City Selection

Swiggy operated in their first 17 cities when they desired to expand their current offerings into new cities using a consumer data-driven approach. The objective was to understand the macro-economic and other factors driving the propensity to order home delivery for food for the towns/cities beyond those currently served. This is across 3,200+ cities and towns on equal available data levels!

Delivery Optimization / Franchise Model / Cloud Kitchens

Post selecting high-potential cities and towns for a phased roll-out over two years, Swiggy intended to understand on the ground the optimal network expansion for their own cloud kitchens, the sales potential of restaurants and kitchens of prospective franchise partners, and last but not least, optimizing the delivery logistics with a consumer data-driven demand forecasting.