Summary

In this episode of Talk Commerce, Brent Peterson interviews John Reagh, the CRO of Session AI, discussing the innovative use of behavioral AI in retail. John explains how Session AI helps retailers understand customer intent and improve conversion rates through real-time scoring and insights. The conversation delves into the differences between behavioral AI and generative AI, the impact of AI on retail discounts, and the importance of personalization in enhancing customer experiences. John also shares insights on customer feedback and the scalability of Session AI's technology, emphasizing the potential for significant ROI for retailers.

Takeaways

• Session AI focuses on understanding customer intent using behavioral AI.
• The technology provides real-time scoring to enhance conversion rates.
• Session AI operates independently of traditional identity sources, adapting to traffic behavior.
• Retailers can save margins by targeting discounts more effectively.
• The company has seen increased interest in AI from retail executives.
• Customer feedback has shifted positively with the rise of AI technologies.
• Session AI's model allows for quick testing and learning from customer interactions.
• The technology is designed to be scalable and easy to implement across platforms.
• Personalization in retail is becoming increasingly important for customer engagement.
• Investing in AI can yield significant returns for retailers. 

Sound Bites

• "We generate this score in kind of the nanoseconds"
• "We're doing this completely independent of other sources of identity"
• "You can save some margin there"

Chapters

00:00
Introduction to Session AI and John Reagh

04:02
Understanding Behavioral AI and Its Applications

07:03
The Impact of AI on Retail Strategies

10:02
Customer Journey Insights and Conversion Rates

12:47
The Role of Nudges and Incentives in E-commerce

15:32
Learning Engines and Data Utilization

18:33
Conclusion and Future of AI in Retail