Blog
E-commerce insights, AI search strategies, and product discovery trends to help you stay ahead of the competition.
EcommerceContext in ecommerce search goes beyond matching keywords. Explore how shopper input, product and variant data, availability, and interaction signals influence search results and why facts, confirmed choices, and inferences should be treated differently.
AI SearchContext in ecommerce search is more than AI understanding a query. Learn how shopper input, product data, availability, and interaction signals can influence which products appear and why.
EcommerceSearch should do more than return products. It should help shoppers move from a vague idea to a confident purchase with less effort, fewer dead ends, and better results. When search behaves like a guided shopping experience, it becomes one of the most valuable conversion tools on your ecommerce site
Conversion & RevenueConversational shopping is changing how people discover products online. Instead of typing a few keywords and hoping for the best, shoppers can now ask questions, refine preferences, and get guided recommendations in a more natural way. For ecommerce brands, this shift matters because customers incr
Ecommerce62% of Gen Z shoppers start discovery with photos instead of typing. Visual search converts three times better than text queries. Upload an Instagram dress photo and instantly see perfect matches with 22% average cart add rates. Most Shopify stores still deliver keyword-only search. Visual search ap
Ecommerce80% of ecommerce searches fail silently—typos, regional slang, and synonyms bury potential revenue before shoppers even see products. One mid-size fashion retailer using Wizzy.ai flipped the script: autocomplete that parses misspellings plus synonym mapping drove an 18% lift in order volume within 4
EcommerceAI Accuracy Starts With Catalog Accuracy Ecommerce brands are rapidly adopting AI across search, recommendations, personalization, merchandising, and customer experience. Yet many AI initiatives underperform for one simple reason: AI systems are only as intelligent as the product catalog they learn
Conversion & RevenueWhy Indexing Strategy Quietly Determines Search Quality Indexing is invisible when it works—and painfully obvious when it doesn’t. Products appear out of stock when they aren’t, prices lag behind promotions, and search returns results that feel inexplicably wrong. Many of these issues get blamed on
EcommerceWhy Query Classification Is a Control Problem, Not a Labeling Problem Ecommerce queries are ambiguous by default. Shoppers rarely provide complete instructions—they provide signals. The system’s job is to decide how to act on those signals, not to neatly label them. Most relevance failures stem from
EcommerceEcommerce Search Is a Language Translation Problem (Not a Retrieval Problem) Ecommerce search breaks long before retrieval or ranking come into play. The real failure happens earlier—when human language is translated into something a catalog can act on. Shoppers search in natural language. They use
See how Wizzy's AI-powered search and discovery turns browsers into buyers.
