Retailers are experimenting with generative AI (genAI) across various use cases, from personalized marketing to conversational search. But the strategic risks of being an early adopter of genAI versus waiting for established players to set standards remain unclear.
55% of US agency and marketing decision-makers expect AI to improve retail media by offering greater insights and recommendations, according to a July 2024 study from Quartile and NewtonX.
On today's podcast episode, we discuss the implementation challenges of GenAI, how smaller retailers should be playing with it, and when you should not use GenAI. Listen to the conversation with our analyst Sara Lebow as she hosts analysts Blake Droesch and Carina Perkins
Content creation has relied on manual processes—marketers, writers, and designers crafting messages that resonate with audiences. The introduction of generative AI has revolutionized these workflows. Three-quarters (75%) of professionals who use generative AI say the technology saves them between one to 10 hours per week, according to the recent Contentful survey.
The most important objective for a CMO is balancing short- and long-term goals in an environment that’s pushing to demonstrate short-term success, Julie Bowerman, CMO at Kellanova North America, said at the Zeta Live ‘24 conference last week.
Generative AI (genAI) is making it easier than ever to create individualized banking experiences at scale. As banks and credit unions plan their personalization strategies, they need to understand the customer-facing areas where genAI can deliver the most value.
September was style month, with Walmart hitting New York Fashion Week, Levi’s launching an app for stylist recommendations, Old Navy going vintage, and more. See who else made our September unofficial most interesting retailers List.
GenAI tools could help by providing in-store staff with quick answers to process and procedure questions and customer inquiries via an easy-to-use conversational interface.
As 2024 heads into the last quarter, the tech and media landscapes face pivotal shifts. From a potential AI backlash to new Google consent workflows, and TikTok’s future, these medium-term predictions, shared by our analysts on a recent two-part episode of ĢAV’s “Behind the Numbers” podcast, spotlight the challenges and opportunities that may lie ahead.
On today’s podcast episode, we discuss what to make of former Apple Chief Design Officer Jony Ive working on a new AI device, what an AI model with “reasoning abilities” can actually do, and whether Ilya Sutskever’s new AI startup can create safe superintelligence. Join host Marcus Johnson, along with analysts Jacob Bourne and Grace Harmon, for the conversation.
Content creators gain access to OpenAI’s training data: Legal battle over unauthorized use of copyrighted content could set industry-shaking precedents.
YouTube is doubling down on social connectivity and AI tools to stay competitive with rivals like TikTok and Meta. The platform’s new suite of features introduced last week include Communities, a fan’s ability to boost creators’ videos, generative AI (genAI) video tools, and gifting. These innovations mimic what’s working on other social media platforms as YouTube seeks to remain social even as it builds out its connected TV business.
Retailers turn to genAI to help with product listings: Puma, Walmart, and Amazon are among the companies that see the tech as an opportunity to deliver a more personalized, relevant experience to shoppers while improving productivity.
In part one of this two-part podcast episode, we discuss some medium-term predictions that are too specific to be 100% certain about but could still come true, including: why the sentiment towards GenAI might turn, what to expect from Google’s new consent workflow now that it is not phasing out third-party cookies from Chrome, and why Tubi might be about to leapfrog Hulu, Disney+, and Peacock. Tune in to the discussion with host Marcus Johnson, and analysts Ross Benes, Evelyn Mitchell-Wolf, and Max Willens.
Search is an integral part of the customer journey—and genAI is a potential game changer. Online shopping is one of the most viable use cases for consumer-facing genAI.
On today's podcast episode, we discuss what would happen if TikTok is (or isn’t) banned in America, what marketers get most wrong about consumers, will AI smartphones be impactful right out of the gate, will most companies eventually ask employees to be in the office five days a week, the world's favorite drinks, and more. Tune in to the discussion with our analysts Blake Droesch, Bill Fisher, and Carina Perkins.
Amazon’s genAI push continues with new seller tools: The retailer released Project Amelia, an AI assistant to help sellers with queries and troubleshooting, alongside other features to improve the merchant and customer experience.
Major retailers like IKEA, Walmart, and ThredUp are launching peer-to-peer resale marketplaces, aiming to capture a slice of the booming secondhand market. This trend comes as US marketplace ecommerce sales are projected to surpass $500 billion next year, according to our forecast.
Advertisers embrace AI in content strategies: AI is becoming essential in advertising, with 57% of advertisers using it for investment decisions and nearly 70% open to AI-generated content.
Amazon didn’t waste time weaving ads into genAI search results: Just a few months after rolling out the Rufus chatbot, the retail giant is testing tailored ads based on search terms and context.