Combine location intelligence with advanced analytics and AI to find the optimal store locations

Store Network Optimizer helps businesses set up the right size and kind of physical stores for each specific area, with focus on demand and profitability. Make data and AI work for you when selecting feasible store locations and their concept planning.

Store Network Optimizer showcases relevant nearby competitor presence as well as detailed population demographics within the estimated catchment area. It generates credible sales forecasts for each map square. This information is to be used for evaluation site profitability calculations.

Generate detailed information basis for individual locations

Showcase relevant location demographics, competitor presence and distance to nearest own stores

Locations' sales forecasts are broken down to category level

Store network optimization of the Nordic's largest discount retailer

Tokmanni Group needed to establish the ideal store network, including the number of stores and their locations and concepts. With predictive analytics, we pinpointed 55 new store locations, their recommended sizes and assortment. Validated sales potential accuracy for new-store opening was 98%.
CASE

Enhance understanding of current store network performance and their drivers

Which stores are performing up to their full potential? Where and in which categories performance can be improved, and what demographic or competitor presence explain store performance variations?

Comparing budgeted sales to actual sales leaves one key question unanswered: what is the sales potential and how well is that met?

Current network performance analyses uses forecasted sales as the baseline which actual sales is compared with. Total sales forecast is broken down on a category level to indicate over- and underperforming categories giving actionable insights on category allocation – and performance enhancements.

Frequently Asked Questions

Store Network Optimizer helps retailers to find:

  • potential for store network (maximum amount of stores a certain area can sustain, ideal structure of store network by different sizes/assortments and sensitivity analysis/cannibalization),
  • prioritized locations (prioritized lists of most potential locations, description of most important demographics and estimates of cannibalization), 
  • most potential store size/concept for each location (estimation of the ideal store size by location, and estimation of the ideal store assortment by location), and
  • detailed forecasts for each location (forecasts for store footfall, average purchase and margins, sales potentials for both existing store network and new store openings). 

Store Network Optimizer leverages data from different data sources. The data typically includes existing service/store network area and offering (customer data), customer database (CRM), offering data (products/service), historical sales data, and Grid database for a selected market.

How to enhance the performance of the current store network?

Some of our clients find it challenging to analyze the performance of individual stores and trace the root causes of performance issues. To share some of the most frequent questions and the ways of discovering actual performance issues, we set up a discussion with Unikie’s Lead Consultant Tommi Havukainen.
INSIGHT

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Contact us about Store Network Optimizer

Antti Syväniemi

CTO, Enterprise Systems
antti.syvaniemi@unikie.com