Efficiency a Key Enabler for Delivery Experience and Profitability

Kavya, an eagle-eyed analyst in the category operations team of a thriving ecommerce company, spends her days meticulously reviewing transactions. One particular day, a curious case piqued her interest. A customer had placed multiple orders exceeding 50 products in the last 24 hours. Intrigued, Kavya delved deeper. Reducing cancellations and returns is crucial for enhancing the revenue and profitability of marketplace e-commerce platforms. Reports reveal that billions of dollars worth of products are returned annually by U.S. consumers, with e-commerce contributing significantly to this figure. The reasons for returns and cancellations vary, and many retailers accept these challenges as part of their business operations. Leading e-commerce platforms like Myntra and Amazon have turned to artificial intelligence and machine learning to tackle these issues effectively. These technologies address challenges such as fit-related returns and platform abuse, offering innovative solutions to minimize losses. This chapter delves into a variety of fascinating use cases, from mitigating return-to-origin challenges to curbing cancellations and optimizing return processes. It provides readers with actionable insights to enhance the efficiency and profitability of e-commerce platforms.