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The retail operating system

One engine for every retail decision.

Most retailers run four or five separate tools.

Search in one tool, pricing in another, ads bolted on top — nobody owns the order shoppers see, and margin leaks between them. The Unified Decision Engine governs relevance, inventory, margin and sponsored demand in one pass, on every surface, including the AI assistants now doing the shopping.

Start with one surface. Leave the rest of your stack untouched.

Need one thing first? Start with our AI product recommendation engine or AI site search.

Product Recommendations for Health and Beauty Retailers | Particular Audience

How beauty and pharmacy retailers personalise recommendations around routines, replenishment and complementary products.

Product recommendations for health and beauty retailers

Health and beauty recommendations work best when they follow the shopper's routine: complementary products that complete a regimen, replenishment prompts timed to when a product runs out, and personalised picks based on browsing and purchase history. Done well, recommendations help shoppers discover suitable products in large catalogues where search alone rarely surfaces them.

Routine-led discovery

Shoppers buy cleansers, serums and moisturisers together, and refill them on a cycle. Recommendations that understand those relationships are more useful than generic best-seller lists.

Replenishment

Buy-again prompts remind shoppers to reorder before they run out, on site and in owned channels.

Brand-funded placements

Beauty brands often want visibility for launches. Sponsored recommendations can carry that, ranked on relevance with the retailer's rules.

How Particular Audience does it

In production

Frequently asked questions

Can recommendations respect regulated products?

Yes. Merchandising rules can exclude products or categories from recommendation slots where the retailer requires it.

Related guides

Use cases by retail vertical · All guides