An Application of Newsboy Problem in Supply Chain Optimisation of Online Fashion E-Commerce

07/06/2020
by   Chandramouli Kamanchi, et al.
0

We describe a supply chain optimization model deployed in an online fashion e-commerce company in India called Myntra. Our model is simple, elegant and easy to put into service. The model utilizes historic data and predicts the quantity of Stock Keeping Units (SKUs) to hold so that the metrics "Fulfilment Index" and "Utilization Index" are optimized. We present the mathematics central to our model as well as compare the performance of our model with baseline regression based solutions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/01/2021

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

Myntra is an online fashion e-commerce company based in India. At Myntra...
research
05/01/2021

Online Fashion Commerce: Modelling Customer Promise Date

In the e-commerce space, accurate prediction of delivery dates plays a m...
research
11/02/2021

Discovering Supply Chain Links with Augmented Intelligence

One of the key components in analyzing the risk of a company is understa...
research
07/02/2021

Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation

Although safety stock optimisation has been studied for more than 60 yea...
research
12/16/2021

Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce

We describe a novel decision-making problem developed in response to the...
research
07/03/2022

Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce

Managing discount promotional events ("markdown") is a significant part ...
research
06/16/2023

Using Machine Learning Methods for Automation of Size Grid Building and Management

Fashion apparel companies require planning for the next season, a year i...

Please sign up or login with your details

Forgot password? Click here to reset