Gala Groceries is a technology-led grocery store chain based in the USA. They rely heavily on new technologies, such as IoT to give them a competitive edge over other grocery stores.
They pride themselves on providing the best quality, fresh produce from locally sourced suppliers. However, this comes with many challenges to consistently deliver on this objective year-round.
Gala Groceries approached Cognizant to help them with a supply chain issue. Groceries are highly perishable items. If you overstock, you are wasting money on excessive storage and waste, but if you understock, then you risk losing customers. They want to know how to better stock the items that they sell.
Tasks:
- Exploratory Data Analysis: Explored customer data to identify next steps
- Data Modelling: Understanding relational data and framing a problem statement
- Model Building and Interpretation: Developing machine learning algorithms for production
- Quality Assurance: Evaluating the production machine learning model to ensure quality results