Forecasting model
A model that uses available information to estimate a future quantity for a defined period.
What does a forecasting model estimate?
A forecasting model estimates a future quantity using available information, such as past observations and known influencing factors. The target quantity and period must be defined. An estimate for tomorrow answers a different planning question from an estimate for the coming quarter. The result carries uncertainty. Its usefulness depends partly on the data and on whether important conditions change compared with the past.
In a fictional spare-parts warehouse, a model is to estimate demand for the coming week. The team plans a comparison with simple existing planning figures and quantities actually observed later. A new, larger service contract needs to be considered if it is not yet reflected in past consumption data. Before placing an order, the responsible person also checks stock on hand, open orders and delivery conditions. The forecast supports that decision; it is neither a guaranteed demand quantity nor an order already placed. How uncertainty will be handled and updates made when new information arrives must also be defined.
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Related terms
- Machine learningModels learn patterns from data and apply them to new inputs.
- AI inferenceApplying an already trained model to inputs to obtain a result.
- LLM evaluationLLM evaluation tests model outputs against defined tasks and criteria. One good example does not establish overall quality.
- Recommendation systemA system that selects or ranks relevant candidates from available items, for example using their features or interaction history.
- Supervised learningA learning method that uses inputs together with their corresponding target values or classes as training examples.
- Model cardA model card documents an AI model’s purpose, foundations, evaluation conditions and known limitations for a particular version.
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