Browse Prior Art Database

Intelligent Sales Server for e-Commerce

IP.com Disclosure Number: IPCOM000014651D
Original Publication Date: 2002-Feb-20
Included in the Prior Art Database: 2003-Jun-20
Document File: 3 page(s) / 77K

Publishing Venue

IBM

Abstract

The disclosed invention is a program that chooses a certain goods which a consumer desires to buy from a registration of goods based on the consumer's profile. The profile of the individual consumer is obtained from a profile repository or through a runtime interactions with the consumer on WWW.

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Intelligent Sales Server for e-Commerce

   The disclosed invention is a program that chooses a certain goods which a consumer desires to buy from a registration of goods based on the consumer's profile. The profile of the individual consumer is obtained from a profile repository or through a runtime interactions with the consumer on WWW.

When consumers don't have enough certain knowledge about goods, they cannot tell a goods seller the characteristics of what they really want. In this case, the consumer couldn't be helped from choosing and purchasing a not-perfectly desired goods among limited goods selection by a seller(s). With this invention,
1) a consumer can find goods that is exactly the same with or is close to what he/she really wants, even if the consumer faces a problem of lack of knowledge about goods, 2) consumers can choose goods from plural anonymous sellers effectively, and 3) sellers can save their sales costs.

Mechanism:

In this model, there are a seller, a consumer, and an agent server. The agent server includes profile data repository of the individual consumer, and questionnaires organized based on certain taxonomy of goods.

1. A seller registers the information of its selling goods on the agent server.
2. A consumer inputs a general name of goods, that is identified by the taxonomy of goods at a higher level. For example, a consumer uses just the term 'Car' if he/she is looking for a second family car.
3. The agent server chooses more explicit name(s) from a detailed level of the taxonomy or exact (model) name(s) of goods based on the input at the step #2 or #4-b) and a profile of the consumer, and sh...