According to a 2018 study by Juniper Research, spending by retailers on artificial intelligence tools will grow almost fourfold between 2018 and 2022, reaching $7.3 billion per annum – up from an estimated $2 billion in 2018. By 2022, the research found that retailers will be investing in AI tools to improve everything from customer service to sentiment analytics, automated marketing and demand forecasting.
AI, Machine Learning and Predictive Analytics Best Practice Guide
Econsultancy’s AI, Machine Learning and Predictive Analytics Best Practice Guide provides marketers with a practical and useful guide that comprehensively covers the key areas involved in the application of AI/ML and predictive analytics – the practice of applying machine learning or statistics to past data to predict the future – to augment marketing practice and enhance customer experience.
Six case studies of machine-learning powered email marketing
Machine learning has changed the game for email marketers. Once hyped as the ‘next big thing’, it is now being put into practice by a wide range of businesses to improve the effectiveness of email.
Latest Research, Trends and Best Practice
1. Introduction Marketers have long had an increasing focus on the value that data can bring to the discipline. With the heightened impact of technology on marketing, and the growing adoption and sophistication of marketing automation, it has become ever more critical for marketers to understand how to derive value from the data that they have […]
Articles on AI
Optimising customer journeys involves an increasing amount of interconnected martech and data, particularly where machine learning is involved. On a recent Econsultancy webinar, editor Ben Davis discussed the topic of customer journey optimisation with Iain Noakes, former VP Effectiveness Marketing & Optimisation at The Economist, and Ben Wild, Business Lead at Coveo. They also discussed […]
How will data, its role in advertising and marketing, and the relationship that businesses have with it evolve in 2021?
Increasingly, marketers are embracing the opportunities that artificial intelligence affords by processing data at scale to make better decisions.
Intelligent automation uses artificial intelligence to gain insights from big data and turn them into action. By implementing machine learning models into automated systems, programmes can crunch data, make decisions and then take action without the input of human beings.
Advertising platforms are offering more automation tools. However, it is important to look at the bigger picture and not always view channels in isolation. There are several key examples when automation may not be the best solution for retailers using paid search.
With more organisations showing greater understanding of how AI and machine learning can be utilised, adoption is rising.
With countries around the world still in lockdown, it’s difficult to imagine a time when it is ‘business as usual’ for the hotel industry.
Stitch Fix is an online personal styling service that sends a curated selection of clothing and accessories to customers, using a mix of machine learning and human selection.
Today, optimizing for search is optimizing your customer’s experience. As people query a search engine on their laptop, ask a voice assistant for help, or use their mobile device to find nearby solutions to their needs, brands must be positioned to appear in these critical decision-making moments.
According to Econsultancy’s Experience Index: 2020 Digital Trends report, in association with Adobe, the gap between CX leaders and mainstream organisations is becoming increasingly evident, with leaders “having advanced customer experience management in place that’s aligned across strategy and technology.”
Mark Douthwaite is an AI engineer at Peak, a start-up which works within retail and ecommerce, adapting AI to solve supply chain issues with the likes of ASOS, Footasylum, Fred Perry and Morrisons. So, let’s hear what Douthwaite does every day, and see if he can cut through the hype and explain the true power […]
Find stats on AI and machine learning – explore the ISD
You’ll find a wealth of charts and statistics related to AI in the Internet Statistics Database, for you to browse, save and export.