Store Intelligence
Eyes on every shelf. Action on every gap.
Computer vision that detects out-of-stocks, verifies planograms, and routes dollar-ranked tasks to your store teams before the sale is lost.
Your store teams catch what they can see.
They miss phantom inventory, planogram violations, and out-of-stocks in low-traffic sections. Manual audits sample a fraction of shelves. Image recognition finds 50-200% more gaps than traditional scanning methods. The gaps you are not finding today are the ones costing you the most.
Introducing CINDE Store Intelligence
Every shelf scanned, every gap scored
Computer vision detects out-of-stocks, planogram violations, misplaced items, and pricing errors across your entire store network. No manual audits. No sampling.
Tasks ranked by dollars at risk
Every issue is ranked by revenue impact and aligned with active promotions and available inventory. Your teams fix the highest-value problems first.
Phantom inventory caught early
When the system says “in stock” but the shelf is empty, replenishment never triggers. Store Intelligence finds what conventional inventory systems cannot see.
Shelf data your CPG partners will pay for
Turn store execution data into a revenue stream. CPG brands get real-time availability, share of shelf, and compliance reporting through structured collaboration programs.
How it works: Aisle to Action
See.
Vision AI captures shelf reality across every aisle, every store.
Score.
AI ranks every gap by revenue at risk.
Route.
Prioritized tasks reach the right person at the right time.
Learn.
Every action feeds back, improving accuracy each cycle.
Retail AI assistants
Store Intelligence is adding AI assistants that go beyond detection, diagnosing root causes and recommending actions.
StoreAI Assistant (coming soon)
Continuous monitoring across all store execution dimensions. Detects patterns across OSA, compliance, and labor allocation; surfaces prioritized recommendations for store operations leaders.
Unified Shelf Assistant (coming soon)
Connects assortment optimization, space planning, and computer vision to close the gap between planned shelf strategy and actual store-level execution.
Real outcomes, proven in production
+9 points
on-shelf availability at a major U.S. convenience retailer
91% reduction
in shelf scanning labor: 5.5 minutes to 30 seconds per section
+21 points
planogram accuracy at a leading Canadian grocer. Sustained over 12 weeks, with +2% category sales
+4%
revenue increase at a 1,000+ location U.S. convenience chain after full rollout
+7 points
on-shelf availability and +20 points planogram execution, deployed at scale across the entire network
2-5%
sales increase across Store Intelligence deployments
+6 points
Average OSA improvement (Europe +3.9 points, U.S. +8.5 points)
+18.9 points
Average shelf compliance improvement (Europe +15.9 points, U.S. +22.0 points)