Event Details

Locations : Blackstone’s, 101 Broad St, Stamford
Date/Time : February 4th, 6 pm

High-transaction eCommerce and retail companies operate systems where complexity is unavoidable, but prolonged blind spots are not.

Bicycle AI  recently surveyed 100+ senior leaders in product and analytics across large retail and eCommerce organizations to understand how revenue leakage is identified, triaged, and resolved inside modern application stacks.

The results reveal a growing gap between confidence and reality:

• Teams believe they can detect revenue-impacting issues quickly
• Customers are still the primary alerting mechanism
• Resolution routinely takes hours
• Nearly half of issues recur within 30 days
• AI is being used, but it’s in the very early innings
  
  

We’re hosting a small, private dinner to share the full benchmark results and discuss what’s actually required to move from dashboard awareness to real-time recovery.

(Please note: this invite is only open to VP-level product and analytic leaders at large retail and eCommerce organizations. Thank you for understanding.)