Why choose this project topic?
This topic turns distinguishing observed sales from demand when stock is unavailable into a measurable analytical question. Comparing demand estimate bias, forecast error and stockout sensitivity gives a student material for visual results, methodological criticism and a discussion of how the data's limitations change the conclusion.
How does retail stockout censoring bias affect distinguishing observed sales from demand when stock is unavailable, as measured by demand estimate bias, forecast error and stockout sensitivity?
Choose an accessible licensed or synthetic dataset, agree the unit of analysis and narrow distinguishing observed sales from demand when stock is unavailable to a reproducible comparison your supervisor can review.
Proposed project objectives
- 01Define the data, assumptions and comparison design for distinguishing observed sales from demand when stock is unavailable.
- 02Simulate known demand with stock constraints, compare naive forecasts and censored-demand approaches and inspect identification limits.
- 03Compare demand estimate bias, forecast error and stockout sensitivity and report uncertainty and sensitivity to analytical choices.
A suggested research approach
Simulate known demand with stock constraints, compare naive forecasts and censored-demand approaches and inspect identification limits. Confirm the data licence and variable definitions before analysis. Preserve an untouched evaluation set where relevant, document exclusions and missingness, and report demand estimate bias, forecast error and stockout sensitivity with uncertainty or sensitivity checks rather than selecting only favourable results.
What you will need
- Synthetic demand and stock histories
- Censoring scenarios
- Forecast analysis tools
Keep your project scope clear
Unobserved demand cannot be recovered exactly from sales records alone.
Data Science project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3Research Methodology
- Chapter 4Presentation and Analysis of Results
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
Your title, department, research question and outline are ready. Add your institution, personalise the details and continue to your project workspace.
Generate the Complete Project Generation uses your word balance. Review the draft and supply your own verified research findings.