A retrieval-augmented setup so the model can look up the relevant sales figures before answering each question.

Conventional machine learning, because the output needed is a numeric prediction that can be scored against what actually happens.

Generative AI with the sales history supplied in the prompt, asking the model to produce the stocking recommendations.

Generative AI fine-tuned on the three years of sales history so it learns the organization's demand patterns.