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.

Kraft Heinz logo in white text with Kraft in bold and Heinz in italic serif font.SchnucksThe word 'Sonae' in large white letters with a distressed brushstroke texture.Carrefour logo in white on a black background.Ahold Delhaize logo with a crowned lion emblem to the left of the company name in white text.Intermarché logo in white text with a stylized underline.Weis Markets logo with stylized text.Bold uppercase text spelling 'METRO' in a modern sans-serif font.Save Mart logo with stylized leaf and circular design to the left of the text in script font.Campbell's brand logo in white script font.Coca-Cola brand logo in white script on transparent background.Save Mart logo with stylized leaf and circular design to the left of the text in script font.

By then, promotions have already underperformed, competitors have already moved, and margin has already leaked.

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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.

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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.

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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.

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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.

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.

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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.

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$182M incremental profit
validated at a top U.S. grocery retailer. $93M of that came from promotion optimization alone, across ~300 AI-driven projects.
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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
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15 – 25% promo ROI improvement
across CINDE Merchandising Intelligence deployments, with 8-12% promo lift improvement
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+8% incremental sales lift
at PepsiCo Northern Europe after deploying AI-driven shopper clustering and tailored assortments across 1,000+ retail locations
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35% faster
shelf reset execution
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Three shopper-led store clusters
replaced static planograms at 96% market penetration.
How does CINDE reduce category review time?

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.

What is the difference between Merchandising Intelligence and traditional retail analytics?

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.

How does promotion optimization work with AI?

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.

Can CPG partners access Merchandising Intelligence?

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.

See what your category team is missing

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