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AI-Powered Commerce

You're reading from   AI-Powered Commerce Building the products and services of the future with Commerce.AI

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781803248981
Length 256 pages
Edition 1st Edition
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Authors (2):
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Andy Pandharikar Andy Pandharikar
Author Profile Icon Andy Pandharikar
Andy Pandharikar
Frederik Bussler Frederik Bussler
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Frederik Bussler
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1:Benefits of AI-Powered Commerce
2. Chapter 1: Improving Market Opportunity Identification FREE CHAPTER 3. Chapter 2: Creating Product Ideas 4. Chapter 3: Understanding How to Predict Industry-Wide Trends Using Big Data 5. Section 2:How Top Brands Use Artificial Intelligence
6. Chapter 4: Applying AI for Innovation – Luxury Goods Deep Dive 7. Chapter 5: Applying AI for Innovation – Wireless Networking Deep Dive 8. Chapter 6: Applying AI for Innovation –Consumer Electronics Deep Dive 9. Chapter 7: Applying AI for Innovation – Restaurants Deep Dive 10. Chapter 8: Applying AI for Innovation – Consumer Goods Deep Dive 11. Section 3:How to Use Commerce.AI for Product Ideation, Trend Analysis, and Predictions
12. Chapter 9: Delivering Insights with Product AI 13. Chapter 10: Delivering Insights with Service AI 14. Chapter 11: Delivering Insights with Market AI 15. Chapter 12: Delivering Insights with Voice Surveys 16. Other Books You May Enjoy

Using AI for market opportunity identification

The most important thing to remember about market opportunity identification with AI is that it is not about creating a magic wand that will instantly identify all of the major new market opportunities. That would be a data scientist's or software developer's dream. But in the world of marketing, where success depends on being fast, efficient, and smart, those are the characteristics of an outright nightmare.

Marketing and product development professionals are constantly under pressure to deliver new products and services to market – and be first to market with them. They need to do so in a cost-effective manner, without sacrificing quality, and often with limited resources.

AI offers speed, efficiency, and smartness. With models deployed on scalable servers, AI can scan a huge amount of data and identify patterns that humans wouldn't see. This means that millions of data points can be analyzed within hours or even minutes.

AI is being used in a number of verticals, such as autonomous vehicles, facial recognition, and fraud detection.

By using AI for market opportunity identification, marketers can free themselves from the burdens of manually reviewing and analyzing information on countless possible markets or new product categories. They can offload tasks such as data collection and the creation of new product ideas to machines.

The best way to use AI for market opportunity identification is by focusing on real problems that need real solutions. For example, marketers may want to analyze their existing customer base for potential new product categories they could enter into – or specific products they could create for those existing customers.

Another example is using AI to identify new geographic markets for existing brands – or even entirely new brands – by looking at various combinations of customer demographics, buying habits, lifestyle choices, and other criteria in each region of the world.

In either case, AI can assist marketers by helping them use data already in their possession more effectively than they could otherwise (by automating some data collection tasks and streamlining others). It can also help overcome some key barriers, including assessing whether any given potential market or product category is truly scalable.

An additional benefit of using AI for market opportunity identification is that you can also use it as a tool for demonstrating your commitment to innovation and differentiating your brand(s) from competitors' offerings – which can also boost your brand awareness, reputation, and overall value.

As we've explored, AI has a number of broad benefits for product teams. Let's dive into a specific use case: AI-powered market reports.

You have been reading a chapter from
AI-Powered Commerce
Published in: Jan 2022
Publisher: Packt
ISBN-13: 9781803248981
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