Sample Assignment Outline

Warehouse and Inventory Management ICA3: Individual Assignment Guide

Forecasting is the basis for many supply chain decisions and also the key for efficient supply chain planning. This ICA will cover topics in Demand Forecasting, Forecasting Methods & Techniques, and Qualitative & Quantitative Forecasting. This assignment requires learners to research and forecast the demand of a given case study using the various techniques acquired in the module.

Learners will submit a typewritten report including any supporting appendices on their research and demand analysis.

Assignment Requirements

 Forecasting is a critical function of any business. It enables the company to plan and optimise its resources to generate maximum profit.

Learners are to apply any relevant concepts from the module and must demonstrate evidence of quality and credible research to support their analyses where necessary.

Each learner must submit the assignment report in the following format:

  • Introduction
  • Qualitative analysis (please refer to section 4 below for Part A Qualitative Analysis pertaining to the report requirements)
  • Quantitative analysis (please refer to section 5 below for Part B Quantitative Analysis pertaining to the report requirements)
  • Conclusion

Part A Qualitative Analysis

 Answer all the following questions:

Case 1: eRetailer SHEIN

Shien, the Chinese fashion giant pledged it will improve standards at supplier factories with a $70m (£56m) investment over the next five years. Peter Pernot-Day, head of strategy and commercial affairs at Shein, tells Drapers how the business is shaking up its operations, using tech to optimise its supply chain and how it plans to tackle sustainability challenges. We are a tech-enabled and innovation-led company. How do you take over 5,000 suppliers and ensure quality, consistency, and speed to meet this on-demand capability? The only way we can do that is digitally, so from the very beginning we’ve been building this supplier management system. This platform allows us to track the suppliers by capacity and by inventory levels and they have information about what orders are coming down the pipeline so  they can staff themselves to produce to meet projected demand. But you can always squeeze more efficiency out of these systems. For example, is there a way in which you can measure demand more accurately? As we expand our supply chain, are we making it available in other languages for other suppliers?

Case is adapted and compiled from various internet sources.

  1. Explain why demand forecasting is a critical function of any business, regardless of the stage of the supply chain the company is operating in. Explain the differences, including the advantages and disadvantages, between Qualitative and Quantitative forecasting.
  2. Based on the information provided in the Shein case, evaluate the following qualitative forecasting Suggest, with justifications, the most appropriate method that Shein should use to forecast demand for its clothings.
  • Delphi method
  • Survey of sales force
  • Visionary forecast

Part B Quantitative Analysis

 Perform the following forecasts:

  1. Perform the following forecast, with data set in Appendix 1, using:
  • Static Winter forecasting technique and determine the most appropriate periodicity in your analysis.
  • Simple Exponential Smoothing technique and determine the most appropriate α (alpha) value in your
  1. From your forecast above, analyze and suggest with justifications the most suitable technique to forecast the demand for sandwiches.

Assignment Submissions

 Assignment report based on the format and questions stated above in the assignment requirements, qualitative and quantitative analysis sections. The written report must be in MS Word format, of not more than 6 pages excluding appendices – Arial Font size 12 with single spacing.

  1. Introduction: Provide an introduction of the key discussion points for the

2.  Main discussion points:

  • Part A Qualitative Analysis for case study on Shein or Airbus (refer to section 4 above).
  • Part B Quantitative Analysis for data pertaining to demand for bicycle or mobile phone (refer to section 5 above). An excel spreadsheet depicting the computation of the forecasting based on the required data must be attached to the report.
  1. Conclusion: A summary of the key findings.

In this assessment, you must not use generative artificial intelligence (AI) to generate any materials or content in relation to the assessment task.


Items Marks
Report Introduction 5
Part A (Qualitative Analysis)
Explain why demand forecasting is a critical function of any business and differences between Qualitative and Quantitative forecasting models. 10
Suggestion of best qualitative forecasting method 10
Part B (Quantitative Analysis)
Perform Forecast using Static Winter & Exponential Smoothing / Simple Moving Average / 3-period weighted moving average techniques 10
Recommend & justify most appropriate forecasting method 10
Report Conclusion 5
Total 50



This assignment carries a total of 50 marks. The breakdown of marks is indicated in the table below.

Appendix 1 – Forecasting Data


18 Jun 2011 127
Data poin t Month Demand (Dt) /

Sandwiche s

Sold (‘000)

19 Jul 2011 124
20 Aug 2011 121
21 Sep 2011 124
1 Jan 2010 122 22 Oct 2011 140
2 Feb 2010 119 23 Nov 2011 138
3 Mar 2010 126 24 Dec 2011 138
4 Apr 2010 137 25 Jan 2012 123
5 May 2010 136 26 Feb 2012 118
6 Jun 2010 140 27 Mar 2012 122
7 Jul 2010 124 28 Apr 2012 136
8 Aug 2010 123 29 May 2012 137
9 Sep 2010 120 30 Jun 2012 135
10 Oct 2010 129 31 Jul 2012 122
11 Nov 2010 136 32 Aug 2012 124
12 Dec 2010 132 33 Sep 2012 127
13 Jan 2011 124 34 Oct 2012 133
14 Feb 2011 121 35 Nov 2012 136
15 Mar 2011 125
16 Apr 2011 150
17 May 2011 135

*Use data point 1 to 31*