SOLUTIONS
Gravton for Enterprise Retail
Measure and improve AI shopping journeys across every category, brand, market and channel
Enterprise retailers and multi-brand groups manage thousands of SKUs, many categories, and multiple storefronts across markets, all on a stack built over years. AI shopping is now part of the entire process, from the first question to checkout—sometimes even within the answer itself. Every enterprise is different, so Gravton is configured specifically for your needs.
THE PROBLEM
What makes AI shopping hard at enterprise scale
Most enterprise teams know the usual tactics. The real challenge is making them work at this scale and complexity.
Too much to act on
Tens of thousands of products and far more possible shopper questions. Teams can’t act on everything, so the real problem is knowing where to focus.
“A thousand flagged issues, and no view of which twenty matter.”
Every category loses differently
One category lacks outside reviews, another misses occasions and use cases, a third has weak attributes. A catalog-wide average hides all of it.
“Overall visibility looks stable while one category loses to a competitor.”
Variants and links go wrong
AI shows the wrong size, colour or pack, defaults to the most expensive option, or links to a homepage instead of the product.
“AI shows your largest pack, so you look pricier than a competitor at the same unit price.”
Product truth drifts across systems
Prices, stock and product facts change constantly and don’t reach every feed, storefront and marketplace at the same time. Clean feeds alone don’t fix the delay.
“AI quotes a price your site changed last week.”
Many markets and channels
Several storefronts and countries, plus marketplaces, retail partners and physical stores. AI sends shoppers to different places in each.
“Shoppers in one market reach your site. In another, they are routed to a marketplace.”
Results are hard to measure
Much of the research happens without a click, and some AI platforms now let shoppers check out inside the answer. Standard attribution misses most of it.
“AI-assisted orders are rising, but no report ties them to a category.”
Many teams, many tools
SEO, paid search, web, app, category, merchandising and brand teams each own a piece, often with their own tools. Leadership wants one view, not another dashboard.
“Several teams and tools, and no shared answer to which categories are losing.”
Your stack
This all runs on systems built over years—commerce platforms like Salesforce Commerce Cloud, Adobe Commerce, SAP, or custom builds; product info systems; CMS; Google Merchant Center and marketplace feeds; analytics tools like Google Analytics or Adobe Analytics; and search platforms. Any AI shopping solution must work with your stack.
WHAT GRAVTON DOES
Configured to your business, with the metrics to run it
Every engagement starts by setting up Gravton for your business—how your catalog is structured, which categories, brands, and markets matter, how your teams work, and where your data lives. Our team works directly with yours to set things up. After that, the platform runs across your catalog, with each module linked to its own page.
Demand Intelligence
What shoppers ask AI, by category, brand and market, and where demand is moving
Relative demand by intent, intent coverage, emerging intents, seasonal questions, new competitors
Product & Retail Intelligence
Which SKUs and variants AI recommends, and where it sends shoppers to buy
Catalog coverage by category, product visibility, answer outcome, buy-button share by storefront and retailer, price and stock gaps, attribute strength, source standing
Action Engine
Which fixes matter most, category by category, and getting them done
Fixes ranked by impact, fixes shipped, attributes enriched, consistency issues resolved
Measurement
Whether the work moved anything
Visibility, recommendation share, share of voice, position, sentiment, citation share, AI-assisted sessions, demand at risk
MULTI-BRAND GROUPS
If you run several brands across multiple categories, you need to see both the big picture and the details. Leadership needs to know which brands and categories win which shoppers, and where the group is losing ground. Each brand and category team needs its own view, priorities, and—for brands—its own voice.
Portfolio view. Every brand and category side by side, by market and channel.
Cut it either way. Read results by brand, by category, or both.
Control at team level. Separate seats, views, and fix lists for each brand or category team.
Overlap between your brands. See where two of your own brands compete for the same recommendation, and where neither shows up.
One standard, many voices. Consistent product data standards across the group, while keeping each brand’s tone intact.
FAQs for enterprise retail
See how AI shops your categories
We'll show where your categories win, where they lose, and which fixes matter first.