Design and Implement a Future-Proof Network of Fashion Locations
The fashion retail industry is rapidly changing. Consumers have partly shifted towards e-commerce and omnichannel shopping. Traditional chains were forced to rethink their processes and strategic location decisions. The strongest survived.
To maximize ROI in a competitive market, fashion retailers must adapt. RetailSonar provides the location decision-making tools necessary to build a future-proof, highly profitable retail network. Making smart location decisions starts here.
Smart location decisions. Maximum ROI.
Thanks to curated, best-in-class data, a revolutionary AI model and a passionate team, you can use our platform to make your store location decision with confidence, precision and in just a few clicks.
Discover the 6 features that help expansion managers in the Fashion industry make the most of their location strategy.
Find hotspot locations for future investments
Find the addresses in the country where you can expect the highest predicted turnover for your store locations.
Define underperformers and take action
Compare your location's performance against its theoretical sales potential and understand which factors are causing the underperformance.
Define the business
case of acquisitions
Easily simulate the expected impact of an acquisition by defining the theoretical potential for each location and the impact of closing redundant stores.
Determine your expansion strategy
Define your optimal network of the future. How many locations can you still open simultaneously and where?
Optimize your local marketing campaigns
Craft precise local activation and retention campaigns to ensure the best ROI for your stores.
Define the right concept for a location
Understand for every location which concept fits the local environment best and define the optimal floor space.
With RetailSonar we not only make decisions much faster, but also with greater confidence.
Cornerstones of our solutions
for your store network
Know where your customers are
We identified five distinct product segments and their market potential per living block. These segments include women's, men's, and kids' apparel covering everyday wear to seasonal collections.
Other segments we track the market potential of are accessories (complementary fashion items such as bags, belts, scarves, hats, and non-fine jewelry) and shoes (footwear across all usage moments, including casual, formal, and sports-inspired styles).
Know where your competitors are
We track the competitive landscape across two primary customer positionings. These include budget-oriented brands focused on affordable fashion, trend-driven items, and volume sales, and quality-oriented brands offering premium designs, better fabrics, and personalized in-store experiences.
Assess the local potential and quality of your stores' locations
We rely on accurate mobile app data to deliver precise footfall data at any address, detailed car passage averages per road segment per period of the week, and local activity insights to scan surrounding areas and identify perfect neighbours.
Stop guessing to make investment decisions
Rely on highly accurate predictive models that predict your sales per living block. This enables you to benchmark current locations and define turnover impact for new locations, including catchment areas and cannibalisation to other locations.
Optimize the future
How many locations do you need to open and where are the hotspots in your next country? Calculate the optimal expansion network for the future and maximize your ROI.
Trusted partner of the major players in Europe
Automated location studies for fashion and shoe stores
Create professional-grade hotspot location reports in seconds, including turnover prediction, catchment area and cannibalisation. Generate them automatically in the platform and use them to speed up your internal decision-making process or convince franchisees.
Book a meeting with our fashion expert and maximize your ROI.
Discover how you can optimize your location strategy by making the smartest location decisions.