Cognitive Product Curation
Simplify the shopping journey by cutting through choice overload, using our AI to deliver a curated, personalized selection of products tailored for each customer. Guide customers confidently to a purchase with an intelligent chatbot that acts as a personal shopping assistant, understanding their needs and suggesting the perfect items, including substitutes, in real-time. Turn product discovery from a tedious task into an engaging experience with customized modules for supermarkets, fashion, beverages, and other verticals — driving higher conversion rates and greater customer satisfaction.
As retailers increasingly adopt omnichannel strategies, expansive product catalogs often overwhelm customers. Our platform solves this by simplifying discovery, delivering highly personalized and contextually relevant recommendations, and guiding shoppers to fast, confident purchase decisions — reducing choice overload while increasing engagement, conversion, and sales.
Personalized Discovery at Every Touchpoint
Solution Capabilities
Conversational AI Shopping Assistant
Intelligent chatbot that asks qualifying questions and dynamically adjusts recommendations in real-time.
Supermarket Meal Plan Curation
Personalized shopping lists for entire meal plans factoring in preferences, dietary needs, budget, and store inventory.
Apparel Semantic-Visual Search
Aligns verbal style cues, body type, and budget with visual attributes for highly targeted fashion recommendations.
Beverage Pairing Intelligence
Sommelier-level food and beer/wine pairing recommendations powered by neural networks and expert pairing rules.
Omnichannel Retargeting
Curated items retargeted across physical and digital channels through our omnichannel platform.
Rich Content & Reviews
Curated items enriched with reviews, guides, and comparisons to support informed purchase decisions.
Conversational AI Shopping Assistant
Our machine learning-based Cognitive Product Curation platform addresses the “paradox of choice” by tailoring product selections to individual shopper preferences. Using behavioral analysis and demographic data, the platform presents curated products through a conversational chatbot in the Dealz! app.
AI Chatbot Curation Interface
Screenshot of the Dealz! app conversational chatbot presenting curated product recommendations with qualifying questions
End-to-End Personalized Curation Pipeline
Full-width diagram: behavioral & demographic data → ML curation engine → Dealz! chatbot → curated product recommendations → omnichannel retargeting
Supermarket – Meal Plan Curation
Generates personalized shopping lists for entire meal plans by factoring in meal preferences, dietary needs, budget, and store inventory.
Supermarket Meal Plan View
Dealz! app showing personalized weekly meal plan with curated ingredient shopping list and dietary filters
Apparel – Semantic-Visual Search
Leverages deep learning and semantic-visual search to align verbal style cues (like ‘boho-chic’ or ‘office-to-evening’), body type, and budget with visual attributes — delivering a highly targeted set of items while minimizing irrelevant listings.
Apparel Style Curation View
UI showing style cue input (‘boho-chic’), body type selector, and curated fashion results with visual attribute matching
Beverage – Pairing Intelligence
Suggests optimal food and beer/wine pairings by analyzing aroma, body, and flavor attributes using AI — delivering sommelier-level recommendations to every customer.
Beverage Pairing View
App screen showing food selection input and AI-generated wine/beer pairing recommendations with flavor profile analysis
Three Pre-Built Vertical Models — One Extensible Platform
Side-by-side visual comparison of the Supermarket, Apparel, and Beverage curation models with key differentiators and AI technique highlights
Omnichannel Retargeting
Curated items can be retargeted across physical and digital channels through our omnichannel platform — ensuring that a personalized recommendation started in-store carries seamlessly into digital touchpoints, and vice versa.
Powered by Dealz!: Curated product recommendations are delivered and retargeted through the Dealz! app, MindGlyph’s omnichannel engagement platform bridging physical and digital retail.
Omnichannel Retargeting Journey
Diagram showing curated recommendation flow across in-store, app, and digital channels via the Dealz! platform
Rich Content & Reviews
Curated items can also include rich content, such as reviews, guides, and comparisons — equipping shoppers with everything they need to make confident, informed purchase decisions alongside each personalized recommendation.
Reviews
Contextual shopper reviews surfaced alongside each curated item recommendation.
Guides
Product usage guides and how-to content to reduce post-purchase regret.
Comparisons
Side-by-side comparisons between curated alternatives for confident decision-making.
Rich Content Product Detail
Product detail screen in Dealz! showing curated item with inline review summary, usage guide, and comparison panel