DataHour: Applications of Optimization in On-demand Food and Grocery Delivery

DataHour: Applications of Optimization in On-demand Food and Grocery Delivery

20 Oct 202215:10pm - 20 Oct 202216:10pm

DataHour: Applications of Optimization in On-demand Food and Grocery Delivery

About the Event

Optimisation modeling plays a critical role in various business problems in the On-demand Food and Grocery Delivery industry. These problems include the decision to select a Delivery Executive (DE) for your order or which orders are to be batched with your order. The objective is to ensure timely delivery but at a minimal cost per delivery. 

In this DataHour, Sidhartha will talk about an end-end solution strategy for this problem and will further illustrate how predictive and prescriptive models work together.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Siddhartha Paul

Siddhartha Paul

 Senior Data Scientist at Swiggy

Dr. Siddhartha Paul is a Senior Data Scientist at Swiggy. At Swiggy, as part of the core logistics team, he has been primarily working on developing low latency and scalable solutions for the hyper-local logistics optimization problems for both food and grocery. Before joining Swiggy, he was a Data Science consultant at antuit.ai where he worked with clients from the logistics and agriculture industry. He has completed his M.Sc. and Ph.D. in Operations Research from the Department of Industrial Engineering and Operations Research, Indian Institute of Technology Bombay. His broader research interests include, but are not limited to, simulation, optimization, mathematical modeling, and statistical analysis.

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