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Insights from Wizzy

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

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Product Discovery
Featured

What Makes a Product “Discoverable” to AI Shopping Assistants?

AI shopping assistants are changing how shoppers discover products. Learn what ecommerce teams need to get right across product data, attributes, variants, availability, and search intent.

September 8, 2026
AP
Alok Patel

All Articles

Conversational Product Search: How It Works With Search, Filters, and Recommendations
AI Search

Conversational Product Search: How It Works With Search, Filters, and Recommendations

Not every shopper searches the same way. Explore how conversation, search, filters, and recommendations can work together to make product discovery more useful.

September 3, 2026
AP
Alok Patel
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B2B Ecommerce Search: A Practical Guide to Part Numbers, Product Attributes, and Compatibility
AI Search

B2B Ecommerce Search: A Practical Guide to Part Numbers, Product Attributes, and Compatibility

B2B ecommerce search goes beyond keywords. Learn how to handle technical attributes, part numbers, and compatibility with confidence.

August 25, 2026
AP
Alok Patel
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Image-to-Product Matching: How to Set Expectations for Variants, Similarity, and Availability
Product Discovery

Image-to-Product Matching: How to Set Expectations for Variants, Similarity, and Availability

A non-numeric evaluation scorecard for separating visual resemblance from catalog identity, sellable-variant evidence, uncertainty, and availability. Visual similarity shows that a catalog candidate resembles an image. It does not, by itself, establish that the candidate is the same catalog item, that the image represents a specific sellable variant, or that the resolved variant is available...

August 18, 2026
AP
Alok Patel
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Best Search and Discovery Tools for Fashion Ecommerce
AI Search

Best Search and Discovery Tools for Fashion Ecommerce

Fashion ecommerce needs search and discovery tools that can handle visual intent, style ambiguity, size complexity, and fast-changing inventory. The best platforms combine semantic search, visual search, personalization, filters, and merchandising so shoppers can move from inspiration to purchase without friction. For fashion brands in 2026, the strongest tools are the ones that help shoppers...

August 14, 2026
AP
Alok Patel
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How to Use Filters to Reduce Product Discovery Friction
Product Discovery & Personalization

How to Use Filters to Reduce Product Discovery Friction

Product discovery friction is one of the biggest hidden reasons shoppers leave an ecommerce store without buying. When people cannot quickly narrow down products, they get overwhelmed, lose confidence, and abandon the journey. Filters solve this problem by helping shoppers move from “too many options” to “the right options” in fewer steps. For Shopify stores...

August 10, 2026
AP
Alok Patel
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When “No Results” Is Correct: A Triage Decision Tree for Ecommerce Search
AI Search

When “No Results” Is Correct: A Triage Decision Tree for Ecommerce Search

From answering shopper questions to guiding product discovery, conversational shopping is redefining ecommerce. Explore what it is, why it matters, and how brands can prepare for it.

August 7, 2026
AP
Alok Patel
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How to Turn Search Into a Guided Shopping Experience
Ecommerce

How to Turn Search Into a Guided Shopping Experience

Search 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. Most stores still treat search...

July 30, 2026
AP
Alok Patel
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How to Balance AI Search Accuracy with Revenue-Driven Merchandising
AI Search

How to Balance AI Search Accuracy with Revenue-Driven Merchandising

AI search has changed ecommerce discovery by making results more relevant, more contextual, and easier to browse. But as brands add merchandising rules, boosts, and promotions, they often face a hard question: how do you keep search accurate while still driving revenue? The answer is balance. Search should satisfy shopper intent first, but it also...

July 27, 2026
AP
Alok Patel
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How AI Search Adapts to Returning Shoppers and Repeat Intent
AI Search

How AI Search Adapts to Returning Shoppers and Repeat Intent

AI search becomes much more powerful when it recognizes that not every shopper is new. Returning visitors often have different goals, stronger signals, and clearer preferences than first-time users. When a search system adapts to repeat intent, it can make the shopping experience faster, more relevant, and more likely to convert. For ecommerce brands, this...

July 24, 2026
AP
Alok Patel
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