Deliver real-time, personalized product suggestions that drive higher sales and deeper customer engagement with our cutting-edge AI Product Recommendation Chatbot. Analyzes user behavior, preferences, and intent to display the right product at the right time across all devices.
Smart recommendations
Hi! I noticed you're interested in running shoes. Based on your browsing, I recommend these matching items that other customers love:
Athletic Socks
+15% off
Fitness Tracker
Trending
Perfect! I found 3 waterproof models in your budget. The Nike Trail Runner is most popular with customers who bought similar items. Would you like to see the bundle deal?
Smart Features:
Our AI-powered product recommendation chatbot acts as a smart shopping companion, delivering hyper-relevant product recommendations in real-time across your customer's journey. Whether a user is browsing your homepage, viewing a product, or checking out, the bot continuously learns and adjusts its suggestions based on:
Analyzes user actions as they happen - page views, time spent on products, scroll patterns, and click interactions. This instant analysis allows the bot to understand immediate interest and intent, delivering relevant suggestions while the user is actively shopping.
Leverages past purchase data to understand customer preferences, brand loyalty, seasonal patterns, and buying cycles. Uses this historical insight to predict future needs and suggest complementary or replacement products at the optimal time.
Monitors current cart items to suggest relevant add-ons, accessories, or complementary products. Identifies opportunities for cross-selling and upselling based on what's already selected, increasing average order value through intelligent bundling.
Considers geographical location, local trends, seasonal relevance, and shipping constraints to personalize recommendations. Adapts suggestions based on regional preferences, weather patterns, and local availability for maximum relevance.
Maintains continuity across desktop, mobile, tablet, and app interactions. Tracks cross-device behavior to create a unified customer profile, ensuring consistent and contextually relevant recommendations regardless of how customers engage with your store.
Combines all data signals using advanced machine learning algorithms to deliver personalized product suggestions that feel natural and helpful. Continuously learns and improves recommendation accuracy based on user interactions and conversion patterns.
Our AI Product Recommendation Assistant delivers sophisticated capabilities to automate and enhance your eCommerce processes across all touchpoints, from personalized product discovery to conversion optimization and inventory management.
Analyzes real-time and historical user data, including browsing history, cart items, page engagement time, and clicks, to deliver product suggestions tailored to each user. This dynamic targeting ensures recommendations are always relevant to the customer's current intent.
Builds dynamic user profiles by continuously learning from browsing patterns, click paths, wishlists, and abandoned cart behavior. These profiles are used to adjust recommendations throughout the session and over time.
Automatically identifies opportunities to suggest add-ons or premium versions of products users are already interested in. These recommendations can be displayed on the product detail page, in the cart, or during the checkout stage.
The bot syncs with your product inventory in real time to ensure it only recommends items that are in stock, available in the customer's location, and relevant to current promotions or supply conditions. Eliminates customer frustration and lost sales due to unavailability.
Works seamlessly with your site search engine. Prioritizes products most likely to be clicked and purchased by the individual user. If a user searches for a broad keyword, such as "summer clothes," the bot can filter and recommend trending styles, new arrivals, or seasonally relevant products.
Detects when a user is about to leave or abandons the cart, then instantly shows alternative products, limited-time offers, or personalized bundles to re-engage the shopper.
Test multiple versions of your recommendation flows---such as "new arrivals" vs. "bestsellers" or "manual rules" vs. "AI-suggested"---to determine what converts best. Data-backed decisions to maximize ROI.
Syncs with your inventory management system (IMS) to avoid recommending out-of-stock or low-inventory items. Promotes products based on stock levels and the current status of the supply chain. Prevents customer frustration and improves operational efficiency.
Integrate this recommendation bot with other agents, such as the AI Shopping Assistant, AI Cart Recovery Bot, or AI FAQ Bot, enabling end-to-end eCommerce workflows.
RhinoAgents is an API-first automation and agent orchestration platform, allowing seamless integration of your AI Product Recommendation Bot across your existing tools and platforms for enhanced eCommerce performance.
Our API supports additional integrations for your specific eCommerce needs.
Our AI Product Recommendation Bot offers unique advantages that set us apart in the eCommerce automation space. From API-first connectivity to intelligent personalization, we deliver results that transform your customer shopping experience.
Our agents are equipped with prompt logic and AI-powered personalization, ensuring your store adapts to individual customer behaviors in real time. Each agent is fine-tuned to deliver value, whether it's converting a sale or resolving a query instantly.
Whether you're a small D2C brand or a large marketplace, RhinoAgents integrates seamlessly into your stack with API-ready architecture, allowing for seamless integration with Shopify, WooCommerce, Magento, BigCommerce, custom platforms, and more.
Use our drag-and-drop UI builder or prompt-based setup to customize agent workflows without developer dependency. Launch pilots in days, not weeks.
Every interaction and automation stage is logged through our job system, providing your team with complete visibility and control across all e-commerce agent functions.
All agents evolve over time using AI/ML to optimize flows and outcomes. Performance metrics fuel iterative improvements, ensuring your solution remains effective.
Get your AI Product Recommendation Bot up and running quickly with our pre-built templates and streamlined onboarding. Start seeing results within days, not months.
See how eCommerce businesses are transforming their customer experience and boosting sales with our AI Product Recommendation Bot across different scenarios and business objectives.
eCommerce retailer struggling with single-item purchases
Challenge: Shoppers were only purchasing single items, leading to lower-than-expected cart sizes. There was little guidance during the product discovery process.
Solution: The AI Product Recommendation Bot was deployed to identify frequently bought-together items and suggest personalized bundles directly on the product detail page and during checkout. The bot also learned from browsing patterns to recommend related accessories and care products.
"The bot transformed our product discovery. Customers now find relevant accessories they didn't know they needed, boosting our average order value significantly."
— eCommerce Manager
Broad catalog with high bounce rates on landing pages
Challenge: A significant portion of traffic was bouncing off landing and category pages without engaging with products. The catalog was broad, making it difficult for users to find what suited their taste or needs.
Solution: The bot was embedded across high-traffic pages, utilizing session-based signals (such as click paths, dwell time, and search keywords) to personalize product grids in real-time. Recommendations were also placed at scroll breakpoints to keep users engaged.
"Our visitors now discover products that match their interests immediately. The personalized experience keeps them browsing and engaging with our catalog."
— Product Manager
First-time visitors without purchase history
Challenge: First-time visitors lacked browsing or purchase history, making it difficult to show relevant product suggestions. Static recommendations led to low engagement.
Solution: The bot utilized contextual signals, including referrer URL, device type, geolocation, and in-session behavior, to deliver dynamic product suggestions. It also relied on trending products and category-specific bestsellers as fallbacks.
"Even without purchase history, new visitors now see relevant products immediately. Our first-session conversion rates have improved dramatically."
— Growth Marketing Lead
Find answers to common questions about our AI Product Recommendation Bot and how it can transform your eCommerce customer experience and boost sales.
Copy the prompt below to quickly set up your AI Product Recommendation Assistant and start delivering personalized product suggestions, smart upselling, and enhanced customer shopping experiences across your eCommerce platform.
You are an AI Product Recommendation Assistant for an eCommerce store (Shopify, WooCommerce, or BigCommerce), designed to help users find the right products, answer questions, and boost conversions. You're connected to the Product Catalog API (for product details, availability, and variations), Order API (to check past orders), Cart API (to add products), Customer Profile API, Inventory API, Shipping API (for delivery estimates), and Discounts API. You can perform actions like searchProducts(query), getProductDetails(product_id), addToCart(product_id, variant_id, qty), applyDiscount(code), checkOrderStatus(email or order_id), recommendProducts({preferences}), and connectToHumanAgent() when needed.
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