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ACCA Strategic Professional · Strategic Business Leader · Finance transformation

Verdant Retail's finance function plans to use machine learning to forecast cash flows using sales, weather and promotion data. A director says the model's forecasts will be reliable once it is installed because it removes the need for human judgement. What is the most appropriate response?

The director is wrong. Machine learning can improve cash forecasting, but its reliability depends on data quality and model design, so finance staff must still validate and challenge the results. Human judgement is changed rather than removed, and forecasting is a legitimate use of the technology.

  1. AAgree, because machine learning models are not affected by the quality of input data
  2. BAgree, provided the model is built by the external auditor
  3. CDisagree, because outputs depend on data quality and need ongoing human oversight and challengeCorrect
  4. DDisagree, because machine learning cannot be applied to forecasting at all

Explanation

Machine learning can improve forecasting, but results depend on the quality and relevance of the data and on how the model is trained. Finance professionals must still validate, interpret and challenge outputs. Option four is wrong because forecasting is a recognised application.

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