Empathy AI

EMPATHY AI LABS #2

Conversational search agents

Conversational AI capabilities for search and product discovery UIs

Project #1AI Widget
Productized
Inspired by: Related Prompts V.1
Ready for: Motive
Also known as: AI Mode Light, Chat Widget, Virtual Retailer, AI assistant

The AI Widget is a lightweight, conversational interface that behaves much like a shopping assistant in a physical store. It offers a dialogue-driven experience where shoppers can express what they need in natural language, without rigid keywords.

Powered by Related Prompts technology, it brings AI-driven understanding directly into the shopping journey. The widget interprets shopping intent in real time, guiding users with intuitive prompts and suggesting the most relevant products directly within the conversation flow.

Fast, intuitive, and easy to embed, the AI Widget adds a conversational layer to product discovery while staying true to Empathy’s privacy-first principles.

Key features
  • Conversational interface: Natural language interactions that feel like chatting with a personal shopping assistant.
  • Context-aware responses: Understands the intent behind queries, providing relevant product recommendations.
  • Query broadening: Expands vague or under-specified queries to suggest related products and guide discovery.
  • Query reduction: Simplifies complex or multi-term queries to focus on the core shopping intent.
  • Real-time suggestions: Provides dynamic, relevant product recommendations at search time.
  • Seamless integration: Easily integrates into existing search experiences without disrupting the shopper journey.
  • Privacy-first: Runs on private, self-hosted infrastructure, keeping shopper data protected and anonymous.
Use cases
  • Product discovery assistance
  • Personalized shopping guidance
  • Handling complex queries
  • Handling broad or vague queries
  • Search intent refinement
  • Alternative search entry point
  • Mobile-first conversational exploration
Application scenarios
The AI Widget can be applied across various e-commerce scenarios to enhance the shopping experience:
  • E-commerce product discovery: Provides conversational product discovery that helps shoppers find products through natural language, offering a guided, conversational discovery flow.
  • Mobile shopping experiences: Offers an intuitive chat-like interface ideal for small screens, touch interactions, and voice-to-text input.
  • Complex and multi-step shopping intents: Excels when shoppers describe layered needs, interpreting the intent and surfacing suitable products.
  • Onboarding for new shoppers: Supports new shoppers who do not know where to start with guided product discovery, helping them articulate their needs, refine intent, navigate the site, and quickly reach relevant products.
  • Customer support: Helps shoppers address product-related questions, assists with search guidance, and offers recommendations without escalating to human support.

Discover shops that already use it

PharmaciusMotive Market
Project #2Truman
Productized
Inspired by: Project Gutenberg
Ready for: Empathy Platform
Also known as: CDL, AI book assistant, Virtual bookseller

Truman is an AI-powered discovery assistant for Casa del Libro that transforms how people explore and find books. Instead of relying on traditional keyword search, Truman allows readers to express their interests, reading preferences, or curiosity in natural language and returns contextual, tailored book recommendations that match their intent.

Designed as an intelligent system, it recommends books, generates personalized synopses, and answers literature-related questions without mimicking human emotions, keeping interactions transparent and grounded.

Truman runs on open-weight models hosted in Empathy AI's private cloud, ensuring data privacy, ethical design, and a sustainable computational footprint. Accessible both online and via tablets in physical stores, it creates a seamless discovery experience across digital and in-store environments. Truman exemplifies a new paradigm of responsible, conversational AI that enhances discovery while aligning with reader curiosity and retailer values.

Key features
  • Natural language discovery: Understands expressive queries and reading interests.
  • Contextual book recommendations: Suggests books tailored to user preferences.
  • Literary insight assistant: Provides book overviews and answers book and literature-related queries.
  • Non-anthropomorphic AI: Focuses on useful responses, not persona.
  • Privacy-first and sustainable architecture: Operates on a private, controlled AI cloud, minimizing energy use and environmental impact.
  • Multi-channel access: Available online and in physical store tablets.
Use cases
  • Conversational book discovery
  • Personalized reading recommendations
  • Browse without specific titles or authors
  • Learning about genres and themes
Application scenarios
Truman demonstrates how conversational AI can enhance discovery across various retail and educational contexts:
  • Book e‑commerce: Helps readers find books with expressive, contextual queries.
  • Media & entertainment retailers: Recommends music, albums, films, or streaming shows based on natural language queries.
  • Educational & learning platforms: Guides learners through topic-specific textbooks, online courses, and learning resources.
  • Cross‑channel engagement: Enhances both online and on‑site user journeys.
  • Physical retail experience: Offers in-store AI assistance.

Discover shops that already use it

Casa del Libro
Project #3Healthy eating with Ocado
Prototype
Inspired by: Original idea

Healthy Eating with Ocado is an AI-powered grocery discovery experience that helps people find healthier options, tailored to their dietary preferences, through natural conversation. Leveraging the EmpathyAI Router technology for advanced natural language understanding, it interprets complex dietary questions, nutritional goals, and lifestyle needs, turning them into clear guidance, curated meal plans, and dynamic product suggestions sourced from Ocado's 32,000-item catalog.

The experience feels like chatting with a trusted nutrition companion: shoppers can ask about diets, ingredients, or restrictions, and instantly receive practical recommendations, explanations, and product carousels ready to be added to the cart.

Its transparent reasoning, showing how actions and intents are interpreted, creates trust while keeping people in control. Healthy Eating with Ocado showcases how conversational AI can enhance grocery shopping into a more informed experience, aligned with the shopper's wellness journey.

Key features
  • Dietary preference understanding: Recognizes and adapts to various dietary requirements, restrictions, and preferences.
  • Nutritional intelligence: Provides dynamic product recommendations from Ocado's full catalog based on nutritional value and health benefits.
  • Intent understanding: Maps queries to actions, narrowing or broadening intent when needed, facilitating cross-selling and contextual recommendations.
  • Meal-plan generation: Creates meal plans aligned with individual health goals with detailed, science-backed explanations.
  • Conversational discovery: Allows natural, dialogue-based interactions, rather than keyword-based searches, to explore healthy food options.
  • Transparent reasoning: Displays the chain of thought so people can understand the AI understanding process behind.
Use cases
  • Healthy product discovery
  • Dietary preference-based search
  • Nutritional education and guidance
  • Personalized wellness shopping
  • Meal-planning assistance
Application scenarios
Healthy eating with Ocado showcases how AI can transform grocery shopping into a personalized wellness experience:
  • Grocery e-commerce: Support shoppers in finding healthier alternatives and diet-friendly products.
  • Wellness and nutrition platforms: Connect dietary insights directly with product availability.
  • Specialized diet journeys: Assist people following specific diets (such as vegan, keto, gluten-free, or medically guided diets) with intelligent product filtering and personalized recommendations.

Try out the demo now at

Ocado
Demo

Empathy Platform
Project #4AI Deep Dive
Prototype
Inspired by: AI Widget
Ready for: Empathy Platform

AI Deep Dive is an immersive conversational search experience designed for e-commerce environments, helping shoppers to explore products in depth using natural language. As an evolution of the AI Widget, it can be embedded within AI Overview experiences or launched as a standalone, full-width search interface for deeper exploration. Shoppers interact naturally, asking questions and exploring options in their own words, while the assistant interprets context and intent to deliver relevant product recommendations.

The experience includes contextual persistence for follow-up queries within a conversation. The AI Deep Dive assistant remembers previous shopper queries, keeps the underlying topic and intent in mind, and expands results and product recommendations accordingly, allowing individuals to explore naturally without repeating previous interactions. Additionally, conversation history can be saved, allowing shoppers to close a conversation and later revisit or resume earlier interactions.

By combining conversational discovery with persistent context, AI Deep Dive creates a richer, more exploratory search experience while also generating content-rich indexable pages for popular queries, supporting long-term SEO performance and organic discoverability. AI Deep Dive transforms e-commerce search into a dynamic, interactive shopping experience that feels intuitive, informative, and personalized.

Key features
  • Conversational deep exploration: Lets shoppers navigate the catalog using natural language.
  • Contextual intent understanding: Interprets user queries to provide relevant recommendations.
  • Persistent intent: Tracks topic and intent throughout the conversation.
  • Chat history: Allows shoppers to recover and revisit previous interactions.
  • Full-width search layer: Can operate as a standalone interface for deeper exploration.
  • SEO enhancement: Generates pages for popular queries to boost organic visibility.
Use cases
  • Product discovery
  • Intent refinement
  • Complex, natural-language, or exploratory queries
  • Persistent interactions
  • Personalized recommendation sessions
  • Assisted shopping journeys
  • SEO-optimized content generation
Application scenarios
AI Deep Dive enhances e-commerce search by fostering deeper, more contextual product exploration:
  • E-commerce search experiences: Engages shoppers with interactive, topic-driven product discovery.
  • Product categories with complex selection criteria: Guides users through nuanced choices.
  • High-traffic queries: Generates content pages to improve SEO and attract new users.

Demo available soon

Farmaciasdirect

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