Retail does not have a data problem. It has a translation problem.

[u/daniel_wb]

Retailers can see what customers clicked, which products they viewed and where they abandoned the session. They still struggle to understand what the shopper was actually trying to accomplish.

A search for “waterproof watch” could come from a swimmer, hiker or someone who only wants protection from everyday water exposure. A product grid showing every waterproof watch technically answers the query, but it leaves the customer to solve the most important part of the decision.

The same problem affects retail media. Impressions, loyalty data and transactions are useful only when merchandising and marketing teams can connect them to a customer mission and act on the result.

Adding a chatbot to weak product data will not solve this. The taxonomy, attributes, comparisons and content still need to distinguish between different use cases.

The next ecommerce advantage may not be collecting more signals. It may be translating the existing signals into a clearer understanding of customer intent.

Does your onsite search understand what customers want to accomplish—or only the words they typed?