The CIO of the Year award is given to a chief information officer (or the senior-most tech leader) who has made the greatest demonstrable business impact within their consumer goods organization ...

Sephora talks about the AI tech developed in-house to help all its customers find their best foundation match, as part of its Diversity, Equity, and Inclusion commitments. The “lift and learn” ...

Generative AI has been the term on everyone’s lips this year, and CPGs are taking note. We explore some of the diverse ways the world’s biggest brands are harnessing these capabilities to stay ahead ...

Paired with machine learning, the AI model allows for touchless forecasting that reduces the need for manual overrides and improves accuracy, particularly around seasonal demand. The platform ...

Analytics Unite is the only event connecting retail and consumer goods tech executives and partners to share winning strategies, strengthen governance, and scale AI and data initiatives for proven ...

Much of these efforts are mixing center automation with data synchronization, according to the company, and some areas of business are already seeing results. In the company’s India-based business, ...

Henkel's investments have included tapping into AI and automation in the past in order to bolster research and development, and the new Trumbull center will add to that.

The company has been leaning toward a data- and AI-enabled approach that allows it to tap into the consumer journey in a variety of ways and right from the beginning. Lowe’s is increasingly bullish on ...

The technology strives to strengthen the connection between brands and their consumers, increase purchase likelihood, and reduce returns due to poor fit. Henkel's investments have included tapping ...

How Is AI and Machine Learning Changing the Way We Manage the Supply Chain? Shifting consumer demands, geopolitical uncertainty, labor constraints, and residual pandemic-era behaviors can all have a ...

Paired with machine learning, the AI model allows for touchless forecasting that reduces the need for manual overrides and improves accuracy, particularly around seasonal demand.

Paired with machine learning, the AI model allows for touchless forecasting that reduces the need for manual overrides and improves accuracy, particularly around seasonal demand.