Webscale AI Blog
Commerce AI,in practice
Field notes on product discovery, agentic commerce and the AI merchants can actually trust. Written by the people building it.
19 articles · Agentic Commerce · Product Discovery · Adobe Commerce · Audience Segmentation · Sales & Service Chat · Partnership 01 Why your products don't show up in AI answers 02 Do you need a PIM for agentic commerce? 03 How to prepare your product data for AI shopping agents 04 Why AI gives wrong answers about your products 05 How to turn what your product experts know into data AI can use 06 BFCM Is a Product Discovery Test Too 07 Does an AI shopping assistant lift conversion on Adobe Commerce? 08 Audience Segmentation shows its work. Your team still decides. 09 Can one assistant handle sales and support for a regulated or high-consideration catalog? 10 Do you need to replace your help desk to add an AI shopping assistant? 11 Why a return shouldn't need a whole new conversation 12 Webscale AI and Webeyez team up to catch shoppers before they leave 13 The support ticket that was actually a sale 14 Why shoppers hate repeating themselves, and what it costs your store 15 Why "no results found" is costing you shoppers who already decided to buy 16 Chatbot or AI shopping assistant? What actually separates them 17 Why B2B buyers give up on your catalog before they ever call sales 18 Fitment and part-number search: helping shoppers find the right fit without knowing the part number 19 Why AI shopping assistants make things up, and how grounded answers fix it
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19 articles
Why your products don't show up in AI answers
October 2, 2026 · 6 min read·Adrian Luna
Do you need a PIM for agentic commerce?
October 2, 2026 · 5 min read·Adrian Luna
How to prepare your product data for AI shopping agents
October 2, 2026 · 7 min read·Adrian Luna
Why AI gives wrong answers about your products
October 2, 2026 · 6 min read·Adrian Luna
How to turn what your product experts know into data AI can use
October 2, 2026 · 6 min read·Adrian Luna
BFCM Is a Product Discovery Test Too
September 24, 2026 · 5 min read·Adrian Luna
Does an AI shopping assistant lift conversion on Adobe Commerce?
September 11, 2026 · 9 min read·Adrian Luna
Audience Segmentation shows its work. Your team still decides.
September 11, 2026 · 6 min read·Adrian Luna
Can one assistant handle sales and support for a regulated or high-consideration catalog?
August 25, 2026 · 5 min read·Adrian Luna
Do you need to replace your help desk to add an AI shopping assistant?
August 20, 2026 · 5 min read·Adrian Luna
Why a return shouldn't need a whole new conversation
August 18, 2026 · 5 min read·Adrian Luna
Webscale AI and Webeyez team up to catch shoppers before they leave
August 14, 2026 · 5 min read·Adrian Luna
The support ticket that was actually a sale
August 13, 2026 · 5 min read·Adrian Luna
Why shoppers hate repeating themselves, and what it costs your store
August 11, 2026 · 5 min read·Adrian Luna
Why "no results found" is costing you shoppers who already decided to buy
August 7, 2026 · 6 min read·Adrian Luna
Chatbot or AI shopping assistant? What actually separates them
July 31, 2026 · 5 min read·Adrian Luna
Why B2B buyers give up on your catalog before they ever call sales
July 24, 2026 · 6 min read·Adrian Luna
Fitment and part-number search: helping shoppers find the right fit without knowing the part number
July 17, 2026 · 6 min read·Adrian Luna
Why AI shopping assistants make things up, and how grounded answers fix it
July 10, 2026 · 5 min read·Adrian Luna
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The Chai · Issue No. 03
Nobody asked you whether you wanted to sell to agents.
Meta shipped a shopping agent, Shopify opened every store to it and Amazon shut it out. Plus UCP breaks its schemas and the labs ask to be slowed down.
- 01Three companies decided whether your store sells to agents
- 02UCP breaks its own schemas, then carries live checkout
- 03Build versus buy, the trust gap and what shoppers expect agents to spend
September 2026
Issue No. 03
The Chai
by
Nobody asked you whether you wanted to sell to agents.
How AI is changing what gets bought and sold