This is my exploratory analysis of Flavors of my city
Flavors of My City is an Indian online retail business focusing primarily on delivering region-specific delicacies to other parts of India. Their business model is based on creating tie ups with third party vendors of a specific region, so that they can deliver delicacies to other states/regions. As they are scaling up in terms of products, customers and services, their data is increasing massively. In such a scenario, we strongly feel that statistical analysis of their data can help find insights which will enhance the older business model. We decided to take the data that came primarily from four segments: Products, Customers, Regions and Web Traffic.
Typically e-commerce datasets are proprietary and consequently hard to find among publicly available data. This dataset contains real world data. We will not only perform our analyses but also advise the ‘Flavors of my city’, with our findings and provide recommendations for scaling up their business. Our research intends to understand trends and patterns between different characteristics of their data and develop inferences from them . These can help the company improve their supply chain and better manage their inventory.
This analysis would also give us an idea of the shopping patterns, on the basis of which, the business can derive smarter promotions. We performed exploratory and predictive analytics on transactional data provided to us from the business owners of Flavours of My City and on the basis of our analysis we came up with the following recommendations:
1)Diverting metropolitan customers to online channel. 2)Improving sales and marketing strategies for juices. 3)Predicting inventory & maintaining a smart catalogue for festivals. 4)Driving sales with personalized recommendations.