AngleraNAW Innovators Summit

NAW Innovators Summit 2026

Nashville · September 16–18

Product data built for distribution

Your catalog is only as good as your worst supplier feed.

Anglera turns PDFs, spreadsheets, portals, images, and thin EDI feeds into complete, source-traced product records—so every SKU can be found, trusted, and sold.

See Anglera live

Thu, Sep 17

10:30 AM · Room A

Ray Iyer joins NAW CRO Dan Schuberth for a focused fireside chat on turning broken supplier data into a digital experience that sells.

Bring your ugliest category.

We’ll run it on your data, not ours, during a private appointment.

The inbound problem

Supplier data was written to describe the product—not to sell it.

Your team inherits every supplier’s format, vocabulary, omissions, and old attachments. The work piles up before a single SKU is ready for your PIM, webstore, sales reps, or AI search.

A spreadsheet

with 14 tabs

A PDF catalog

last updated in 2019

A portal login

to download another spreadsheet

An EDI feed

with eleven fields

An email attachment

called IMG_4471.jpg

What manual onboarding costs

30–45

minutes per SKU

30–50%

attribute completeness

5,000

hours per 10K new SKUs

1

catalog that still has to sell

The missing values do not disappear. They move into product experts’ heads, branch phone calls, zero-result searches, and lost digital revenue.

Why this is on the CEO’s desk

The cost isn’t the hours. It’s everything downstream.

Search returns zero results

The buyer opens the next tab.

Every page looks the same

You compete on price instead of expertise.

AI cannot recommend you

Thin product data keeps you out of the answer.

Reps answer page questions

Your experts repeat the same work, branch by branch.

Your best people know which SKU solves which problem. Anglera gets that knowledge into the catalog—and keeps it there.

What changed

AI stopped guessing and started reading.

Anglera reads the product across every available source, applies your rules, cross-checks the result, and shows exactly where each value came from.

Spec sheet PDFManufacturer siteProduct imageSupplier feed

One supplier spec sheet

Nine models. 279 attributes.

A
96
UH
2
E
110
C
20

Model number says 110K BTU. The spec table agrees. Disagreements go to a person—never silently into production.

Running today

Product data your team can put into production.

No generic demo catalog. These are distributor programs running on real supplier documents, real schemas, and real operating constraints.

Bath & kitchen distributor

12,000+

SKUs live in week one

A complex catalog became searchable in days, not quarters.

Fortune 100 distributor

500K

SKUs moving to production

A twelve-week pilot is now rolling across the full catalog.

Electrical distributor

18 → 3

days to launch a new SKU

Completeness rose from 35% to 88%; search conversion increased 22%.

Same headcount. The people who did data entry now do enrichment and QA.

Managing it at scale

Stop running cleanups. Start running a practice.

Product data is inventory, not a renovation. You wouldn’t count it once and stop.

Onboard

Every supplier feed, automatically.

Enrich

Every SKU, against a clear SLA.

Monitor

A weekly scorecard, not a surprise.

Optimize

Zero-result searches become catalog fixes.

The executive checklist

Six things to demand from anyone selling you AI for product data. Us included.

  1. 1

    Reads unstructured sources

    PDFs, images, and documents—not just clean feeds.

  2. 2

    Separates maker from checker

    One model proposes; another verifies against the source.

  3. 3

    Lets you set confidence thresholds

    Your team controls what goes to human review.

  4. 4

    Honors source precedence

    Your rules decide which evidence wins.

  5. 5

    Learns from corrections

    A fix updates the system, not just one cell.

  6. 6

    Keeps a full audit trail

    Every value remains traceable.

If a vendor can’t answer #3 and #6, they have a demo—not a production system.

Meet Anglera at NAW

Bring your ugliest category.

We’ll run it on your data, not ours. Send a supplier file, a category export, or one product page and we’ll show you the before-and-after—with sources.

QR code for the Anglera NAW page

Keep this page handy

The same QR works on the fireside slide, handouts, badges, and follow-up emails.

Send us the category

A product-page URL, supplier portal, or category name is enough to start.

We’ll use this only to prep your sample and follow up.