The short answer
Choose an AI shopping assistant for ecommerce the way you would hire a great salesperson. It should understand shoppers in their own words, ask before it suggests, know your catalog down to sizes and fit, explain every pick in your brand’s voice, and leave the purchase to the shopper. Then check that it hands off to your team cleanly and shows you what shoppers ask.
Travis, the voice-first AI shopping concierge from Lone Star Ascent AI, is built around that list. It is live with Alvies boots at meettravis.ai.
What an AI shopping assistant does
Google’s AI Overview for “AI shopping assistant ecommerce” sums up the category as natural-language assistants that replace rigid keyword search with a personal, conversational way to discover and buy. On your own store, that means a shopper can say what they need the way they would to a salesperson, and get a few matched products with reasons instead of a grid and a filter menu.
The same overview splits the market three ways: assistants shoppers bring with them, agents that act for shoppers, and assistants that brands run on their own sites. Only the last one is yours: your catalog, your voice and your relationship with the customer.
Why it matters now
- Shoppers arriving from AI convert better. Adobe found AI-referred visits to US retail sites converted at a rate 60% higher than other traffic in July 2026, with 53% more revenue per visit. It was the 11th month in a row that AI traffic converted better.
- There will be more of them. Adobe expects AI traffic to US retail sites to grow 130% year over year this holiday season.
- They want help, not autopilot. In Deloitte’s 2026 Holiday Retail Survey, 39% of US consumers said generative AI is their primary tool for at least one holiday shopping task, but only 16% would let it complete a purchase.
These shoppers have just described what they want to an AI. A store that can answer the same way keeps that momentum. A filter menu asks them to start over.
8 questions to ask before you choose
1. Does it understand shoppers’ own words?
Test it with real phrases from your reviews and customer service inbox, like “something I can stand in all day” or “boots for a fall wedding”. It should map them to the right products, not to keyword matches.
2. Does it ask before it suggests?
A good salesperson’s first move is a question. The assistant should ask about the occasion, the fit or the outfit when it needs to, then recommend a short list.
3. Does it know your catalog in depth?
Sizes, widths, fit notes, materials, care and stock. It should recommend only what you sell, and say so when something isn’t available.
4. Does it explain each pick in your brand’s voice?
The reason behind a pick is what builds confidence. It should describe products the way your best associate would, including the stories behind them. We cover this in What a voice concierge needs to know about your brand.
5. Does it work by voice, text and tap?
Adobe projects that 57.4% of online holiday sales this year will be made on phones. On a phone, shoppers should be able to talk, type or tap, in one conversation. Travis is built for exactly that: Talk it. Type it. Tap it.
6. Does it keep the shopper in control?
It should check the size before anything goes in the cart, add items only when asked and leave checkout to the shopper. With only 16% of shoppers ready to let AI complete a purchase, control is part of the experience.
7. Does it hand off to your team?
Order status, returns and anything that needs a person should reach your customer service team, with the context of the conversation.
8. Does it show you what shoppers ask?
Every question about fit, occasion or styling is product and marketing insight. You should be able to read the conversations and measure how they lead to carts and sales.
How to run a fair test
- Collect 20 real shopper questions from reviews, customer service and your store team.
- Ask every assistant the same questions, by voice and by text, on a phone.
- Score each answer: the right products, a useful follow-up question, an accurate fit answer, on-brand wording and the right size in the cart.
- Have one of your best store associates review the answers. If they would say it differently, so should the assistant.
What this means for brands
AI is changing how shoppers arrive, not what they need. They still want someone who listens, knows the product and gets the fit right. The right AI shopping assistant gives every shopper that on your own site, in your own voice.
Sources
- Adobe Analytics AI referral traffic data for July 2026, reported by Digital Commerce 360, August 19, 2026
- Adobe 2026 holiday forecast, reported by Digital Commerce 360, September 29, 2026
- Deloitte, 2026 Deloitte Holiday Retail Survey (4,000 US consumers), October 15, 2026
FAQ
What is an AI shopping assistant for ecommerce?
A conversational layer on an online store. Shoppers describe what they need in their own words, and the assistant asks follow-up questions, recommends matching products with reasons and adds the right item to the cart.
How is an AI shopping assistant different from a support chatbot?
A support chatbot answers questions about orders and policies. An AI shopping assistant helps shoppers choose: it asks about the occasion and fit, recommends products and explains why.
What should an AI shopping assistant know about my products?
Sizes, widths, fit notes, materials, care, stock and the stories behind each product, plus when to hand a shopper to your team.
Should an AI shopping assistant complete purchases for shoppers?
Most shoppers aren’t ready for that. Only 16% of US consumers in Deloitte’s 2026 Holiday Retail Survey would let generative AI complete a purchase. Adding to the cart on request and leaving checkout to the shopper keeps them in control.
Can an AI shopping assistant work by voice?
Yes. Travis is voice-first: shoppers can talk, type or tap in the same conversation at meettravis.ai.
