# AI Recommendations

## Recommendations that reflect real behavior

Use behavioral signals and AI models to surface products and content your users are most likely to engage with.

## AI-powered recommendations across every experience

### Inspire undecided visitors
Help users move forward when they’re unsure what to do next. AI Recommendations surfaces relevant items based on how others interact with your content, guiding discovery without requiring precise queries.

### Drive discovery and cross-sell
Expose more of your catalog by recommending complementary or related items throughout the journey.

### Power recommendations in agent-driven experiences
Use recommendations to ground conversational experiences in real user behavior. What agents suggest stays relevant, actionable, and based on what actually performs.

### Measure what works
With Recommend Analytics, track how models perform across your site with clear metrics like clicks, conversions, and revenue.

## How AI Recommendations Works
AI Recommendations turns first-party behavioral data and catalog content into revenue-driving suggestions in just 4 steps:

### Ingest & enrich your data
Sync your full product or content index and stream real-time events (like views, clicks, add-to-cart, purchases). The engine enriches each record with vector embeddings and image fingerprints, laying the groundwork for high-quality matches.

### Train purpose-built ML models
Supervised machine-learning algorithms spot patterns in what shoppers browse and buy, to predict what each person is most likely to want next.

### Deliver results in real time
Serve fast, ranked recommendations via API, using pre-built or custom models.

### Learn & optimize continuously
As new interactions are captured, models retrain automatically so you can A/B-test, merchandise, and fine-tune relevance over time.

## Recommendation models and tools

Frequently bought together  
Recommend complementary items to increase cart value and drive cross-sell.

Looking similar  
Algolia's 'Looking Similar' feature uses image recognition technology to identify related items, helping users discover products that fit a specific theme.

Related items  
Recommend alternatives when users want more options or when items are unavailable.

Trending items  
Highlight popular products or content based on recent engagement.

Personalized recommendations  
Move beyond segment-based recommendations by adapting results to each user’s behavior and context.

## Featured Customer Stories

### END. Clothing lifts conversions with AI Recommendations
Streetwear retailer END. boosted product-listing click-throughs and delivered a **2% site-wide conversion lift** after adding Algolia Recommendations.

### Auto Mercado grows baskets & revenue online
Costa Rica’s premium grocer saw a **50%+ post-search conversion jump** thanks to Algolia’s Recommend plus Search.

### Gymshark’s Black Friday orders soar 150%
During peak traffic, Gymshark recorded a **150% increase in order rate** after switching to Algolia Recommend.

## AI Recommendations FAQs

### How does Algolia's recommendation engine work technically?
Recommendations rely on supervised machine learning models and the Algolia foundation using user interaction data.

### What industries can benefit from Algolia’s AI Recommendation engine?
Algolia’s AI Recommendations serves a wide range of industries like B2C and B2B ecommerce, marketplaces, and SaaS.

### How fast are Algolia's AI recommendation responses?
Most recommendation requests take 1 to 20 milliseconds to process.

### What is the implementation process for AI Recommendations?
Implementing AI Recommendations is a straightforward, four-step process:
1. Capture conversion events.
2. Send data to Algolia.
3. Train models with a push of a button.
4. Add recommendations to your UI.

### Does Algolia AI Recommendations support multiple languages?
Yes, Algolia's recommendation engine supports various languages.

### What are the benefits of an AI-powered recommendation engine?
AI-powered recommendation engines can lead to higher average order value, conversion rates, and reduced bounce rates, as evidenced by customer case studies.

### What makes Algolia AI Recommendations different from other solutions?
Algolia Recommendations stay fast, consistent, aligned with search and discovery, and integrate seamlessly into existing experiences.