Book Image

AI-Powered Commerce

By : Andy Pandharikar, Frederik Bussler
Book Image

AI-Powered Commerce

By: Andy Pandharikar, Frederik Bussler

Overview of this book

Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
Table of Contents (17 chapters)
1
Section 1:Benefits of AI-Powered Commerce
5
Section 2:How Top Brands Use Artificial Intelligence
11
Section 3:How to Use Commerce.AI for Product Ideation, Trend Analysis, and Predictions

Summary

In this chapter, we've learned about the key challenges facing consumer goods brands, and how to overcome them by analyzing product data and using the Commerce.AI data engine.

Data can be used to overcome significant challenges in the consumer goods space, which is why many leading brands and product teams are investing in AI to gain an advantage.

In particular, we've learned how to use AI for tasks such as consumer goods content generation, analyzing consumer goods reviews, and demand forecasting. We've also looked at how consumer goods product teams can use Commerce.AI to measure product attributes and trends, predict revenue opportunities, analyze user personas, and more. In doing so, consumer goods brands can better innovate and launch successful products.

In the next chapter, we'll explore in detail how Commerce.AI's Product AI can be used for product concept and development, product launches, and product management. These insights will...