Nestlé, Centric Brands, Versuni: CPG Bites at AWS Re:Invent 2024
Industry Snapshot: Generative AI in Consumer Goods
CGT sat down with Justin Honaman, head, worldwide retail and consumer goods industry strategy and business development at AWS, to learn where they're seeing use of generative AI with their retail and consumer goods customers. Most use cases are currently focused on driving cost savings or efficiencies within marketing and supply chain, including forecasting, procurement, and contract sourcing, he said.
“These are all areas that have already demonstrated value,” he noted. “A lot of it is doing things faster, more efficiently, getting more concepts or ideas. Think about a beverage company, or even a snack food company, being able to roll through consumer preferences very quickly and come up with new flavor combinations. Those are all things that are now available.”
Brands can already use generative AI to swap outfits and backgrounds with models without an issue and without a photoshoot. While meaningful use of generative AI for video is very close, the quality isn't quite there just yet, Honaman said.
Data remains the common challenge hindering the consumer goods' industry’s ability to seize generative AI’s opportunities.
“If you're on-premise with all of your data, and if it's in different systems, it's really hard to get these models to work because they don't do a good job of — no matter which model you're using — going in and grabbing different data and pulling it into a platform, and then applying analytics or any sort of model to it. So that's why, once again, things tie back to master data management and data governance.”
Food and beverage startups that are all on cloud remain a caveat given their lack of tech debt and flexibility to experiment. “There's some really interesting opportunities for growth [in the CPG startup industry] because they can try out some of these models.”
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