Forecasting Store-wise Sales for Smart Sales Incentives

Application Area: 

Project Details

Term: 

2019

Students: 

Anamika Yadav, Harish Bommerla, Lasya Priya, Nisha Kumari, Padmini Durvasula, Vipul Soni

University: 

ISB

Presentation: 

Report: 

Problem Description

The problem we are tackling here is “Design Compensation Incentives Based on performance of the Store Managers”. We can take the store sales as a proxy to indicate the performance of the manager. The model can be used to set sales target to their respective store managers. The variable payout is dependent on the manager’s ability to exceed the target.

Forecasting Traffic and Freight Demand in order to decide on Expansion

Application Area: 

Project Details

Term: 

2019

Students: 

Sangyong Lee, Jaspreet Nayyar, Arun Nakkeeran, Rahul Mohapatra, Debayan Deb, Niladri Mukherjee

University: 

ISB

Presentation: 

Report: 

a. Problem Description

Our client, The Australian Airports Association, appointed us for forecasting the passenger and freight traffic for the month of September 2019. Based on our forecast they intend to take the decision of whether to go ahead with investing a budgeted $1.2 Billion on building new infrastructure (including runways, facilities) and recruiting staff. As per their own business estimates, they have set a threshold of a 40% increase in their YoY traffic for both passenger and freight data to decide for a go/no go on the Investment.

Forecasting Product Demand for a Retail Chain to Reduce Cost of Understocking and Overstocking

Application Area: 

Project Details

Term: 

2019

Students: 

Konpal Agrawal, Prakash Sarangi, Rahul Anand, Raj Mukul Dave, Ramchander G, William D’Souza

University: 

ISB

Presentation: 

Report: 

Bad inventory planning can have a negative impact leading to loss of sales at the retailer end (understocking) or an inventory build-up across the chain (overstocking). This can result in potential losses to all stakeholders in the chain. Forecasting can help demand planners of retail chains make better decisions regarding the right quantity of products to stock on retail shelves.

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