Anand Mattah Chenna Kesavalu discusses the issue of bot traffic on e-commerce websites, which can significantly impact performance metrics and inflate monitoring costs. He highlights that understanding and mitigating the influence of bots is critical for maintaining accurate insights and controlling costs in today's digital landscape. To address this, he shares strategies to identify and filter unwanted traffic from RUM sessions, such as avoiding overt bot traffic injection, ignoring one-page sessions, or using a targeted approach with browser local storage and referrer domain checks. By implementing these methods, Kesavalu achieved a 50% cost savings on RUM expenses while improving the accuracy of user behavior analysis and enhancing the experiences of real users.