A Game Theoretic Algorithm for Elite Customer Identification in Online Fashion E-Commerce

TL;DR

This paper presents a game theoretic algorithm designed to identify elite customers in online fashion e-commerce, enabling Myntra to offer preferential return processing and enhance customer experience.

Contribution

The paper introduces a novel, scalable game theoretic algorithm for identifying elite customers in online fashion e-commerce platforms.

Findings

Algorithm effectively identifies eligible customers for preferential treatment.

The approach is simple, easy to implement, and scalable.

Enhances customer experience by targeting elite customers.

Abstract

Myntra is an online fashion e-commerce company based in India. At Myntra, a market leader in fashion e-commerce in India, customer experience is paramount and a significant portion of our resources are dedicated to it. Here we describe an algorithm that identifies eligible customers to enable preferential product return processing for them by Myntra. We declare the group of aforementioned eligible customers on the platform as elite customers. Our algorithm to identify eligible/elite customers is based on sound principles of game theory. It is simple, easy to implement and scalable.