Forecasts based on machine learning can make your business applications smarter. However, this is still difficult in practice and many data scientist teams experience similar difficulties:
Predict a store's optimal turnover, the impact of physical stores, and the spend potential of customers.
Automate logistics and operations by using data-driven decisions and predictive maintenance.
Get insights into your optimal supermarket locations and maximize revenues.
Optimize the location of your offices and maximize their full potential.
The retail analytics solution is optimal for a shopping center owner, shopping street (A1) investor, or supermarket owner. You get a complete insight into the importance of various variables, such as calculating the trade area and identifying the competition. Determine the attractiveness score of locations based on online and offline behaviour (e.g. social media, reviews). Use the application to apply scenario analyses, calculate risks and calculate the financial impact.
Clappform B.V.
Overschiestraat 61
1062 XD Amsterdam
info@clappform.com