AI recommendations
How AI turns declared preferences into relevant recommendations, including for first-time visitors with no history.
If you want customers to share, give them something back
Customers need a reason to share their preferences. A relevant product recommendation, a useful profile match, a call with a prepared adviser or a chance to win can make answering worthwhile. Make the benefit clear before asking questions, deliver what you promise and use the answers to improve what happens next.
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The Preference Gap and what clicks leave unanswered
The Preference Gap is the distance between what businesses observe about customers and what they understand about their needs, preferences and intentions. Roccai’s framework helps teams separate facts from assumptions, ask relevant questions and decide how the answers should inform recommendations, marketing and follow-up.
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Roccai vs. HubSpot Quizzes: What’s the Difference?
HubSpot forms, native quizzes and Marketplace quiz tools can all build recommendation journeys. The difference with Roccai is how the journey is created and maintained: Roccai starts from your product, service or content data and helps manage the matching, so you shape the conversation instead of manually mapping every possible path.
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The Cold-Start Problem in eCommerce (and How AI Solves It)
The cold-start problem is when personalization fails because a new visitor has no browsing history to draw on. AI solves it by collecting declared, real-time signals such as swipes, preferences, and goals instead of past behavior, building a relevant shortlist in a few answers. Roccai's guides do this cookieless and GDPR-compliant, working from the first visit.
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Product Matching Starts with Understanding What Customers Want
Customer-to-product matching connects shoppers with relevant products using their needs, preferences and product information. Roccai Guide asks customers directly and uses their answers for recommendations. Roccai Growth Intelligence analyses the resulting preference and intent data to inform communication, sales follow-up and product decisions.
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Embracing Hyper-Personalization: The Future of Digital Marketing
Hyper-personalization uses AI, machine learning, and real-time behavioral data to deliver experiences tailored to each individual, going beyond basic demographic segmentation. Done right, it lifts engagement, conversions, and loyalty while respecting data privacy and consent. Roccai delivers it through interactive guides that turn declared customer intent into actionable zero-party data.
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The power of Multiple Swipe AI Technologies Unlocked
Swipe-based AI (Multi-Swipe AI) turns simple swipe interactions into declared preferences and actionable insight, letting brands personalize product recommendations and lift engagement. Roccai puts this to work: customers design branded swipe cards, share their intent, and receive tailored suggestions, while your team gains preference data that feeds the tools you already use.
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Improving decision-making using Group Recommendations
Group recommender systems solve messy group decisions by letting each person swipe through relevant questions or images privately, then blending everyone's preferences into one recommendation the whole group feels good about. For travel, entertainment, and e-commerce brands, this surfaces zero-party data on group needs while lifting conversion and customer insight.
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