16. Product DB Information Design (AI Reference Optimization) | For Manufacturing Industry
Product information is about "enabling" rather than "arranging." We design product database information that can be accurately referenced by both AI and humans.
The more product items there are, the results on the web are determined by "database design." In the era of generative AI and AI search, AI does not read product pages individually; instead, it references product information as a "data structure" for comparison, summarization, and recommendations. However, many manufacturing websites have inconsistent item names, variations in notation, missing usage or selection criteria, and non-uniform specification granularity, making it difficult for both AI and humans to compare. As a result, strengths are overlooked, and products are eliminated from consideration. This service will redesign product information with the premise of being "searched, compared, and summarized," creating a product database that is strong in AI reference (item design, granularity unification, naming rules, associations). ■ Provided content (3 points) 1. Current database inventory (identifying missing items, notation variations, and granularity inconsistencies) 2. Information design (designing essential items, selection criteria, usage, and comparison axes) 3. Operational rule design (standardizing input conventions, naming, categories, and association rules) Scope/Assumptions: From design to operational rules (implementation/CMS modifications and migration work are separate) / The number of target products will be adjusted according to scale. *Please share the current product list (CSV/Excel acceptable) or URL. We will organize the defects and improvements as a database.
- Company：アンドワン 本社、東京支社、川崎営業所
- Price：Other
