Location Spark

• Fast track decision support for new retail site investment.
• Easy interpretation of location data and store portfolio data.
• Simple, quick and cost effective.
• Uses artificial intelligence and a robust decision making framework.

Quick and Easy

Accurate and Robust

Low Cost

Key Uses

• Retail chains wanting to expand to new locations.
• Operations teams seeking to benchmark manager performance using location specific metrics.
• Finance teams looking for validation of nationwide growth potential.
• Commercial property investors seeking to optimise yields and returns.

Approach

We synthesise multiple location parameters including: economic, demographic, competitors, brands, points of interest, traffic, commercial concentration, etc. We then calculate new site potential by combining location metrics with operations data from existing retail sites. This is used to predict new site sales, store characteristics, trading patterns and profitability.

Value

Our proven approach and rapid start implementation means that we quickly help clients make excellent new site investment decisions. Value from Location Spark includes:

• Reduced analysis time (20-40%).
• Increased speed to decision using robust and repeatable process.
• Increased forecasting accuracy and minimised probability of poor new site selection.
• Rapid automated site evaluation at low cost with great "return on analytics".