AI COLLECTIVE MIND
Retail & e-commerce
Product and retail data can put local markets into context: what is sold, how it is described, where it is available and how prices change. We assess both historical collections and the feasibility of agreed updates.
What could this include?
- Authorised product catalogues, local descriptions and category structures
- Price histories, stock observations and shelf imagery
- Reviewed aggregate purchasing trends without customer records
Potential uses to explore
- Explore product search, matching and catalogue classification
- Study assortment and price movements
- Evaluate recognition of packaging or shelf conditions
Preparing a useful source
Potential preparation includes normalising categories and units, documenting changes to identifiers, and reviewing duplicate product images. Define whether a price is an observation, an offer or a completed transaction before comparing sources.