eCommerce

Forecasting Daily Sales of Perishable Foods to reduce spoilage

Project Details
Term: 
2012 (Dec)
Students: 
Akshat Chowdhary, Anushree Gandhi, Kashish Goyal, Ravdeep Chawla, Vaibhav Tripathi
University: 
ISB

Problem Description - Representing the hypermarket, the objective of our forecasting is to reduce the spoilage of vegetables in the hypermarket by accurately forecasting sales on a daily basis. By using historical data of the last year we plan to forecast daily demand for two SKU's 'Exotic Vegetables' and 'Beans' under the vegetable sub-class.

Determining optimum insurance product portfolio through predictive analytics

Project Details
Term: 
2012 (Dec)
Students: 
Dinesh Ganti, Gauri Singh, Ravi Shankar, Shouri Kamtala, Supreet Kaur, Vinayak Palankar
University: 
ISB
Presentation: 

Business Problem – An entrepreneur has an idea for a new business venture, which, in a nutshell, is to
offer insurance to customers on price drops of certain products. Registered customers get a certain
multiple of the insurance fee or a certain percentage of the drop provided that the drop happens within

Smart Online Ratings for Electronic Gadgets

Project Details
Term: 
2012 (Dec)
Students: 
Deepanshu Saini – 61310308 Rachna Lalwani – 61310845 Saurabh Thaman – 61310113 Vikramadith Raman – 61310387 Jeevan Murthy – 61310542 Karthik Venkiteswaran
University: 
ISB
Presentation: 

Aggregator websites of Electronic gadgets listings decide if they want to pick a particular listing from an e-commerce website and display on their own website. Selection of the right items to list is essential to customers selecting products for purchase, therefore leading to higher revenues.

Price Arbitrage for Mom & Pop Store Product Traders

Project Details
Term: 
2012 (Dec)
Students: 
Abhinav Verma, Bhaskar Vedula, Raphael Schilling, Rhianna Prabhu, Vivek Aranha
University: 
ISB
Presentation: 

Currently Mom & Pop Stores do not have much insight into the price changes of electronic
products. This information is useful for the stores to plan for inventory purchases prior to the
price increases and generate profits on the products due to the increased price. Currently, this
decision to buy is based on intuition and there is no real science or reasoning behind it.

Prosper.com: Improving Lending Through Modeling Defaults

Project Details
Term: 
2010
Students: 
Lindsey Cohen, Ross Dodd, Wells Person, Amy Rzepka
University: 
UMD
Presentation: 

Prosper.com is an online peer-to-peer lending system for borrowing money and investing in loans
through an open and transparent auction model. Prosper.com borrowers create credit profiles
containing information lenders can review before determining whether to invest or not in a
borrower. Even with this information, one challenge Prosper.com lenders face is being able to

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Contact

Galit Shmuéli
SRITNE Chaired Professor
of Data Analytics
Associate Professor of Statistics & Information Systems
Indian School of Business
Gachibowli, Hyderabad 500 032
India

galit.shmueli@gmail.com