Merchandising Intelligence
Category intelligence that acts, not just reports.
CINDE Merchandising Intelligence detects underperforming promotions, diagnoses pricing misalignment, and recommends actions inside your team's existing workflow.
Your category managers spend 5+ hours a week assembling data
By then, promotions have already underperformed, competitors have already moved, and margin has already leaked.
Introducing CINDE Merchandising Intelligence
Category reviews in minutes, not days
AI assistants scan every category, every store, every week. They surface the exceptions that matter, explain why they’re happening, and recommend what to do. Your team spends their time deciding, not assembling.
Promotions evaluated before they run
PromoAI evaluates promotion plans against live signals (inventory, competitive pricing, seasonal patterns) before the promotion launches. When a promo is likely to underperform, your team knows before the money is spent, not after.
Competitive response in hours, not weeks
Same-day alerts when competitors move on price or promotion. AI-generated response recommendations with estimated impact. Your pricing team responds while the window is still open.
Retailer-CPG collaboration on shared data
Move from quarterly data dumps to continuous joint execution. Retailers and CPG partners work on the same data, the same insights, and the same action plans through CINDE Collaborate.
Merchandising Intelligence has distinct layers, each adding powerful capabilities
CINDE Retail Intelligence
Analytics and insights across all merchandising domains. Sales Intel, Shopper Intel, Promo Intel, Price Intel, Media Intel, Assort Intel. Read-only, but comprehensive.
AI Assistants
AI-driven detection, diagnosis, and recommended action. Category AI Assistant (available now), Promo AI Assistant (coming soon), Trade Promo Assistant (coming soon). These work inside your existing BI environment. They don't replace your tools; they make your team faster inside them.
Real outcomes, proven in production
$182M incremental profit
validated at a top U.S. grocery retailer. $93M of that came from promotion optimization alone, across ~300 AI-driven projects.
70% reduction in category review time
at Schnucks, where weekly category reviews dropped from 5.5 hours of manual prep to 1 hour of strategic review using CINDE's AI assistants
15 – 25% promo ROI improvement
across CINDE Merchandising Intelligence deployments, with 8-12% promo lift improvement
+8% incremental sales lift
at PepsiCo Northern Europe after deploying AI-driven shopper clustering and tailored assortments across 1,000+ retail locations
35% faster
shelf reset execution
Three shopper-led store clusters
replaced static planograms at 96% market penetration.