Wifi Heatmap

Machine Learning

NLP

Customer 360 Analytics

The client wanted us to help them with an efficient mechanism to get the complete customer view in a mall.
The system must be capable to predict the user movement and shopping pattern of each customer who would swing by the mall.
To map the path taken by a user without using any beacons.
Predict next store to visit using Deep learning (TensorFlow).
The malls can get a track on the users path per day and their activity using their device and MAC ID.
Recommend users to stores and stores to users based on collaborative filtering.

To exactly predict the most possible path taken by the visitor between two different locations.

Custom algorithm which uses nearest neighbour logic to identify the most possible path taken by two different locations was implemented for better accuracy.

A custom web dashboard that shows the density plot of visitors in the mall. The malls can get a track on the users path per day and their activity using their device and MAC ID.
The malls can decide on the shop rents based on the traffic to specific areas.