AI RECOMMENDATIONS ENGINE
Recommendations that actually resonate
Leverage AI-driven behavioural signals to suggest products and content your audience genuinely wants — boosting engagement, cart size, and lifetime value at every touchpoint.
AI-powered product & content recommendations
Inspire undecided shoppers at every stage
Wherever your visitors are in their journey — browsing casually, comparing options, or ready to buy — bCloud AI Recommendations drives higher engagement and conversion by surfacing personalised suggestions in dynamic carousels. Advanced affinity filters let you fine-tune suggestions at the individual or customer segment level, ensuring every recommendation feels hand-picked.
Maximise catalogue exposure and cross-sell opportunities
A seamless connection with your product catalogue and content management system ensures visitors discover the full breadth of your inventory throughout their journey. Surface complementary items, hidden gems from deep in the catalogue, and high-margin products that would otherwise go unseen — turning every page view into a cross-sell or upsell opportunity.
Understand recommendation performance at a glance
bCloud Recommend Analytics gives you clear visibility into how every recommendation model performs across your site. Stop guessing whether suggestions are working — get concrete metrics on click-through rates, add-to-cart actions, conversion attribution, and revenue contribution, all in a single dashboard designed for merchandisers and product managers.
How bCloud AI Recommendations works
Our engine transforms first-party behavioural signals and catalogue data into revenue-driving suggestions in four straightforward steps.
Ingest & enrich your data
Sync your complete product or content index and stream real-time events — views, clicks, add-to-carts, and purchases. The engine enriches each record with vector embeddings and visual fingerprints, building the foundation for high-quality matches.
Train purpose-built ML models
Supervised machine-learning algorithms — collaborative, content-based, and hybrid — detect patterns in what shoppers browse and buy, predicting what each person is most likely to want next with high precision.
Fast suggestions via API
A single API call returns a ranked list of recommendations in under 10 milliseconds. Choose from ready-made models — Related Products, Frequently Bought Together, Trending Items — or create custom models without slowing down the page.
Learn & optimise continuously
As fresh behavioural events stream in, models retrain automatically and feed performance dashboards. Run A/B tests, apply merchandising rules, and fine-tune relevance over time — the engine gets smarter with every interaction.
AI-powered recommendation models and tools
Frequently bought together
Increase cross-sell revenue and grow average cart value by surfacing products that naturally complement a shopper’s current selection. The model analyses co-purchase patterns across your entire customer base to recommend combinations that genuinely make sense together — not random pairings, but data-proven bundles.
Visually similar
Use advanced image recognition to identify items that share a similar look, style, or aesthetic — helping shoppers discover products that match a specific vibe or mood they’re drawn to. This model is particularly powerful for fashion, home decor, and lifestyle categories where visual inspiration drives purchase decisions.
Related items
When a product is out of stock, or a visitor is exploring for inspiration, bCloud’s related items model analyses your full catalogue in real time to surface contextually relevant alternatives. It ensures no browsing session hits a dead end, keeping users engaged and moving toward conversion.
Trending items
Showcase the hottest products in your catalogue based on real-time engagement velocity. The trending model captures emerging demand signals across your customer base, helping you capitalise on momentum and surface products that are gaining traction before they peak — boosting engagement and creating a sense of urgency.
Personalised picks
Go beyond segment-level suggestions to deliver truly 1:1 recommendations powered by individual context and real-time behavioural signals. Each user sees a unique set of products shaped by their browsing history, purchase patterns, and in-session intent — making every recommendation feel personally curated.
Your complete AI recommendation platform
Simple to launch
Deploy personalised recommendation carousels in minutes. Sync your catalogue and events, drop in our pre-built widgets, and stay in full control with no-code tuning — no data science team required.
Blazing fast
Serve AI-driven product or content recommendations in under 10 milliseconds, keeping pages responsive and add-to-cart clicks flowing — even during peak traffic events like flash sales and holiday surges.
Infinitely scalable
Built on infrastructure that processes billions of records and trillions of recommendation requests annually with 99.999% uptime — engineered to grow seamlessly with your business from startup to enterprise scale.
Serving a wide range of industries
B2C eCommerce
Grow average order value with AI-powered product suggestions that adapt to every click — from homepage inspiration and category browsing to checkout upsells and post-purchase follow-ups. Every recommendation is powered by real-time behavioural data, ensuring shoppers see items they genuinely want at the moment they’re most likely to convert.
B2C eCommerce
Grow average order value with AI-powered product suggestions that adapt to every click — from homepage inspiration and category browsing to checkout upsells and post-purchase follow-ups. Every recommendation is powered by real-time behavioural data, ensuring shoppers see items they genuinely want at the moment they’re most likely to convert.
Marketplaces
Surface the most relevant listings for each buyer and seller across your multi-vendor catalogue. bCloud AI Recommendations increases GMV and engagement by matching user intent with the best available inventory, ensuring both sides of the marketplace benefit from more intelligent product discovery.
Media
Keep audiences engaged with content recommendations that learn from viewing history, reading patterns, trending topics, and seasonal interests. Whether you’re serving news, entertainment, or educational content, bCloud AI surfaces the next piece of content each user is most likely to consume.
SaaS
Drive feature adoption and user retention by recommending relevant in-app tutorials, integrations, plan upgrades, and knowledge base articles based on real-time product usage signals. Help users discover value faster and reduce churn by guiding them to the features that matter most for their workflow.
AI Recommendations Features
Enterprise search
Connect your customers to the right content, and your employees to the right internal knowledge
Mobile $ App
Connect your customers to the right content, and your employees to the right internal knowledge
Image Search
Build visual search and discovery for your website or app. bCloud's image recognition models
Headless commerce
Deliver rich product and content recommendation experiences within a headless commerce architecture
Voice & Search
Leverage contextual understanding, natural language processing, and AI-powered intent recognition
Analytics
Real-time analytics insights to identify trends, enhance performance, and optimize your digital experience
AI Recommendations FAQs
What makes Agent Studio different from other agentic frameworks?
Agent Studio is the only agent framework built on a decade of search-retrieval expertise and leadership. It uniquely combines real-time data retrieval with customisable orchestration, flexible LLM integration, and developer-first tooling — giving you the precision of a search engine with the intelligence of a language model.
How does Agent Studio prevent AI hallucinations?
While many AI solutions can generate plausible-sounding but inaccurate responses, Agent Studio grounds every answer in your actual data. It retrieves information from your structured search index to augment generated responses — an approach known as Retrieval Augmented Generation (RAG). Because responses are anchored to your real, up-to-the-minute data, hallucination risk is dramatically reduced.
Is Agent Studio suitable for my industry?
Yes. Agent Studio supports use cases across every vertical — from eCommerce, media, and SaaS to enterprise knowledge management and customer support. Its composable architecture adapts to virtually any AI agent requirement, regardless of industry or scale.
Which LLMs are supported?
bCloud AI supports OpenAI, Azure OpenAI, Google Gemini, and any OpenAI-compatible model. Choose the provider that best fits your requirements for relevance, speed, cost, and compliance. Use the LLM Leaderboard to compare model performance across key metrics and find the optimal fit for your use case.
Can agents access non-product data?
Absolutely. Agents can retrieve and reason over any data indexed in bCloud AI — including help documentation, knowledge base articles, editorial content, technical guides, and more. This makes Agent Studio equally effective for commerce, content, and internal knowledge use cases.
How does Agent Studio use my data?
Agent Studio leverages your first-party data — search interactions, transaction history, user behaviour, and product catalogue information — to generate highly relevant, brand-specific responses. Unlike generic agent frameworks, it integrates this data directly from your bCloud AI indices, giving your agents context-aware intelligence from day one without complex data pipeline configuration.
Turn every page view into a revenue opportunity
Join leading brands using bCloud AI to deliver recommendations that drive real business results.