Winners are announced.
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:
Please find the data sets here: Data Sets
Teams that get shortlisted will be invited to present their working prototype to the directors of Hindustan Unilever Ltd. They will get a chance to interact with IT director of South Asia and VP Sales and Customer Development for India and Nepal. Along with them, the panel consists of senior management of IT and sales organization.
Apart from monetary prizes, a chance to interact and pitch ideas to the decision makers of one of the largest FMCG companies of the world is an opportunity you should definitely not miss. So get your creative juices flowing and brush up those cool AI/ML algorithms to co-create a state of the art intelligent system that will change the way kirana stores billing and analytics happen.