Operations

Forecasting Temperature Using Weather Time Series Data of US & Canadian Cities for Effective Inventory Stock Plan at Retail Stores

Application Area: 

Project Details

Term: 

2019

Students: 

Rahul Sharma, Himanshu Jain, Rahul Garg, Artika, Vividha Arabandi, Varghese Zachariah

University: 

ISB

Presentation: 

PDF icon B10 Slides.pdf

Report: 

PDF icon B10_Rahul Sharma_FCAS FINAL PROJECT.pdf

1.1 Problem Summary

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: 

PDF icon B5 Slides.pdf

Report: 

PDF icon B5_Ramchander G_20495836_v2.pdf

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.

Optimizing Operational Spend by Predicting Product Sales

Application Area: 

Project Details

Term: 

2019

Students: 

Aditya Verma, Amit Kumar Gupta, Neeraj Nathany, Prateek Singhvi, Varsha Shridhar, Vishal Abraham

University: 

ISB

Presentation: 

PDF icon B3 Slides.pdf

Report: 

PDF icon B3_Neeraj Nathany.pdf

In the retail business, it is crucial for the firms to accurately forecast sales in the future to
prepare themselves and optimize costs. Over-estimating sales can lead to a significant cost of inventory holding and even losses due to expiry in case of perishable items. There could also be a scenario of underutilized resources in manufacturing be it machinery or labour.
Underestimation of sales in forecasts can lead to loss of business opportunity.

Demand Forecasting for Materials to Improve Production Capability Planning in BASF

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Raden Agoeng Bhimasta, Dana Tai, Daniel Viet-Cuong Trieu, Will Kuan

University: 

NTHU

Presentation: 

PDF icon Team6 Slides BASF Demand Forecasting for Capability Planning.pdf

Report: 

PDF icon Team6 BASF report.pdf

VIDEO

BASF is currently the world largest chemical company. In 2017, BASF posted sales of
€64.5 billion and income from operations before special items of approximately €8.3 billion. They have broad portfolio ranges from chemicals, plastics, performance products and crop protection products to oil and gas.

Forecasting swimsuit sales for the next month to assist in inventory management for Heatwave

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Jheng Kai-Ru, Adam Yu, Silvia Yang, Zoly Chang

University: 

NTHU

Presentation: 

PDF icon Slides Tmall Swimsuit Demand Forecasting.pdf

Report: 

PDF icon team4tmallswimsuitseller_23012674_72884746_[BAFT] Team 4 Final Paper.pdf

VIDEO

Heatwave is a swimsuit e-commerce seller on the Tmall.com. They designed and manufactured their swimsuits and sell them on the Tmall platform. In this project, our team collaborated with Heatwave to work on the forecasting job of predicting swimsuit sales for the next month to assist in inventory management.

Forecasting customer demand for packages in SIG Indonesia market for better customer sales promotion

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Shang-Chi Tu, Beverly Lin, Ken Wu, Jimmy Wang

University: 

NTHU

Presentation: 

PDF icon Slides SIG Indonesia Demand Forecasting.pdf

Report: 

PDF icon Team 2 SIG Indonesia Final Project Report.pdf

VIDEO

Introduction of Our Client: SIG
In this project, our client is SIG Combibloc. SIG is a leading systems & solutions provider of carton packaging and flexible filling machines for beverages and food, helping bring food products to consumers in a safe, sustainable and affordable way.

Forecasting AsiaYo’s One Month Ahead Daily Room Occupancy in Different Cities for Supply Preparation

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Sz Wei Wu (Sandy), Cheng Che Liao (John), Min Sheng Wu (Akira), Kai Wei Pai (Kelvin)

University: 

NTHU

Presentation: 

PDF icon Slides AsiaYo Occupancy Forecasting.pdf

Report: 

PDF icon AsiaYo Final-Report_Team_1.pdf

VIDEO

In this project, we collaborate with AsiaYo, an online B&B booking platform company headquartered in Taiwan, to work together on solving their business problem by using forecasting methods. One challenge facing AsiaYo is the revenue lost when they are lack of available rooms on holidays or special peak periods. Considering the enterprise level and resource, we find that it will be more affordable and understandable to focus our solution of this business problem on certain popular areas.

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