AI recommendations are only as good as the product data they're built on. A feed with vague titles, missing categories, and no tags produces generic suggestions. A well-structured feed produces specific, high-converting recommendations.
Optimize My FeedInclude: material, gender, fit, size. The AI uses the title to match customer queries semantically.
Descriptions train the AI on product specifics. Facts outperform adjectives for recommendation accuracy.
Deep category hierarchy lets the AI filter by type when the customer's query is category-level.
Tags are the AI's secondary matching layer. Use occasion, season, material, and style tags.
When both prices are present, the AI mentions the saving proactively — a proven conversion trigger.
Stale availability data causes the AI to recommend out-of-stock items. Sync at least twice daily.
SaleSense syncs your Google Shopping or custom XML feed automatically, twice daily. Start free — no developer needed.
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