Personalised offers and product recommendations

A recommendation should make a suitable product easier to choose. Start with the customer's need, then select rules or a model that can support it.

Collect useful context

Ask about use, style or important features. For perfume this may mean notes and occasions; for jewellery, material and form. Do not replace understanding the need with a budget question.

Define matching conditions

First restrict candidates to the right category, available variants and compatible uses. Only then rank suggestions. An unavailable or unsuitable product does not become a good recommendation through attractive wording.

Explain the suggestion

Briefly connect the product to the customer's answer. Let the person reject a feature or change direction without restarting the whole journey.

Handle no suitable match

When no option fits, say so clearly. Offer a changed criterion or contact, without inventing product features. Limit data and personalisation to a justified need.

Compare with a simple baseline

Assess relevance, cart additions, purchases, returns and support questions. More clicks are insufficient if unsuitable purchases increase. Develop around decision quality.