Location isn’t just a logistics decision—it’s a growth strategy. Without data-driven trade area analysis, manufacturers risk placing plants and distribution centers in areas with low demand, high competition, or inefficient access to customers and partners.
📉 Inefficient site placement leads to poor market access, missed revenue, and operational delays.
🔍 Trade Area Analysis gives you the full picture of your market footprint before you break ground.
Why External Data Makes Site Selection Smarter
✅ Analyze customer demand, foot traffic, and sales trends by region
✅ Understand competitive density to avoid saturated zones
✅ Align distribution hubs with actual buyer behavior and geolocation insights
✅ Improve inventory planning by forecasting regional product demand
How It Works
🔹 Use GIS & geospatial analysis to map demographic, economic, and trade activity data
🔹 Apply machine learning to segment markets and predict customer behavior
🔹 Conduct buffer analysis to define ideal service zones for plants and warehouses
Real-World Impact: Competitive Visibility in Action
PREDIK Analytics analyzed POI data for an Amazon warehouse and identified over 2,000 monthly trips and connections to 8+ business partners. That intelligence uncovered logistics partnerships and competitive gaps—critical data that can drive smarter site and supply chain decisions.
Want to reduce risk and maximize market opportunity with your next location decision?
📩 Let’s talk about the external data that makes trade area analysis possible.