
Applied AI for Distributors: the room agreed on the bottleneck
Every keynote at Applied AI for Distributors agreed the real bottleneck isn't the AI model — it's your product data. Here's the part the mainstage left out.
Topic
What is changing across distribution, retail, and manufacturing — and what it means for your catalog.

Every keynote at Applied AI for Distributors agreed the real bottleneck isn't the AI model — it's your product data. Here's the part the mainstage left out.

Footwear catalogs are full of gaps in width, last, and material data. Here's what that costs in 2026, and why AI shopping agents make it worse.

Apparel product data is still thin and inconsistent in 2026 — here's what it costs in returns and lost AI visibility, and how to fix it.

The 2025 switch from R-410A to A2L refrigerants replaced a generation of model numbers overnight. The distributors winning the aftermath treated it as a product-data problem, not a refrigerant one.

Furniture and home catalogs still ship thin, inconsistent product data — and in 2026, AI shopping agents and marketplaces are done tolerating it.

Office supplies catalogs are riddled with thin, inconsistent product data — and in 2026, AI shopping agents make that a revenue problem, not just an annoyance.

Jewelry and watch catalogs are thin on the attributes shoppers and AI agents both need. Here's what that's costing brands in 2026, and how to fix it.

Health & Supplements product data is thinner than the $72.9B category can afford — here's what it's costing retailers and why 2026 raises the stakes.

Grocery and CPG catalogs are still thin and inconsistent in 2026, and AI shopping agents now punish that instantly. Here is the real cost and what to fix first.

Beauty catalogs are full of missing shades, vague claims, and inconsistent INCI lists. Here's what that actually costs, and why AI shopping agents raise the stakes.

Electronics catalogs are thinner than they look. Here's what's breaking in 2026, what it costs in returns and lost search, and why AI agents raise the stakes.

Skincare catalogs are thinner than they look. Here's what's actually missing, what it costs in returns and lost search, and why 2026 raises the stakes.

Sporting goods catalogs are full of gaps in size, fit, and use-case data. Here's what that actually costs in search, conversion, and returns.

Thin pet product catalogs cost more than lost sales. Here's what messy data does to search, conversion, and AI shopping visibility in 2026.

Datacom and networking distributors are losing deals to thin, inconsistent product data — and 2026's AI-search shift makes the gap impossible to ignore.

Welding & Gas catalogs run on inconsistent manufacturer feeds and PDF spec sheets — 2026's AI search and buyer shift make that a lost-deal problem.

Thin, inconsistent appliance product data is quietly costing retailers search visibility, conversion, and margin — and 2025-2026 AI shopping raises the stakes.

Pool and spa catalogs still run on flat files and PDFs in 2026. Here's what broken product data really costs distributors, manufacturers, and search rankings.

Plumbing & PVF distributors lose sales to incomplete SKU data, thin PDPs, and AI-search invisibility. Here's what's broken and what it's costing.

Foodservice equipment distributors lose sales to incomplete specs and thin PDPs. Here's what's broken in 2026, what it costs, and why AI search raises the stakes.

Medical and dental distributors are losing sales, returns, and AI search visibility to incomplete product data. Here's what's broken and what it costs in 2026.

Oilfield & energy product data is still stuck in PDFs and cut sheets. Here's what's broken in 2026, what it costs, and why AI search raises the stakes.

Pumps and fluid power product data in 2026: what's broken, what it costs distributors, and why AI search and buyer shifts make fixing it urgent.

Why AI shopping agents are the new storefront, and how retailers and distributors keep product data complete enough to win the agent's pick.

Waterworks and utility product data in 2026: what's incomplete, what it costs distributors, and why AI search and buyer shifts raise the stakes.

Electronic components distributors lose sales to thin PDPs and bad feeds. Here's what messy product data actually costs in 2026, and why it's urgent now.

Fastener distributors are growing again in 2026, but incomplete specs, wrong grade markings, and thin PDPs still cost sales and safety.

MRO distributors lose sales to thin PDPs and bad feeds every day. Here's what's broken in 2026, what it costs, and why AI search raises the stakes.

Fitment errors still drive the most auto parts returns even as ACES/PIES evolve. Here's what's broken in aftermarket product data in 2026 and what it costs.

Electrical distributors face incomplete feeds, thin PDPs, and AI-search invisibility in 2026. Here's what's broken, what it costs, and what fixes it.

Incomplete feeds, thin PDPs, and AI-search invisibility are costing building materials distributors sales. Here's what's broken and what it costs.

Jan/San and packaging catalogs are full of thin, inconsistent product data, and 2026 buyer and AI-search shifts are turning that gap into lost deals.

HVAC/R catalogs are drowning in A2L SKUs and thin feeds while buyers shift to AI search. Here's what's breaking, what it costs, and how to fix it.

Safety & PPE product data is thin, inconsistent, and invisible to AI search — and 2026's Z87.1 update, buyer shift, and channel pressure make it costly.

Incomplete parts feeds, thin PDPs, and AI-search invisibility are quietly costing ag and turf dealers sales in 2026. Here's the mechanism and the fix.

Lighting's product data is stuck in PDFs and half-filled spec sheets. Here's what that costs in returns and lost search, and why 2026 raises the stakes.