Insights from Wizzy

E-commerce insights, AI search strategies, and product discovery trends to help you stay ahead of the competition.

Featured Article

Too Many Products, Low Sales? Here’s What’s Actually Broken

Introduction If your catalog has grown but sales haven’t, the instinct is to blame: Traffic Pricing Marketing But in most cases, the issue sits deeper: Your discovery system is not scaling with your catalog Because adding products increases: Search complexity Ranking ambiguity Decision friction And unless your system adapts, every new SKU reduces overall efficiency....

April 3, 2026

Alok Patel

All Articles

AI Search

Why “Relevant Results” Still Don’t Convert (And What You’re Missing)

Most ecommerce teams believe they have a discovery problem solved once results are “relevant.” Products match the query. Search returns results. Filters refine correctly. Yet conversion doesn’t improve. This is not a UX issue. It’s not even a search issue. It’s a decision architecture problem. Because relevance answers: “Does this product match the query?” But...

April 2, 2026

Alok Patel

AI Search

Product Data Optimization for AI Search: The New Ecommerce SEO

Introduction For nearly two decades, ecommerce SEO revolved around ranking product and category pages on search engines. Keywords, backlinks, and technical optimization defined visibility. That model is now shifting. Customers are increasingly discovering products through AI-powered interfaces — conversational search, generative answers, smart recommendations, and embedded discovery engines. Platforms powered by large language models (LLMs)...

March 16, 2026

Alok Patel

AI Search

Magento Search Optimization with AI: Complete Guide

Introduction Search plays a critical role in ecommerce conversion. Visitors who use onsite search typically have much stronger purchase intent than casual browsers. They already know what they are looking for and expect to find it quickly. When search works well, it accelerates product discovery and increases conversions. However, many Magento stores struggle with search...

March 12, 2026

Alok Patel

AI Search

Ecommerce Search Architecture: A Modern Reference Stack (2026)

Ecommerce search breaks when it’s treated as a tool instead of a system. At small scale, feature-driven search works well enough. As catalogs grow, queries diversify, and AI layers are added, that framing collapses. Teams respond by stacking fixes—synonyms, rules, boosts—without addressing the underlying structure. Most modern search failures are not caused by weak algorithms....

December 29, 2025

Alok Patel

AI Search

Search Relevance Optimization: How Ecommerce Brands Improve Product Findability

Search relevance is no longer just a feature of the site search bar—it has become a core revenue engine that determines how efficiently shoppers discover products, how well marketing dollars convert, and how quickly inventory moves. In modern ecommerce, search relevance sits at the intersection of shopper intent and business performance, and brands that optimize...

December 29, 2025

Alok Patel

AI Search

RAG Search: Retrieval-Augmented Generation for Accurate, AI-Powered Search

Traditional search—whether keyword-based or vector-based—retrieves relevant documents, but it cannot generate answers or synthesize information. LLMs can generate answers, but without grounding, they often produce hallucinations or confidently incorrect responses. This gap between retrieval and generation has driven the rapid rise of RAG (Retrieval-Augmented Generation) as the new standard for intelligent search systems. Industry data...

December 23, 2025

Alok Patel

AI Search

Choosing an Ecommerce Search Engine: A Practical Decision Framework

Choosing an ecommerce search engine is one of the most expensive decisions teams make—often without realizing it. Once search is live, it becomes deeply embedded in product discovery, merchandising, and conversion. If it’s wrong, teams don’t replace it; they work around it. Most search engines look fine at launch. Problems show up later: relevance degrades,...

December 22, 2025

Alok Patel

AI Search

Vector Search Explained: How It Works and Why It Powers Modern AI

Search is evolving from matching words to understanding meaning. The older keyword-based approach worked when information was mostly textual and users phrased queries in predictable ways. But today’s data environment looks very different. Most enterprise information now sits in unstructured formats— long-form documents, chat transcripts, images, product catalogs, logs, audio clips, and videos—none of which...

December 1, 2025

Alok Patel

AI Search

AI Product Search: Technology, Use Cases & Implementation

Product search is the highest-intent moment in ecommerce — but most stores still rely on old keyword systems that miss context, misunderstand queries, and often return irrelevant or zero results. This leads to frustrated shoppers and missed revenue. AI product search fixes this by understanding meaning, not just words. It interprets intent (“dress for beach...

November 24, 2025

Alok Patel

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