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Uses predictive geospatial analytics to determine the full market potential of a retailer’s store footprint and maximize performance across channels

Vendor

Vendor

McKinsey & Company

Company Website

Company Website

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Product details

Location intelligence for retailers

The omnichannel revolution in retail has made store location decisions far more difficult. Rather than looking at individual store performance, retailers must evaluate how their brick-and-mortar locations affect online behavior and vice versa. OMNI helps retailers identify opportunities to drive overall performance, both on- and offline. We bring together McKinsey's geospatial analytics expertise and a proprietary technology platform to enable decision-making based on hard data and real consumer behavior.

Our capabilities

Consumer insights

Where are customers shopping, and how is that impacting store performance? We use mobile phone and online purchase data to understand real-world consumer behavior for any store or network. Retailers can understand behavior, demographics, and trends.

Performance analysis

Which levers drive location performance? Are locations achieving their potential? We mine granular demographic, spatial, and competitive variables to quantify sales drivers per location and format. Discover under- and high-performing locations today.

Footprint growth diagnostic

How does the retail landscape look today? How much store growth is feasible? We profile location footprints to determine the opportunity for store growth per market – including both planned sites and longer-term whitespace opportunities.

Network optimization

What is the optimal store footprint? Where are there consolidation opportunities? We assess and quantify expected success of future locations to prioritize investments in and identify consolidation opportunities between current locations.

Our offerings

OMNI Spotlight

Rapidly diagnose network health and uncover expansion or consolidation opportunities.

OMNI Workstation

Test network scenarios and explore financial implications using proprietary machine learning models tailored to your business.

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