Client

• App helps retailers and suppliers choose new store locations with end-to-end visibility of consumer patterns in a neighborhood
• Data is collected and analyzed for over 40 patterns, such as transportation in the area, surrounding stores, number of households and cars, etc.
• Clients include large retailers like Leroy Merlin and PepsiCo

Challenge

• Automated solutions extracted data from online maps and other sources
• App accuracy was only 60% due to outdated data
• Clients needed better accuracy for reliable predictions

Solution

1. Up to 50,000 Tolokers complete field tasks at relevant locations
2. Verified data and current photos are uploaded to the system
3. BestPlace uses the up-to-date information to improve machine learning algorithms