Get the Shopping Assistant live before the holiday rush, with the data work handled for you

We work alongside your team on the catalog, data and configuration behind a working assistant, at no cost, on a go-live date we commit to together.

Claim your spot now

1Signal spotted 0.4s

caliper 2018 silverado 1500 rear

No results found

Detected by

The shopper is about to leave

Shopper facing a dead-end search on her phone

2Assistant steps in Same session

Looks like that search hit a dead end. Which brake package is on your truck?

Heavy-duty.

Then this is the caliper that fits your truck.

Rear caliper, heavy-duty Part 1861A, in stock

Grounded in your live catalog · powered by

The sale is saved, no handoff

3The work that makes it possible

Clean, structured data underneath

None of the above works against a catalog the assistant cannot read. Webscale’s own team does that groundwork before go-live, at no cost.

Catalog and taxonomy structuredAttributes and stock states fixedSpec sheets and docs ingestedFitment and compatibility modeled

Failed search and poor user experience is a serious problem

$234B

Lost every year to shoppers who search a store, find nothing that fits, and leave.

Google Cloud and Harris Poll

“For a decade, ecommerce analytics has been very good at telling merchants what went wrong yesterday. Pairing our friction signals with an assistant that acts inside the same session is the first time that insight becomes a save.”

Uri Strauss
Chief Executive Officer, Webeyez

What Webscale handles

The data engineering for AI Commerce readiness, done by our team

Data readiness is the biggest thing standing between a merchant and an assistant that answers accurately. Webscale has done this work across enough catalogs to know where it breaks, so our team does it for you rather than handing yours a checklist.

Catalog and taxonomy structuring so the assistant can answer accurately against your real catalog
Attribute and platform data fixes for misclassified fields, discontinued and out-of-stock handling
Manual and document ingestion, bringing spec sheets and support documentation into a usable knowledge base
Fitment and compatibility modeling where the vertical calls for it
Prompt instruction and configuration tuning, so the assistant follows your actual business rules and tone
Test cycles and feedback triage through go-live, so issues get caught before your customers see them
A committed go-live date

Let’s do this

Pilot to production

Five stages from kickoff to launch

Kickoff

One session on your catalog, your business rules, and what shoppers ask.

Expert interviews

Time with the people who answer these questions today, capturing what they know.

Data readiness work

Catalog structured, attributes fixed, documentation ingested, configuration tuned.

Testing and acceptance

Test cycles against real shopper questions. You sign off before launch.

Launch

Live on your storefront, on the date set at kickoff.

Kickoff to launch times can vary Most clients average around 30 days.

Enroll

Talk to our team and claim your spot

Tell us what platform storefront is on today and a member of the Webscale team will walk you through the pilot to production process on a short call. Starting now is what puts you live ahead of the holiday rush.

Slots are limited for the free data engineering offer. Enrollment closes once they are filled.