Why choose this project topic?
Distinguishing Repeat Customers from Duplicate Accounts in Farm-Product Sales Data gives the proposal a specific agricultural decision to investigate. By examining how customer identification quality affects estimates of repeat purchasing, the study can connect an accessible evidence base with an explicit comparison and a useful account of uncertainty.
How much do duplicate or inconsistent customer codes alter measured repeat-order rates?
Use surrogate customer codes and avoid contacting customers without separate authorisation.
Proposed project objectives
- 01Define a feasible study scope for how customer identification quality affects estimates of repeat purchasing.
- 02Analyse permission-cleared de-identified transaction extracts and document plausible duplicate-code rules.
- 03Compare retention estimates under conservative matching scenarios and manually review anonymous examples.
A suggested research approach
Analyse permission-cleared de-identified transaction extracts and document plausible duplicate-code rules. Compare retention estimates under conservative matching scenarios and manually review anonymous examples. Agree access, sampling and any required ethical or laboratory approval with your supervisor before collection. Keep original observations separate from assumptions and record missing or unusable evidence.
What you will need
- Redacted transaction data
- Data-use permission
- Matching analysis tools
Keep your project scope clear
Identity matching is uncertain and must not rely on sensitive personal attributes.
Agribusiness Management 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 4Data Presentation, Analysis and Discussion of Findings
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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