EDIX CASE STUDIES
EDIX enables a retail chain with
over 100 locations to rapidly
penetrate new geographic markets
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EDIX enables a retail chain with
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Challenges
Identifying a high-potential candidate location takes our client over a month, relying heavily on experience and intuition, which introduces considerable risk to this critical and costly decision. These challenges can lead to significant revenue losses from low-performing sites or those that suffer from high cannibalization, ultimately hindering their ability to expand quickly and effectively.
- Significant revenue losses from selecting low-performing sites or those with high levels of cannibalization.
- Slow and expensive site evaluation process
- Limited geospatial insights leading to low confidence in site selection
- High dependency on subjective judgment and intuition
- Delayed market entry and missed opportunities in high-potential areas
- Inconsistent decision-making process across locations
EDIX Value Delivered
Delivered Capabilities
- Better predictions through internal & external data fusion
- Revenue prediction of any candidate location for the enterprise
- Cannibalization loss prediction to infer the expected new revenue
- Estimation of audience percentage & accessibility to new site
- Estimation of market saturation based on competitors’ proximity
- Analysis of population demographic properties and statistics
- Comparison of different candidate sites based on estimated performance
Replaced Processes
- Several geospatial analytics tools
- Spreadsheets for tracking candidate locations and managing the site selection process
- Consultancy reports for evaluating and estimating the potential of a candidate location
Impact
-
80%
Accuracy of Location Revenue Prediction
-
25%
Estimated Reduction in Time to Open a Store
Customer Benefits
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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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Higher Site Performance
Compare the potential returns of candidate locations with other candidate locations and existing stores.
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Lower Revenue Loss
Reduce revenue losses through insights on cross-store cannibalization and clear growth projections for different candidate locations.
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Higher Confidence
Increase confidence in site selection decisions with comprehensive analysis of customers, competitors, traffic, and more.
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Lower Evaluation Waste
Execute fewer and more productive site visits, and enable your site selection team to focus on evaluating locations with high-potential.
