Forecasting Tourist Flows in New Zealand to Support Product Development and Pricing Decisions for Expedia

Application Area: 

Project Details

Term: 

2017

Students: 

Akshayaa Pasupathy, Ashwath Bhat, Anil Pujari, Prerna Lnu, Rishi Chakravarti, Sathyanarayanan Sridhar

University: 

ISB

Presentation: 

Report: 

Problem description:
Expedia is in the process of setting up its branch in the New Zealand market, called
Expedia.NZ, to compete with the existing big guns such as Black Sheep, ExperienceNZ, and
Kiwiway.
It is looking for a niche edge over the others in the already crowded travel space and wants to
capitalize on the open data on the tourists’ and visitors’ pattern to come up with key insights
on total addressable market.
It has past data for over 8 years and has information on what its competitors are doing; it has

Forecast of River Flows To Evaluate Feasibility of Run-of-River Hydro Projects for SinoHydro

Application Area: 

Project Details

Term: 

2017

Students: 

Aditya Pisupati, Tej Vohra, Naveen Badampudi, Bharadwaj Mundle, Anoop Thomas, Nishidh Biyani

University: 

ISB

Presentation: 

Report: 

Description of Business Problem
Run-of-river (ROR) hydro projects harness the energy in flowing water to generate
electricity. There is total dependency on the flow rate measured in cusecs. As there is
an absence of a dam and reservoir, the power generation is susceptible to the effects of
daily and seasonal flow infrequencies. SinoHydro is a global Hydro Project construction
company, looking for construction projects in the next quarter. It is looking to bid for six

Optimum Staff Schedule for a German Drug Company by Forecasting Customer Footfalls

Application Area: 

Project Details

Term: 

2017

Students: 

Ashish, Saurabh Shekhar, Rishab Choraria, Kirti Pandey, Rahul Singh, Krishna Guha

University: 

ISB

Presentation: 

Report: 

a. Problem Description
Our client is a German drug manufacturer who owns and operates six stores in different parts of
Germany. Each store has a unique layout and some stores are open for fewer days than others. Moreover, customer footfall varies by location. Our client contracts staffing personnel on a daily basis from a staffing agency for all the stores, and each contracted staff is paid on per hour basis every day. The
management in our client’s organization has been tasked with an objective to bring down the staffing

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