eCommerce

Predicting Loyal Customers for Sellers on Tmall to Increase Return on Promoting Cost

Application Area: 

Project Details

Term: 

Fall 2017

Students: 

Wendy Huang, Yu-Chih Shih, Jessy Yang, Zoe Cheng

University: 

NTHU

Presentation: 

Report: 

Sellers on E-commerce platform sometimes run big promotions (e.g., discounts or cash
coupons) on particular dates (e.g., Boxing-day Sales, "Black Friday" or "Double 11 (Nov 11th)”, in
order to attract a large number of new buyers. Unfortunately, many of the attracted buyers are
one-time deal hunters, and these promotions may have little long lasting impact on sales. To
alleviate this problem, it is important for sellers to identify who can be converted into repeated

Predicting PicCollage users’ first purchase for targeted promotions

Application Area: 

Project Details

Term: 

Fall 2017

Students: 

Reggie Escobar . Eduardo Salazar Uni Ang . Lynn Pan

University: 

NTHU

Presentation: 

Report: 

PicCollage is an app to create amazing photo collages with custom stickers, fonts, background that makes creating collages a creative experience. It’s biggest revenue streams comes from In-app purchase where users could pay to remove watermark, add custom stickers, and backgrounds. Also the have popup ads; but because ads strategy is implemented different for Android and IOS users in this project the model is not using features extracted from ads behavior and the scope of the model proposed is directly extracted from the behavior when users create their first collage.

Identifying bookings with a high-risk of host rejection to improve customer service and customer satisfaction

Application Area: 

Project Details

Term: 

Fall 2017

Students: 

Arturo Heyner Cano Bejar, Tonny Kuo, Nick Danks, Kellan Nguyen

University: 

NTHU

Presentation: 

Report: 

AsiaYo! operates in a highly competitive industry serving as intermediary and agent between accommodation providers (hosts) and accommodation seekers (guests). High customer service is a critical business goal for AsiaYo!. Rejection of bookings by hosts can cause customer dissatisfaction and potentially loss of customers. Currently, AsiaYo! experiences a host rejection rate of 15% of orders. Rejection of a booking by the host triggers a reaction from the AsiaYo!

Forecasting ATM/CARD/CASH revenues for EZTABLE to identify potential and actual revenue

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

ean Xie, Sam Wang, Lydia Jiang, Suneel Chatla

University: 

NTHU

Presentation: 

Report: 

The primary stakeholder is EZTABLE, an ecommerce based platform for reservations for different restaurants in Taiwan. Currently, there is a mismatch between the number of bookings and the amount of revenue generated by the bookings. The problem is the current booking system which enable the user to book reservations even without prior payment. Hence the actual revenue falls short of the potential revenue due to the existing system. The business goal of our project is to let our client realize the potential revenue and the need for changing the strategies.

Forecasting Daily Sales of Perishable Foods to reduce spoilage

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Akshat Chowdhary, Anushree Gandhi, Kashish Goyal, Ravdeep Chawla, Vaibhav Tripathi

University: 

ISB

Presentation: 

Report: 

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

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Dinesh Ganti, Gauri Singh, Ravi Shankar, Shouri Kamtala, Supreet Kaur, Vinayak Palankar

University: 

ISB

Presentation: 

Report: 

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

Application Area: 

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: 

Report: 

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

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Abhinav Verma, Bhaskar Vedula, Raphael Schilling, Rhianna Prabhu, Vivek Aranha

University: 

ISB

Presentation: 

Report: 

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

Application Area: 

Project Details

Term: 

2010

Students: 

Lindsey Cohen, Ross Dodd, Wells Person, Amy Rzepka

University: 

UMD

Presentation: 

Report: 

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

Pages

Subscribe to eCommerce