Retail

Reduce Wait Time For Customers at Checkout at Hyper Market

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Pankaj Sharma, Bhaskar Kandukuri, Varun Unnikrishnan, Santosh Gowda, Anuj Bajpai

University: 

ISB

Presentation: 

Report: 

In a busy supermarket the number of checkout lanes is constant. Not all customers buy in large volumes. Some buy in small quantity but are forced to wait in long queues at the checkout counter. Our objective is to demarcate a few checkout lanes as "fast checkout lanes" which would exclusively serve these customers (who shop in low quantity), thereby lowering their waiting time. The challenge however is to predict an optimum number of fast checkout lanes, such that on one hand they are able to process these customers fast and on the other they do not remain empty.

Predicting Average Basket Value at a Hyper Market

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Aashish Sharma, Abhishek Agrawal, Saurabh Malhotra, Madhav Pathak, Madhur Chadha

University: 

ISB

Presentation: 

Report: 

Retailers spend a considerable amount of time, effort, and money to acquire a new customer. However once a customer has been acquired, the maximum value can only be derived if the customer becomes a repetitive buyer and his/her purchase amounts increase with time. Identifying which customer will qualify for a promotion is a key to this problem and our study makes an attempt to solve this issue. Our model predicts the future shopping basket value of a customer.

Dove Valentine Mailing Campaign

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Harneet Chawla, Ankit Sobti, Kanika Miglani, Varghese Cherian, Saad Khan

University: 

ISB

Presentation: 

Report: 

We have been hired by our client, a reputed FMCG conglomerate, Unilever as data mining consultants. Our client has a range of products in the Personal Care Category that comprises of soaps etc. One of the brands that our client happens to own is the Dove brand of soap. For the first time the client is formulating a Valentine mai-in-coupon scheme to be rolled out in the month of February (next year). The scheme has the following business objectives:
1) Understand the customer profile of those customers who buy Dove soap.

Forecasting Women's Apparel Sales

Application Area: 

Project Details

Term: 

2012 (Feb)

Students: 

Naveen Kumar, Akshay Sethi, Karthik Vemparala, Sruthi Yalaka

University: 

ISB

Presentation: 

Report: 

This project aims at accurately forecasting retail demand for women’s apparel in the United States, in order to help a large apparel exporter in China to reduce operating expenditure and rationalize capital expenditure in the future.

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