Wifi Heatmap

Machine Learning

NLP

Customer 360 Analytics

BUSINESS REQUIREMENT
  • 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.
CHALLENGES
  • To exactly predict the most possible path taken by the visitor between two different locations.
SOLUTIONS
  • Custom algorithm which uses nearest neighbour logic to identify the most possible path taken by two different locations was implemented for better accuracy.
IMPACT
  • 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.
KEY TECHNOLOGIES
  • Java
  • ReactJS
  • NodeJS
  • Apache Spark
  • Apache Hive
  • AWS S3
  • MongoDB
  • Dropwizard

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