Automating UNSPSC Expense Classification

Automating UNSPSC Expense Classification

Overview

We worked with the Department of Finance to automate mapping expenses to United Nations Standard Products and Services Code (UNSPSC) with a bespoke machine learning model, delivering high-accuracy classifications and freeing teams from manual coding.

Problem

Analysts spent significant time reading expense descriptions and assigning precise UNSPSC codes. Existing manual processes slowed throughput and introduced inconsistency.

Solution

  • Custom ML classifier: Automated categorisation of financial transactions to UNSPSC codes.
  • Technique blend: Combined text processing, a custom learning mechanism, and semantic matching to improve coverage for future cases.
  • Accuracy focus: Tailored to the department’s data to maximise precision.

Result

  • Over 99% classification accuracy, a 15% uplift versus out-of-the-box machine learning techniques.
  • Productivity and cost savings from automating a previously manual task.

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