31/07/2026
We tested the same eight messy shopping requests across six ecommerce experiences: native search and an AI shopping assistant on Magento 2, WooCommerce, and Shopify.
The most revealing request contained no product keywords:
"I have a job interview tomorrow."
That simple query exposed the biggest gap in ecommerce search.
💡 Three key findings from the benchmark:
1️⃣ A chatbot is not automatically a shopping assistant.
Understanding shopper intent, finding relevant products, and staying grounded in the catalog is much harder than opening a chat window.
2️⃣ Shoppers describe situations. Catalogs describe products.
A catalog says, "Black leather briefcase."
A shopper says, "I need something professional for an interview tomorrow."
The real value lies in connecting those two.
3️⃣ The best response isn't always the longest one.
Sometimes the smartest answer is a simple follow-up question before making a recommendation.
Across Magento 2, WooCommerce, and Shopify, the biggest differentiator wasn't the storefront—it was the product discovery experience.
That's why we built the AALogics AI Shopping Assistant: to help ecommerce stores understand intent, retrieve relevant products, answer follow-up questions, and guide shoppers toward confident purchase decisions.
This benchmark is directional, based on one catalog, one shopper, and one test session—but it highlights an important shift in how customers search online.
💬 What's the strangest natural-language product request your store has received?
👇 Add this AI feature to your store in a few minutes and enjoy more sales conversions 👇
For Magento Stores: https://lnkd.in/dcNp84QF
For Shopify Stores: https://lnkd.in/dTPX-DQb
For WooCommerce Stores: https://lnkd.in/d5Mb3y6Q