Market opportunity

The e-commerce landscape is ripe for innovation in how consumers research and make purchasing decisions. Here's why Product.ai is poised to make a significant impact:

Currently, online product research remains a time-consuming and difficult task. Consumers face several challenges:

Product.ai is Demand.io's ambitious AI-powered shopping assistant, designed to revolutionize how people research, compare, and make purchasing decisions online. Our mission is to create an AI that feels like talking to a real human expert with deep knowledge about you and the brands and products you're considering.

• Difficulty in differentiating trustworthy information
• Knowledge siloed across disparate articles, reviews, Q&A threads, and product pages
• Substantial effort required to analyze, organize, and apply information to shopping decisions

Generative AI and Large Language Models (LLMs) offer a clear opportunity to ease shopping research via conversational interfaces. However, generalized foundation LLMs lack specific knowledge about products, consumer sentiment, and detailed comparison criteria necessary to provide actionable shopping advice that can drive purchases.

Product vision

At Demand.io, we're reimagining the online shopping experience through the power of AI. Here's what sets Product.ai apart:

Product.ai aims to be a knowledge assistant and shopping tool with deep understanding of shopping-related topics. By combining the power of AI with our extensive e-commerce knowledge graph, we're creating an assistant that can:

• Provide personalized product recommendations
• Offer detailed comparisons and insights
• Answer complex shopping queries
• Automate shopping tasks like price tracking and deal finding

System components

Product.ai is built on a cutting-edge technology stack that combines advanced AI with our proprietary e-commerce knowledge graph. Here's an overview of our key components:

Our data advantage: ShopGraph

At the heart of Product.ai lies ShopGraph, our secret weapon in the e-commerce AI race. Here's why it's a game-changer:

ShopGraph is Demand.io's proprietary knowledge ontology about all things relating to e-commerce. It powers our user-facing products with accurate, real-time information on millions of brands, sellers, products, UPCs, software, prices, offers, reviews, and decision criteria.

Key features of ShopGraph:

• Millions of interconnected nodes organized via faceted taxonomies
• Real-time updates through LLM-powered ingestion, crowdsourcing, and partner data feeds
• Unparalleled depth and breadth in e-commerce knowledge

While competitors may build similar AI services, our competitive advantage lies in the scale and quality of our knowledge ontology. We already lead the industry in coupon data and are rapidly building similar advantages in other areas of commerce, including brand and product sentiment.

Planned product surfaces

Product.ai is designed to be ubiquitous, meeting users wherever they shop online. Here's how we plan to integrate into the shopping journey:

• Web (chat): Desktop and mobile web interface combining chat and visual interactions
• Mobile app: Native iOS and Android apps with chat and visual interfaces
• Browser extension: Shopping assistant that follows users as they browse
• Plugins: Integration with platforms like ChatGPT
• VisionOS app: Spatial computing app for conversational and AR shopping
• Messaging AI agents: Integration with popular messaging platforms

Integration with AI ecosystems

We're also preparing for integration with emerging AI ecosystems, such as Apple's App Intents API. This aligns with our vision of AI assistants becoming the primary interface for many digital interactions. As outlined in our article on the future of business in the age of LLMs, we anticipate a shift from screen-centric to conversation-centric interfaces. Product.ai is positioned to be a key player in this new paradigm, serving as a specialized shopping agent within larger AI ecosystems.

Core capabilities

Product.ai is designed to handle a wide range of shopping-related queries with high accuracy. Here's a detailed look at our core capabilities:

These capabilities showcase the versatility and depth of Product.ai, demonstrating how it can assist users across various stages of the shopping journey, from initial research to final purchase decisions.

Target user

Understanding our target audience is crucial for tailoring Product.ai to meet user needs effectively. Here's our approach:

• Initial focus: Tech-savvy early adopters interested in consumer electronics, home appliances, smart home systems, wearable devices, and AI services.
• Expansion plan: As the product matures, we'll expand to additional product categories and user types, widening our core user base to more mainstream consumers and enthusiasts across a range of e-commerce categories.

Success metrics

To ensure Product.ai delivers value to users and drives business growth, we've established a comprehensive set of success metrics:

1. Model Performance
   • Accuracy
   • Precision
   • Response time
2. Product Success
   • User satisfaction (measured through surveys and feedback)
   • Purchases driven
   • User retention and engagement
3. Personalization Effectiveness
   • Shopping preference graph depth per user
   • Recommendation accuracy and engagement

ShopGraph sub-systems

ShopGraph is the backbone of Product.ai, comprising several interconnected sub-systems that work together to provide comprehensive e-commerce knowledge:

Technology stack

Behind Product.ai is a robust technology stack designed to handle the complexities of AI-powered e-commerce. Here's an overview:

Team and resources

Building Product.ai requires a diverse team of experts. Here's our current team composition and future plans:

Current team composition:

• 1 Product Owner
• 1 Product Designer
• 1 Senior Taxonomist
• 1 Principal Software Engineer
• 1 Senior MLOps Engineer
• 2 Senior AI Engineers
• 3 Full-stack Engineers (remote)
• 1 Operations Lead
• 5 Operations Support (remote)

We plan to expand this team as we move towards launch, with a focus on AI/ML expertise, UX research, and domain experts in key shopping categories.

Development roadmap

Our roadmap outlines the key milestones in bringing Product.ai to market:

Integration with Demand.io ecosystem

Product.ai is designed to leverage and enhance Demand.io's existing ecosystem, with ShopGraph at its core:

ShopGraph Integration:

• Product.ai serves as a conversational interface to ShopGraph, making its vast knowledge accessible to users in a natural, intuitive way.