Webeyez

Fix the friction before they leave

Webeyez spots the exact moment a shopper’s session breaks. Webscale’s AI Shopping Assistant steps in immediately and fixes it, before that shopper is gone for good.

Webeyez Signal detected 0.4s
caliper 2018 silverado 1500 rear
No results found
Session continues
Shopper searching a storefront on a phone
Merchant storefront Store assistant Replied in 1.2s
Looks like that search hit a dead end. Let me see if I can help.
Rear caliper for an ’18 Silverado depends on brake package. Standard or heavy-duty?
Rear brake caliper, heavy-duty Rear caliper, heavy-duty Part 1861A, in stock
Powered by
Same session, no handoff
Available today on every supported platform Signal to answer inside the same session No storefront redesign, no new stack

The cost of doing nothing

Here’s what a bad search bar actually costs you

$234billion

That’s what US retailers lose to search abandonment every year. Most of it is invisible until it shows up as a number in next quarter’s report. By then the shopper already bought from someone else.

Google Cloud and Harris Poll.

How it works

Webeyez finds the break.
We fix it.

Webeyez watches every session for the moment something goes wrong. Webscale’s AI Shopping Assistant is standing by to act on it immediately. One partner sees the problem. The other solves it. Same session, same shopper, same conversation, before they’ve decided to leave.

Detection and intervention on one path
Friction, as it happens
Live
Failed search
Query returns nothing that fits
search_no_results
Live
Slow page
Load time degrades mid-session
page_latency_high
Live
Unproductive browse
Pages deep, no product viewed
unproductive_browse
Live
Exit intent
Cursor heads for the tab bar
exit_intent
Live
Idle on fitment
Stalled on a compatibility question
idle_on_fitment
Live
Your own triggers
Built to your storefront in onboarding
custom_trigger
WebeyezSignal layer

Webeyez reads every live session in the background and names the break the moment it happens, then fires that signal onward.

signal fired, 0.4s
Intervention

The AI Shopping Assistant opens on the storefront in that same session, asks what the shopper actually needs, and hands them a real product.

Every storefront has its own friction points. During onboarding, we build the exact triggers yours needs, not just the ones above.

See it in action

Pick a signal. Watch the save.

Webeyez reads behavior in the background, with nothing in the shopper’s way. The moment friction shows up it fires a signal, and the assistant opens on the storefront mid-visit.

Pick a scenario to play it
Storefront
store.example.com/search?q=caliper+2018+silverado+1500+rear
0 resultsTry a different search term
store.example.com/brakes/calipers?page=4
Brakes/CalipersPage 4 of 12
Brake rotor Brake pads Wheel hub assembly Brake caliper
11:04 on site, 0 products viewed
store.example.com/guides/fitment
Fitment guide
Model year2018 Brake packageUnknown Rotor diameterUnknown
Idle 0:38, cursor moving to the tab bar
Backend
Webeyezsignal: search_no_resultsfired, 0.4s
Webeyezsignal: unproductive_browsefired, 0.4s
Webeyezsignal: exit_intentfired, 0.4s
Assistant
Merchant storefrontStore assistant
Looks like that search hit a dead end. Let me see if I can help.
Rear caliper for an ’18 Silverado depends on brake package. Standard or heavy-duty?
Rear brake caliper, heavy-dutyRear caliper, heavy-dutyPart 1861A, in stock
Powered by
Merchant storefrontStore assistant
Lot of pages, not much luck. Want me to shortcut this?
Tell me the year and model and I’ll take you straight to the parts that fit.
Your vehicle
2018Chevrolet
Silverado 1500Find parts that fit
Powered by
Merchant storefrontStore assistant
Before you go, I can confirm fitment for you in one question.
Yes, check fitmentNot now
Powered by

Runs on your stack

Works on the platform you already run

Webeyez passes the signal, the Assistant responds immediately, and your storefront looks and loads exactly the same. It runs on the stack you already have, with no redesign, and it gets a lot better at catching the sale you were about to lose.

Adobe Commerce and Magento
Shopware
Shopify
WooCommerce
Signal inWebeyez sends the friction event as it happens.
Answer outThe assistant opens in that session and responds.
StorefrontLooks and loads exactly as it did before.

Built for merchants who feel this the most

Premium cigars
Regulated categories

Where a wrong answer is a liability, not just a bad experience.

Industrial fasteners and a bearing
B2B catalogs

Where one shopper can’t find one part in a hundred thousand SKUs.

A technical specialty component
Specialty retail

Where the product only makes sense once someone explains it.

If your shoppers have to ask questions to buy, this is built for you.

Webeyez Uri StraussUri StraussFounder and CEO, Webeyez

“For a decade, ecommerce analytics has been very good at telling merchants what went wrong and very bad at doing anything about it. Conversational AI changes that equation. Webeyez supplies the signal that a shopper is stuck, Webscale’s assistant acts on it in real time. Detection and resolution stop being two separate products. This is the kind of partnership where one plus one equals three, and we’re moving on it with real urgency ahead of the holiday season.”

FAQ

Questions we get asked

It connects Webeyez's real-time friction detection to the Webscale AI Shopping Assistant. When Webeyez flags a failed search or a stalled session, the Assistant steps in immediately with a real answer instead of the shopper leaving.

Webeyez watches live sessions for signals like failed searches, slow page loads, unproductive browsing, and exit intent, and flags them the moment they happen.

It engages the shopper directly, in the same session, clarifying what they need and pointing them to a real product or a faster path to one.

Adobe Commerce and Magento, Shopware, Shopify, and WooCommerce.

Yes. The integration connects an existing Webeyez deployment to an existing Webscale AI Shopping Assistant deployment on the same storefront.

Contact sales@webscalenetworks.com and we will walk you through it.

Stop guessing where shoppers give up. Start catching them.

Webeyez