Artificial Intelligence, but without the hot air. We pilot and develop bespoke retail intelligence software for restaurants, retailers, and governments. We specialize in geospatial analytics for brick-and-mortar chains.
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Don’t take our word for it.
Retail analytics in practice
AI is not just a hype; it’s a practical tool for the brick-and-mortar industry, useful now and for the foreseeable future. It’s about making things faster, automating the mundane, and taking tasks off your plate. Whether you’re running a small shop or managing a multinational retail chain, AI can help streamline your operations.
Our products
Interactive Retail Intelligence Scout (IRIS)
Make better location decisions
Optimize your retail network with the Interactive Retail Intelligence Scout. IRIS offers flexibility, perfect for analyzing everything from a single opening to complex scenarios of changes and closures. Leverage high quality data and optimize your site network with confidence.
Retail Risk Index (RRI)
Risk scores for all retail properties in NL and BE
The Retail Risk Index (RRI) assesses the risk profile of stores and shopping areas in the Netherlands and Belgium, offering insights into the future prospects of retail locations. It reduces uncertainty about the future of store locations by highlighting areas with potential opportunities.
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Getting started: let’s do a pilot!
Whether you’re just starting to explore what AI can do for your store or ready to dive in deep, the first step is figuring out where in your organisation it can make the biggest impact. We specialise in piloting and developing AI sollutions with geospatial component for brick-and-mortar chains.
Pilot projects
Pilot #1
Automating field-work with computer vision
We helped develop a system to automatically detect and catalog storefronts from video images. We use computer vision models to automatically analyse 360-degree video images of urban areas. This greatly reduces the burden from labor-intensive fieldwork.
Pilot #2
European socio-demographic dataset
High quality data is the building block of any geospatial analytics project. By combining several (open) datasets and applying machine learning we created a standardised dataset covering Europe with a granularity of 1 km2.
Pilot #3
LocationGPT: Geospatial analytics chatbot
We love our jobs, so we just had to figure out if we would be replaced by a Large Language Model like ChatGPT anytime soon. We developed LocationGPT a geospatial analytics assistant that helps you find the best location for your store or restaurant. The verdict? A fun excercise, but LLMs are not as good as our IRIS platform.
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The team brings data applications to the ‘normal’ world with refreshing expertise in the field of transformation.
Micha Candel
Manager Real Estate Europe Zeeman