The AI Operating System for Commerce. Three engines bring together creator activity, consumer conversations and the full commerce mix. The GTM Decision Engine turns that intelligence into the next move.
Brand and performance work together. Your decisions should, too. The Commerce Command Centre brings specialist intelligence into one commercial conversation, so each channel is considered in the context of the growth you need.
Three engines that see commerce. One decision engine that helps your team steer it. Connect what is happening in your market to where you invest, what you activate and what you learn next.
Competitor information, MMM findings and insights from all three engines come together in the Commerce Command Centre. Understand the evidence. Choose the next move. Learn from the result.
Understand what drives growth. Choose where to shift spend, how to respond to competitors and which creator opportunities to support. Learn from the result and move faster.
AI hosts and digital twins, trained on your brand. Turn product conversations into conversion, and put consumer insight to work in live commerce.
AI hosts answer product questions and guide the purchase. Digital twins help you test the message. Feed what consumers ask and buy into your creator briefs and commerce decisions.
Explore this solutionTrack hundreds to thousands of creators and competitors live. Connect creators to commerce, identify incremental sales and scale the winners.
Creator → SKU → retailer → transaction. See which relationships drive commerce and how a competitor’s creator investment performs before your next QBR.
Explore this solutionLeapfrog legacy MMM with the full commerce mix. Get findings in 2–6 weeks and simulate where your next dollar will work harder.
Measure brand, creators, retail media, trade, price and distribution together. Granular analysis and an agentic interface help you assess the result, compare allocations and simulate the next investment.
Explore this solutionUnderstand what contributes to sales and where investment reaches diminishing returns.
Compare spending scenarios against your objectives and constraints. Choose the action your team will take.
Review what happened, feed the findings into your next decision and improve the plan as you learn.
Compare what a different mix of brand, retail media, creator and trade investment could deliver. Connect the recommendation to your commercial priorities before putting it to work.
The purpose is faster execution and replanning. Compare a recommendation, decide what to approve and review what happens next.
AI Catalyst curates and coordinates the solution with you. The selected partners handle data, technology and implementation. Together, we keep the work tied to the business question and make the handoffs clear.
See how we work
Tell us what needs to be understood, measured or moved next.
Work directly with senior operators in a focused pilot. Full Commerce MMM delivers initial findings from your market and data in 2–6 weeks.
See how the engagement works ↗