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.

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