Consumer goods companies Adidas and Traeger Grills are the latest enterprises to tap into generative AI, opening up capabilities related to content creation, data visualization, and complex calculations.
Dig into how this technology is different from existing tools, some recent and exciting use cases, and some of the biggest misconceptions about the use of generative AI.
While a great deal of the hype surrounding generative AI has been focused on marketing use cases, the technology stands to transform how sales organizations collect and use complex data.
Amazon is building out its supply chain services for sellers, offering merchants the ability to distribute products from its warehouses to physical stores and fulfillment centers.
CPG companies can optimize price, promotion, and revenue growth with the help of generative AI. This cutting-edge technology can generate insights and recommend actions that take sales planning from weeks to minutes, with a high statistical likelihood of market success.
The direct-to-consumer lingerie brand, owned by Victoria’s Secret, is broadening its use of generative AI to enhance customer experiences, craft marketing materials, and accelerate the pace of innovation.
The home appliance manufacturer is rolling out new app capabilities that will harness cloud technology and use generative AI to create personalized recipes.
A new Gartner survey reveals that 55% of organizations that have previously used AI will consistently consider AI for new use cases in the future, with 52% of organizations conveying risk factors as a critical consideration when assessing new AI use cases.
