Where CGs are Putting AI/Machine Learning to Work

Artificial intelligence and machine learning carry vast potential within the consumer goods industry, but their execution is fraught with risks and challenges. The brands that can overcome these roadblocks, however, can unlock tremendous capabilities throughout sales, marketing, product innovation and the supply chain. Learn how AI/ML are being used within the CG industry to: Help brands react more quickly to meet elevated consumer demands Win at search Find success in the supply chain Excel in product innovation Uncover meaningful insights in consumer data Read on for some of the biggest threats to AI and ML implementations and the greatest missteps that follow — and then get advice for CG leaders on de-risking your initiatives. Dr. Jennifer Schaff is managing director, commercial North America, at Elder Research. In her discussion, she breaks down some of the primary areas of the consumer goods industry that are ripe for artificial intelligence (AI) and machine learning (ML) ROI. She shares some detailed examples of strategies that are working well and not so well, as well as the challenges and roadblocks surrounding AI and ML implementations. As part of this, Dr. Schaff shares some of the greatest risks and threats to these initiatives right now and offers advice for CPG leaders to de-risk their AI and ML initiatives. CommerceIQ founder Guru Hariharan shares insight about the different ways consumer behavior has quickly changed and the pressure it's placing on today’s consumer goods companies. As part of this, he details ways AI and ML can be leveraged in order for brands to be able to react more quickly to meet elevated consumer demands, including how it can be leveraged in order to win at search. In addition to providing insight about the most valuable e-commerce metrics today, Hariharan also delves into specific ways the tech is helping brands find success in the supply chain. Chelsea Barnes, Kalypso manager, and Colin Speakman, Kalypso principal, walk CGT through the benefits of AI and ML through the product innovation and R&D lens. In addition to sharing some of the most common challenges consumer good companies are facing in their implementations, the pair also imparts best practices on how companies can get kick-start their AI journey. They also dug in more deeply into the different ways CGs are being successful with these technologies — hint: it has something to do with consumer data — and even some of the biggest missteps they’re taking.

Related Topics