MUSE – Bring future to talk to legacy

To view the shortlisted teams, please click here

A unique opportunity to revolutionize the current ways of billing in Kirana stores across India.

HUL wants to leverage Machine Learning capabilities to accurately capture over the counter sales across various types of POS systems.

Brand manufacturers till date have relied on FMCG data aggregator firms to understand the consumer preferences. FMCG firms typically have sell in data for each outlet. Consumers’ purchase data constitute a pivotal piece in providing the comprehensive view of sell in and sell outs from the outlets. Secondly, what is happening inside the kirana store is a blackbox and shopkeeper relies on his superhuman memory powers to manage what he has. The solutions which are prevelant today require a lot of effort for him to keep inventory and we need to automate that.

Tapping into actual sales data; accurately and real time, will open plethora of opportunities to understand consumer buying behavior and leverage it to provide promotions, loyalty programs, etc.

The scope of the project will encompass following crucial capabilities:

1. Big Data ecosystem to intelligently understand the point of sale data and ready it for analytics
2. Clear call outs on boundary conditions of what is the efficiency of data capture & data usability
3. Work offline & online given the challenges on network connectivity at the Kirana stores
4. Link the understanding of the data and provide seamless inventory management solutions, both in store and out of store

Please find the data sets here: Data Sets

Top 10-15 teams will be invited to the HUL Office, Bengaluru on 7th October 2017 to showcase their applications.