Retail

Sales Forecasting for Rossmann Stores

Application Area: 

Project Details

Term: 

2019

Students: 

Debajyoti Sarkar, Nishant Toshniwal, Ravi Batra, Raunak Singh, Vibin Varghese, Eeha Ashok

University: 

ISB

Presentation: 

Report: 

Problem description
Business Problem: Rossman is Germany’s second largest drug store chain with more than
1000 stores across the country. Every month, the store manager needs to set targets for the
sales team and design incentives for them. Currently, the managers set the targets based on
their intuition of how much the sales are going to be in next month- which often leads to
wrong target settings. Setting targets that are too high or unrealistic can lead to failure of

Forecasting restaurant sales using data from iChef, weather forecasts, and holiday information

Application Area: 

Project Details

Term: 

Fall 2016

Students: 

Nicholas Danks, Isaac Martinez, Mahsa Ashouri, Paul Rivera

University: 

NTHU

Presentation: 

Report: 

One of the largest challenges facing small and medium restaurants is that of competing against big chains with better information infrastructure – an advantage that allows the big chains to plan resource allocation more precisely based on demand and other factors. iChef provides this platform for small restaurants “making enterprise level technologies affordable and understandable for small restaurants”.

Forecasting the daily number of customers in each restaurant

Application Area: 

Project Details

Term: 

Fall 2016

Students: 

Edison Lee, Celia Chen, Sehyeon Jeong, Guan-Jie Chen, Web Yuan

University: 

NTHU

Presentation: 

Report: 

Business Problem

We are going to let manager of each restaurant know how busy they will be tomorrow by this business forecasting. The forecasted value would be used as a mental preparation of manager.

Data

Inventory Management through Sales Forecasting

Application Area: 

Project Details

Term: 

2017

Students: 

Anand Abhishek, Bharath Sankaran, Mayank Thapliyal, Rohan Chakraborty, Urvashi Surana Sunil, Varun Madnani

University: 

ISB

Presentation: 

Report: 

Problem Description: FMCG companies like Nestle face trouble in forecasting demand for smaller
regions which comprises nearly 50% of their business and is highly critical. This is due to high volatility in
demand. Due to this problem more often than not the sales force in these regions face a situation
wherein they are either short of inventory and unable to meet demand or have piled up inventory at
warehouses. A model that effectively forecasts sales can be tested on a small region (in this case

Forecasting sales of Walmart departments for marketing budget allocation

Application Area: 

Project Details

Term: 

2017

Students: 

Gandharv Paliwal, Asmita Sonik, Aayam Ankan, Abhinav Mani, Abhinav Mani, Swagnik Chatterjee, Samta Jhingan

University: 

ISB

Presentation: 

Report: 

This project aims at providing the best possible sales forecasts for our client, ‘Walmart’.
Walmart is currently facing stiff competition from E-commerce companies like Amazon. It is
commonly observed that customers visit the brick and mortar store to view the product and end
up buying at Amazon at cheaper rates. Individuals prefer doing their repeat purchases online
instead of visiting brick and mortar stores due to the associated convenience. This has led to year
on year declining sales trend of brick and mortar channels.

Enhancing the Operation of 13 GOOD Market

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

I Chun Chao, Yi Chun Chuang, Sherry Wu, Chia Li Chien

University: 

NTHU

Presentation: 

Report: 

a. Market Introduction
Hsinchu 13 good market has been established in April, 2014, and opens every Saturday. Most of the customers are the households living nearby, so the market will hold events for family as well.
The market has their own promotion channel “Facebook fan page”. In January, 2016, the
accumulative page “likes” is up to 4,950 in over 1 years.
Since this is almost the most important and the only way to publish their news and
information to the customers. We wondering if there is any possible way to make good use

Forecast Monthly Demand of Automobiles to increase sales for automotive company

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Fang-I Liao, Tzu Yi Lin, Po-Wei Huang , Louie Lu

University: 

NTHU

Presentation: 

Report: 

Our client is an automotive corporation (e.g. Suzuki) who sell automobiles and motorcycles in Taiwan. Our forecasting goal is to forecast the demand of automobile in 2015 of four of Taiwan’s largest cities: Taipei, New Taipei, Taichung, and Kaohsiung. The forecast results will be used to set promotional plans among regions and seasons, and measure amount of automobile to import in 2015. Potential business benefits include reducing costs (inventory costs and advertisement at lower sales seasons), and improving marketing strategies (targeting the right seasons).

Missing marital status prediction for hypermarkets

Application Area: 

Project Details

Term: 

2013

Students: 

Sankalp Gaur, Vineet Jain, Sonali Gadekar, Harshita Jujjuru, Tushna Mistry

University: 

ISB

Presentation: 

Report: 

Business Problem
The customer database contains a field called "MARITAL_STATUS". This is an important field for business. It can help the marketing department to segment the customers and target marketing and promotional initiatives accordingly.

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