1. Product Data
Product data forms the foundation of every planogram . This includes SKU names, brand details, category classification, pack size, and UPC codes. Accurate product dimensions—height, width, depth, and weight—are critical to ensure products fit correctly on shelves and fixtures.
2. Sales Performance Data
Sales data helps determine which products deserve more shelf space. Retailers use metrics such as units sold, revenue, sales velocity, and contribution to category performance. High-performing and high-margin products typically allocated eye-level positions or additional facings.
3. Inventory and Supply Data
Inventory data ensures planograms are realistic and executable. Information on stock levels, replenishment frequency, lead times, and minimum order quantities help prevent overstocking and out-of-stocks. Aligning shelf space with supply capacity improves operational efficiency.
4. Store and Fixture Data
Accurate store data is essential for consistent execution. This includes store size, aisle dimensions, shelf height, number of bays, fixture types, and shelf adjustability. Without precise fixture measurements, planograms may look good on screen but fail in real stores.
5. Shopper Behavior and Insights
Understanding how shoppers interact with shelves improves planogram effectiveness. Data such as dwell time, purchase patterns, basket associations, and eye-level engagement help retailers place products where shoppers are most likely to notice and buy them.
6. Category and Assortment Strategy
Category roles and assortment plans guide how much space each category receives. Data on core, seasonal, promotional, and trial products ensure shelves reflect business priorities and shopper expectations across different periods.
7. Pricing and Promotion Data
Pricing tiers and promotional plans influence product placement. Discounted or promotional SKUs may require secondary placements or increased visibility. Aligning planograms with pricing strategies prevents shelf conflicts and missed sales opportunities.
8. Compliance and Performance Feedback
Post-execution data such as compliance scores, store feedback, and performance reports helps refine future planograms. This data reveals what works, what does not, and where adjustments are needed.
Why Data-Driven Planograms Matter
When planograms are built using comprehensive data, retailers gain better shelf productivity, improved compliance, reduced waste, and higher sales per square foot. Data transforms planograms from static diagrams into dynamic tools that evolve with shopper demand and retail performance. In modern retail, effective planograms start—and succeed, with the right data.
