time of product purchase, determines an estimated trading time period and trading candidates based on the customer attribute information, and presents the trading candidates at the estimated trading time period. Therefore, from the viewpoint of presenting the product of the purchase exchange candidate corresponding to the customer attribute information at an appropriate timing, the purchase exchange support technique of the product is improved. Next, each configuration of the information processing apparatus 10 and the terminal apparatus 20 will be described in detail. As shown in fig. 1, the information processing apparatus 10 includes a control unit 11, a storage unit 12, an input unit 13, an output unit 14, and a communication unit 15. The control unit 11 includes at least 1 processor. The processor is a general-purpose processor such as a CPU or a special-purpose processor dedicated to particular processing. The control unit 11 controls the respective units of the information processing apparatus 10 and executes processing related to the operation of the information processing apparatus 10. The memory unit 12 includes at least 1 semiconductor memory and the like. The semiconductor memory is, for example, RAM or ROM. The storage unit 12 functions as a main storage device, an auxiliary storage device, or the like, for example. The storage unit 12 stores data used for the operation of the information processing apparatus 10 and data obtained by the operation of the information processing apparatus 10. For example, the learning model is stored in the storage unit 12. The learning model is a model created by machine learning using a machine learni