Building Trust in Agentic AI for Intelligent Commerce

Artificial intelligence is reshaping commerce with intelligent, interconnected experiences. However, trust in AI companies has declined to 53%, and to realize AI's promise, we must close the trust gap by building responsible, transparent, and people-focused technologies. Visa's global payments network is built on responsible data handling, and the company's data platform is one of the most sophisticated and secure in the world. To implement AI responsibly, companies must prioritize safety and consumer control through the use of data tokens and APIs that empower consumers to maintain granular control over their data and AI interactions.

Artificial Intelligence (AI) is significantly transforming the retail landscape, offering retailers unprecedented opportunities to enhance customer experiences and drive profitability. According to NVIDIA’s State of AI in Retail and CPG Survey, 90% of retailers are leveraging AI in some form, indicating its growing importance in competitive operations [1].

AI in retail encompasses various technologies, including predictive AI, generative AI, and agentic AI, which can analyze customer behavior, optimize supply chain management, and deliver personalized shopping experiences [1]. These technologies can automate routine tasks, such as inventory management, dynamic pricing, and merchandising, while also providing hyper-personalized recommendations and enhancing customer service [1].

One of the primary benefits of AI in retail is its ability to create efficiencies and reduce costs. For instance, AI-driven recommendation engines can boost conversion rates and average order value (AOV) by tailoring interactions to customer preferences [1]. Additionally, AI-powered search and conversational AI shopping assistants can improve product discovery and customer support, respectively [1]. Furthermore, AI can help retailers optimize pricing and reduce cart abandonment, thereby increasing revenue [1].

However, the implementation of AI in retail must be done responsibly. Trust in AI companies has declined to 53%, highlighting the need for transparent and people-focused technologies [1]. Companies must prioritize safety and consumer control through the use of data tokens and APIs that empower consumers to maintain granular control over their data and AI interactions [1]. Visa, for example, has built its global payments network on responsible data handling, emphasizing the importance of consumer trust and control [1].

In conclusion, AI is reshaping commerce by providing intelligent, interconnected experiences. To realize AI's promise, retailers must focus on responsible implementation, ensuring that technologies are transparent, safe, and consumer-focused. By doing so, retailers can enhance customer experiences, drive profitability, and build trust in AI technologies.

References:
[1] https://sendbird.com/blog/ai-in-retail