EDIX Blocks
Site Selection Intelligence
AI-Powered Expansion of
Enterprise Locations with
Speed and Confidence
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AI-Powered Expansion of
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Simulate store openings to estimate financial viability, customer acquisition, and market competitiveness.
Accelerate site selection decisions with confidence through 35+ geospatial insights.
Locate high-potential sites and penetrate new markets, with speed and confidence.
Key Capabilities
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01
Better predictions through internal & external data fusion
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05
Estimation of market saturation based on competitors’ proximity
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02
Revenue prediction of any candidate location for the enterprise
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06
Analysis of candidate site exposure to demand attracting places
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03
Cannibalization loss prediction to infer the expected new revenue
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07
Analysis of population demographic properties and statistics
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04
Estimation of audience percentage & accessibility to new site
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08
Comparison of different candidate sites based on estimated performance
Impact
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80%
Accuracy of Location Revenue Prediction
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25%
Estimated Reduction in Time to Open a Store
Customer Benefits
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01
Faster Store Openings
Reduce time to open new stores with accurate revenue and cannibalization predictions and geospatial insights for many locations, in seconds.
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02
Higher Site Performance
Compare the potential returns of candidate locations with other candidate locations and existing stores.
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03
Lower Revenue Loss
Reduce revenue losses through insights on cross-store cannibalization and clear growth projections for different candidate locations.
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04
Higher Confidence
Increase confidence in site selection decisions with comprehensive analysis of customers, competitors, traffic, and more.
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05
Lower Evaluation Waste
Execute fewer and more productive site visits, and enable your site selection team to focus on evaluating locations with high-potential.
Case Study
EDIX enables a retail chain with over 100 locations to rapidly penetrate new geographic markets.
