Merchandising Intelligence

Validate Product Placement Strategies

Verify that products sit next to their intended neighbors. Detect misplaced items, validate merchandising rules, and protect strategic placement decisions across every store in your network.

What You Can Validate

From cross-sell placement to competitive blocking—ensure your merchandising strategy is executed exactly as designed.

Expected vs. Actual Neighbors

Define which products should sit next to each other. ShelfMind flags when actual placement deviates from planogram intent.

Cross-Sell Validation

Verify that complementary products sit together. Coffee next to filters. Pasta next to sauce. Batteries next to toys.

Competitive Blocking

Ensure competing brands are separated—or clustered—per strategy. Detect when competitors breach premium zones.

Brand Clustering Rules

Validate that brand families are grouped correctly. Detect when store teams break category adjacency logic.

Misplacement Detection

Flag products that sit in the wrong fixture, wrong shelf, or wrong zone entirely. Generate store-level fix lists.

Deviation Scoring

Rank stores by adjacency compliance. Focus audits on locations with high misplacement rates or strategic violations.

Why Adjacency Matters

Product placement isn't random. Strategic adjacency drives impulse purchases, blocks competitors, and supports basket-building.

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Drive Basket Size

Complementary products placed together increase basket size. Coffee next to filters. Pasta next to sauce. Cross-sell happens at shelf level.

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Protect Competitive Position

Strategic placement blocks competitors from premium zones, isolates low-margin SKUs, and reinforces brand dominance.

Validate Execution

Planograms specify placement for a reason. When store teams improvise, merchandising strategy breaks down—and revenue suffers.

Real-World Use Cases

From cross-sell validation to competitive blocking—adjacency rules drive better merchandising outcomes.

Cross-Sell Optimization

Premium coffee should sit next to filters and creamers. ShelfMind detects 37 stores where coffee is isolated—missing cross-sell opportunities worth $12K/month.

Competitive Blocking

Private label should be separated from premium national brands. Adjacency data shows 14 stores violating this rule—diluting premium positioning.

Category Clustering

Organic products should be grouped together for shopper convenience. ShelfMind flags stores where organic SKUs are scattered—confusing customers.

Supplier Agreement Validation

A supplier paid for end-cap placement next to complementary products. Adjacency data proves 22 stores violated placement terms—grounds for rebate recovery.

Built for Your Team

Whether you're designing planograms, auditing stores, or managing category strategy—adjacency validation protects execution quality.

Category Managers

Validate strategic placement rules and protect cross-sell opportunities designed into planograms.

Merchandising Ops

Audit placement compliance, detect misplaced products, and generate fix lists for store teams.

Suppliers & CPG

Validate placement terms in supplier agreements and prove premium positioning compliance.

Ready to protect strategic placement?

Stop losing revenue to misplaced products. Validate adjacency rules and protect merchandising strategy with precision.