Developed logistic solutions to mitigate RTO, while analyzing customer, seller, and product aspects through data-driven insights

• Developed a logistic model to mitigate the Return to Origin (RTO) and analyzed factors at customer, seller, and product levels

• Analyzed the data for quick-buy orders by using Charles, and found an increment of 9% in RTO data for address type based on timings

• Recorded a maximum of 5% increment in RTO by a combination of device, subcategory, address type, and order timings data