RAJA is a location-based distribution intelligence platform that helps FMCG dealers, distributors, and brands understand where sales happen, how retailers buy, and where to expand next.
RAJA connects the FMCG chain and captures real purchase + location data from the last mile. Each retailer interaction is geo-tagged and analyzed to reveal buying patterns, demand clusters, and sales potential across regions.
Three simple steps to turn distribution activity into actionable intelligence
Register and geo-locate retailers with accurate latitude and longitude to build clean coverage maps for every territory.
Capture buying frequency, volumes, and product mix over time to understand what sells, where, and why.
Analyze demand clusters to estimate sales per zone and extrapolate potential for similar or untapped regions.
Everything you need to see, measure, and scale your retail coverage
Location, purchase history, frequency, and product preferences for every retailer in your network.
Territory visualization with retailer clusters and density to identify gaps and opportunities.
See high-performing zones and untapped opportunities at a glance across all regions.
Predict potential sales by region using pattern-based estimation and comparable zone analysis.
Standardized retailer identification and anomaly flags ensure clean, reliable intelligence.
Dealer and distributor views for performance tracking and strategic planning.
Built for teams that move fast-moving goods and need visibility at the last mile
Track coverage, performance, and retailer loyalty by territory.
Plan routes, allocate stock, and reduce under/over-serving of regions.
Understand real market pull and plan smarter expansion.
Use heatmaps and forecasts to guide sales execution.
Turn fragmented retail activity into structured intelligence
See demand hotspots and weak zones clearly with GPS-tagged purchase data.
Uncover growth pockets competitors ignore using coverage gap analysis.
Plan distribution with real retailer purchase patterns, not assumptions.
Align routes and inventory allocation with actual demand clusters.
Extrapolate potential in new regions using comparable zones and patterns.
Move from guesswork to data-driven insights in minutes, not weeks.
Request a walkthrough of RAJA's analytics engine and retailer mapping system
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