The AI Decision Layer for Commerce

TURN MORE SHOPPER INTENT INTO REVENUE.

Metto understands what shoppers mean, maps that intent to your full assortment, and activates the right discovery and decision experience to help them buy.

Animated Online Concierge demo cycling through petite swimwear, teenage boy shorts, and golf gift customer asks with grounded product recommendations.
Grounded in product and customer context

The Decision Layer in action

THE RIGHT COMMERCE ACTION FOR EVERY SHOPPER INTENT.

A shopper describes what they need. Metto interprets the Shopping Brief, maintains context, and activates the right capability—search, styling, similarity, comparison, or grounded product guidance—without making them start over.

Ask Metto

Mexico City dinner · one conversation

Context active
I need a chic skirt for dinner and drinks in Mexico City.

These options balance polish, movement and comfortable evening wear. The black satin midi is the strongest match for dinner, drinks and easy restyling.

SelectedSatin midi skirt

Satin midi skirt

Your item

Pleated midi skirt

Pleated midi skirt

Oxblood wrap skirt

Oxblood wrap skirt

Olive column skirt

Olive column skirt

Destination + selected product retained

Find it
Ask a follow-up…

A Metto product principle

The useful answer is the one your catalog can prove.

When a product page doesn’t support a claim, Metto says what’s missing and gives the shopper a way to narrow the question.

The revenue loop

Find the leak. Fix the journey. Prove the lift.

Revenue recovery is how Metto enters. The Decision Layer is what Metto sells. Every interaction makes the system stronger.

See how it deploys
  1. 01

    Find the revenue leak

    Metto understands the assortment and reveals where paid-for traffic and owned inventory fail to convert—and why.

  2. 02

    Fix the shopping journey

    The Decision Engine interprets each Shopping Brief and activates the right search, styling, comparison, guidance, or stock-aware experience.

  3. 03

    Prove the lift

    Measure search recovery, relevant product exposure, questions answered, comparison completion, conversion, AOV, attach rate, and sell-through.

  4. 04

    Compound the advantage

    Every brief, result, refinement, click, purchase, return, and sell-through signal can strengthen the Commerce Decision Graph.

Install Metto

One script tag away.

Add one line to the storefront. Metto reads the catalog, places the shopper experience, and returns as the store changes.

<script src="https://metto.com/widget.js" data-site-token="YOUR_TOKEN" defer></script>

Shopify · Next.js · PWA storefronts

One intelligence system · shared learning

The Decision Layer turns product meaning into the next best commerce action.

Available now

The intelligence foundation

Metto Intelligence

Creates Product DNA, understands the assortment and demand, reveals missed revenue, and learns from commercial outcomes.

Product DNADemandOutcomes
Available now

The decisioning product

Metto Decision Engine

Interprets the Shopping Brief, maintains context, applies retailer rules, and chooses what to present, explain, compare, or combine next.

SearchConciergeExperiences
Building toward

The platform destination

An intelligent selling system

The same retailer-owned intelligence powers onsite, offsite, and agent-mediated shopping surfaces—and learns from every outcome.

Retailer beta · Start here

Find the shopper demand your site search is missing.

Metto tests whether your current search understands realistic shopper intent and identifies relevant products already in your catalog that it fails to surface. The audit begins without production integration or site changes.

Please use your company website and a work email on that same domain.

We’ll use these details only to prepare your search audit and follow up on the findings.

Inside the audit

See where shopper intent disappears.

Metto tests realistic shopping missions against your live search and catalog, then traces where relevant products fail to surface or shoppers are forced back into category language.

We compare what your current experience returns with what your assortment can actually support, so the opportunity is grounded in products you already sell—not hypothetical features or invented claims.

The audit surfaces:

  • High-intent shopper missions your current search misses or misreads
  • Relevant products hidden by retrieval, taxonomy, or catalog-context gaps
  • The journeys where grounded guidance could help shoppers decide with confidence

You’ll receive a prioritized missed-demand scorecard, side-by-side search scenarios, and practical recommendations for what to fix or test first.

Analyze My Search