Holding the wrong inventory ties up cash, disappoints customers, and leads to missed sales. Yet most businesses still base product assortment on intuition—not actual buyer behavior in each store’s area.
When you combine foot traffic data with local socioeconomic insights, you can match your inventory to what people actually want to buy.
Why External Data Elevates Merchandising Decisions
Footfall and purchasing behavior data can help you:
✅ Avoid overstock and understock by aligning supply with demand
✅ Improve customer satisfaction by having the right products at the right time
✅ Lower holding costs by reducing dead stock and slow movers
✅ Increase sales by tailoring assortments to local demand signals
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How It Works
🔹 Combine footfall data with income, age, and purchasing trends to profile neighborhoods
🔹 Identify peak shopping hours and optimize shelf restocking and display timing
🔹 Use store-level movement patterns to guide product placement and layout decisions
🔹 Forecast demand with precision, adjusting inventory levels in real-time
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Real-World Impact
Walmart uses data-driven inventory management to allow suppliers to monitor stock levels and replenish accordingly. This minimizes delays, cuts holding costs, and ensures high-demand items stay on shelves—delivering a better customer experience and reducing costly stockouts.
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📩 Ready to move from reactive restocking to predictive inventory planning?
Let’s talk about how external data can sharpen your merchandising strategy.
👉 Talk to a Data Expert
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