Retail

Classifying Biscuit Brand Switchers for Targeted marketing by a New Biscuit Manufacturer

Application Area: 

Project Details

Term: 

2013

Students: 

Archana Rajan, Kevin John, Aditi Vaish, Deepak Agnihotri, Pranav Maranganty

University: 

ISB

Presentation: 

Report: 

• The stakeholder in this data mining project is Mine Sweeper Biscuits (MSB), a premium biscuit manufacturer based out of Denmark. While MSB has entered the Indian market through retail outlets, its sales have failed to take off due to the low product trial rate among Indian consumers.

Demand Forecasting for Fresh Milk Dahi & Yoghurt

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Yash Chandwani, Vivek Khandelwal, Shilpi Gupta, Sudhanshu Dharmadhikari, SN Basu

University: 

ISB

Presentation: 

Report: 

Retailers face a formidable challenge of ensuring that they have optimum levels of inventory for goods that are perishable. This is because these goods have short shelf life without any salvage value and can hurt the profitability of the retailers significantly. It therefore becomes critical for the retailers to know accurate forecasts for perishable items such as fresh milk and yoghurt. These subclasses also drive footfall into the retail stores and hence it is important to maintain high levels of service for these products.

Forecasting Sales of Dairy and Ice Cream Products

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Arpita Bhattad, Kapil Dev Tejwani, Kaushik Sur, Ridhima Gupta, Ushhan Gundevia

University: 

ISB

Presentation: 

Report: 

ABC retail is a large format hyper market. It sells food, fashion and electronics. Data led
insights and analytics forms the foundation of all decision making and communication. It now wishes to

Forecasting Sales for Top Selling SKUs

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Arka Sarkar, Kushal Paliwal, Malvika Gaur, Shwaitang Singh

University: 

ISB

Presentation: 

Report: 

We aim to forecast daily sales (unit sold) of the top 5 selling SKUs for the coming week (1st August 2012 to 7th August 2012). We identify the top 5 selling SKUs in 2012.

Forecasting Demand for Perishable Items

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Ankur Pandey, Arun Chaubey , Sanchit Garg, Shahid Siddiqui, Sharath Srinivas

University: 

ISB

Presentation: 

Report: 

Managing inventory of perishable goods such as fruits and vegetables is a difficult task for big
retail stores as these items have a very short shelf life. If not managed properly, excessive stock
may result in loss of inventory, but at the same time under stocking may result in lost sales. In
this project we are trying to accurately forecast the demand for 4 SKUs - apple, banana, onion

Inventory Management for Dairy Products at Hyper Market

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Sammilan Dey, Shruti Agarwal, Sanjay Kumar P., Abhishek Bagalkot, Tejveer Bedi

University: 

ISB

Presentation: 

Report: 

The consumer products sector faces volatility in demand on a high scale and level of complexity, thereby posing challenges in the area of inventory management. Economic volatility and demand variability present challenges that simple models of demand forecasts are not equipped to handle. An important method of tacking demand variability is an effective way to improve the inventory control policy, which should be designed to smoothen stocking response to demand variation arising from the customers.

Forecasting soda-sizes for promotional stands

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Rene Bravo, Jeremy Haber, Henry Izbicki, Logan Langenhuizen

University: 

ISB

Presentation: 

Report: 

The profitability of a supermarket is largely determined by efficient product display within promotional
bins and shelf displays. Hence it can be argued that a sustainable competitive advantage can be
achieved if demand of particular products could be accurately forecasted to allow for a customized

Improving store profitability by negotiating bulk deal with top suppliers

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Abhishek Agarwal, Aashish Sharma, Rajesh Gande, Sumit Pokhriyal

University: 

ISB

Presentation: 

Report: 

The competitive retail landscape demands stores to maximize return from all possible avenues. This urge is further exacerbated by customer price-sensitivity and low customer loyalty. ABC retail too struggles with this problem and is exploring ways to improve its bottom-line. We, as a consultant, have come up with a proposal that would help ABC reduce cost without significant impact on revenue, thus improving the store’s profitability. As part of this proposal ABC is required to consolidate suppliers and enter long term contract with major players in order to exploit better deal.

Forecasting fruit demand - Intelligent Procurement

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Dinesh Ganti, Ravi Shankar, Shouri Kamtala, Supreet Kaur, Rachna Lalwani

University: 

ISB

Presentation: 

Report: 

Problem Description/Business Goal - As the fruit supplier to the hypermarket, we wish to match our
procurement with the fruit demand. This is important owing to the perishable nature of fruits. This
reduces over/under stocking. Also, by matching the fruit demand accurately, we can provide value-add
to the hypermarket and stay ahead of the competition.

Premium Customer Targeting Using Classification Methods

Application Area: 

Project Details

Term: 

2012 (Dec)

Students: 

Akshat Narain, Aman Rathi, Arpita Ray, Jayagowri Hoblidar, Vismay Shah

University: 

ISB

Presentation: 

Report: 

Hypermarts frequently use promotions via mail-in-rebate coupons, bulk buy discount offers etc. to influence customers to purchase greater number of products from their stores. Keeping this in mind, the potential benefit to the Hypermart can be significantly increased if the right promotions are targeted to the right customers - more specifically, identifying a new customer as a potential high margin customer and targeting him/her with promotions related to high margin products for greater sales turnover of such products.

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