Automated Product Matching (APM) in the Global E-business Market

Shin-Ping Liu Tucker；Dennis Tucker

product matching ； automated product matching ； third-party seller market ； e-business

Electronic Commerce Studies

11卷4期（2013 / 12 / 31）

453 - 461

英文

In today's global e-business market there are many large companies trying to maintain a grasp on their share of the third-party seller market. Amazon1, eBay2, Google3 and Sears4 are some examples of these companies. A large part of these companies' profits come from third-party sellers and technology is the key to success. Buyers must be able to find products and the products must have information that is complete and accurate. The problem is the lack of an ”accepted” standard for identifying products makes it hard for third-party sellers to put their products up for sale with complete and accurate information in the global e-commerce market. Automated Product Matching (APM) attempts to solve this problem by using computer algorithms to match products using search queries across multiple marketplaces, find proprietary product identifiers for a product and optionally convert product identifiers from one type to another. Automated Product Matching helps third-party sellers match products they are selling to existing product information and allows them to obtain and use accurate information.

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