Why choose this project topic?
This topic turns making product and category forecasts add up consistently into a measurable analytical question. Comparing forecast error, coherence violations and category bias gives a student material for visual results, methodological criticism and a discussion of how the data's limitations change the conclusion.
How does hierarchical sales forecast reconciliation affect making product and category forecasts add up consistently, as measured by forecast error, coherence violations and category bias?
Choose an accessible licensed or synthetic dataset, agree the unit of analysis and narrow making product and category forecasts add up consistently to a reproducible comparison your supervisor can review.
Proposed project objectives
- 01Define the data, assumptions and comparison design for making product and category forecasts add up consistently.
- 02Use licensed or synthetic grouped sales series, compare independent and reconciled forecasts and evaluate both accuracy and aggregate consistency.
- 03Compare forecast error, coherence violations and category bias and report uncertainty and sensitivity to analytical choices.
A suggested research approach
Use licensed or synthetic grouped sales series, compare independent and reconciled forecasts and evaluate both accuracy and aggregate consistency. Confirm the data licence and variable definitions before analysis. Preserve an untouched evaluation set where relevant, document exclusions and missingness, and report forecast error, coherence violations and category bias with uncertainty or sensitivity checks rather than selecting only favourable results.
What you will need
- Grouped sales dataset
- Hierarchy definitions
- Forecast reconciliation tools
Keep your project scope clear
Coherent totals do not guarantee accurate demand forecasts or commercial benefit.
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.
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