Major Brands Are Investing in Generative AI for Digital Commerce. They Need to Prioritize Data Transparency to Build Consumer Trust.
Major retailers are rapidly deploying generative AI tools in digital commerce, but risk eroding consumer trust by failing to prioritize data transparency and privacy safeguards. Jon Reily argues that brands must proactively communicate how AI uses consumer data to close the growing trust gap. Without clear disclosure practices, AI-driven personalization efforts may backfire and damage long-term customer relationships.
This story was produced through MarketScale. See how Professional AV teams put it to work with Customer Stories & Case Studies.
Key takeaways
Retailers are investing heavily in generative AI for digital commerce without adequate data transparency frameworks in place.
A consumer trust gap is emerging as shoppers remain uncertain about how their data is collected and used by AI systems.
Brands that prioritize clear, proactive data disclosure will be better positioned to build lasting customer loyalty in an AI-driven environment.
Get featured
Want to get featured in MarketScale Professional AV?
Create a free MarketScale workspace and get your company's expertise featured across our Professional AV coverage. No credit card, no demo required.
In the rapidly evolving world of digital commerce, how can businesses harness the power of generative AI without crossing the ethical line of consumer privacy? Making best use of generative AI in digital commerce is proving a more difficult balancing act than the initial hype around tools like ChatGPT may have signaled.
A recent study by the Retail AI Council and Salesforce, involving over 1,300 global retailers, highlighted that there's both enthusiasm for and major hurdles in front of adopting generative AI for digital commerce applications within the retail sector. Despite facing significant data management challenges—such as accessibility, integration, bias, hallucinations, and toxicity—a strong majority (81%) of retailers maintain a dedicated AI budget, with generative AI poised to significantly impact sales, margins, and operational efficiencies by 2029. Even with that, though, only 30% of these retailers are implementing generative AI strategies to enhance customer and employee experiences, and reflecting persisting consumer privacy concerns in the industry, only 17% are achieving a comprehensive customer view.
Despite facing significant data management challenges—such as accessibility, integration, bias, hallucinations, and toxicity—a strong majority (81%) of retailers maintain a dedicated AI budget, with generative AI poised to significantly impact sales, margins, and operational efficiencies by 2029.
Jon Reily, a top omnichannel retail expert and strategist, and the Senior Vice President of Commerce and Loyalty at Bounteous, weighed in on this crucial debate of the best practices for deploying generative AI for digital commerce applications, highlighting the fine balance between personalization and privacy.
"This level of personalization is fantastic for brands, it's like having a crystal ball that predicts market trends, but at an ethical standpoint, it's like walking a tightrope over a privacy pit and one that nobody wants to fall into," Reily said.
This level of personalization is fantastic for brands, it's like having a crystal ball that predicts market trends, but at an ethical standpoint, it's like walking a tightrope over a privacy pit and one that nobody wants to fall into.
— Jon Reily, Senior Vice President of Commerce and Loyalty at Bounteous
Your experts belong here
Every story in MarketScale Professional AV starts with a company putting its integrators, design engineers, and product specialists on the record. Buyers are already reading this topic. The only question is whose experts they find.
When a spec writer or facilities lead searches this category, your integrators are what they find instead of a competitor.
About the author
