What this book covers
Chapter 1, Improving Market Opportunity Identification, focuses on using AI for market opportunity identification and how it can be used to better understand customers' interests in addition to their needs and desires. This is an important step for any company looking to refine its value proposition, modify customer experience, or create new products or services.
Chapter 2, Creating Product Ideas, explains how to leverage AI and machine learning to find product ideas. We cover the concepts of NLP and large language models to generate product ideas. We explain how you can use AI to analyze market data to create relevant and in-demand product ideas.
Chapter 3, Understanding How to Predict Industry-Wide Trends Using Big Data, explains how to use advanced machine learning and data science techniques to predict future trends. It explains what big data is, how it's structured, and how you can leverage it to see into the future. This is vital to creating successful products or services because it helps you understand what consumers will want in the future.
Chapter 4, Applying AI for Innovation – Luxury Goods Deep Dive, explores how AI is used for innovation in the luxury goods industry. It explores how luxury goods companies are using this technology to create personalization, improve customer experience, and develop new products.
Chapter 5, Applying AI for Innovation – Wireless Networking Deep Dive, looks at how AI is used in the wireless networking industry. It explores how AI is applied to optimize KPIs such as star ratings, bestseller rankings, product sentiment, and conversion.
Chapter 6, Applying AI for Innovation – Consumer Electronics Deep Dive, analyzes how AI is used for innovation in the consumer electronics industry. It explores how this technology is applied to understand and optimize product positioning, brand research, idea generation, insights extraction, and more.
Chapter 7, Applying AI for Innovation – Restaurants Deep Dive, explains how data is a critical tool for restaurant innovation teams. You'll learn how to use data and AI to inform your restaurant strategy.
Chapter 8, Applying AI for Innovation – Consumer Goods Deep Dive, lays out how AI is being utilized in the consumer goods industry. It examines how AI can be used for consumer goods market intelligence, generating content, analyzing sentiment, and so much more.
Chapter 9, Delivering Insights with Product AI, is an exploration of Commerce.AI's Product AI features, which empower product innovation teams to research, develop, launch, and track winning products.
Chapter 10, Delivering Insights with Service AI, explores Commerce.AI's Service AI features, which enable service innovation teams to build next-generation experiences and reputation by truly understanding their customers and the rest of the market.
Chapter 11, Delivering Insights with Market AI, explores Commerce.AI's Market AI features, which enable teams to uncover facets, use cases, and topics to determine changing customer behavior, trending products, emerging brands, and new product opportunities.
Chapter 12, Delivering Insights with Voice Surveys, dives into Commerce.AI voice surveys, which use speech recognition and natural language understanding. You'll learn how to gain unparalleled insights into what consumers are thinking.