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.
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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
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.
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.
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.
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
Analytics and insights across all merchandising domains. Sales Intel, Shopper Intel, Promo Intel, Price Intel, Media Intel, Assort Intel. Read-only, but comprehensive.
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
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Frequently asked questions about fuel and convenience retail
CINDE’s Category AI Assistant automatically scans every category across every store, detects anomalies and underperformance, diagnoses root causes, and delivers recommended actions inside the merchant’s existing workflow. Category managers review and approve instead of assembling data manually.
Traditional retail analytics tools show what happened. Merchandising Intelligence shows what happened, explains why, predicts what comes next, and recommends what to do about it. The AI assistants take it further by monitoring continuously and surfacing issues before users ask.
CINDE’s Promo AI evaluates planned promotions against live signals (current inventory levels, competitive pricing, seasonal demand patterns, historical performance of similar mechanics). It identifies promotions likely to underperform before they launch and recommends adjustments.
Yes. CINDE Collaborate enables retailer-CPG joint workflows on shared data. CPG partners access shared insights and collaborate on category plans, promotional calendars, and assortment decisions.
