🎤 Meeting Summary — Wednesday, February 04, 2026

DSO Weekly Business Review (WBR) Wed, February 4 | 02:35 PM - 04:00 PM EST 01:27:37 [02:36 PM - 04:03 PM EST] Meeting summary The weekly DSO meeting covered multiple success stories, system performance reviews, and forecast accuracy analysis across various product lines. The team discussed AI-powered tools improving product development workflows, new forecasting models showing significant accuracy improvements, and successful feature launches. Key focus areas included addressing forecast performance gaps, system health monitoring, and improving user experience with forecasting tools. Announcements The team announced several successful initiatives including a new demand forecasting model (Chrono TFTB) that improved forecast accuracy from 37% to 27% WAP across 7 devices in 10 countries. The bulk PO create feature was successfully delivered for the Leo team, reducing development time from 5 weeks to 2 weeks through AI-assisted development. Sales Performance summaries launched in ACMUI with positive feedback from EFD and EU teams. Action Items Review The team reviewed multiple action items with key updates on pricing impact analysis, system integrations, and process improvements. A significant issue was identified with DGL demand injection for Ring.com, where demand fulfillment from Amazon.com wasn't properly captured, causing FTIS metrics to drop from 90% to 55% during Black Friday. The team developed both short-term mitigation and long-term solutions. System Health Metrics System health reporting showed overall green status with some notable callouts. Neo and allocation systems experienced failures due to missing TCPO data and input data issues, which have since been resolved. IMR spend tracking revealed a 47% decrease in DSO science fleet spending, representing a $17.8K annual cost saving opportunity. The team discussed refining reporting granularity to focus on meaningful trends rather than weekly variations. Forecast Performance Analysis USF performance for January achieved 91.6% attainment with 29.5% unbridged WAP, meeting the internal 30% benchmark. Ring and Blink showed strong performance with Ring US at 23% WAP, Ring EU at 15%, and Blink US at 17%. However, challenges remain with SMP performance, particularly driven by Cali and Sheldon underperformance. The science team took corrective action by refreshing Cali's forecast, resulting in improved performance in the second half of January. Axiom Usage and Adjustments Analysis revealed significant differences in forecast adjustment behavior between 15-week and zero-week lead times. At 15 weeks, 82% of PLMPs used USF, but at zero weeks, only 14.11% used USF, with SMP adjusting 86% of total units. This highlighted knowledge gaps in using bulk adjust capabilities and reverting to science functionality, prompting plans for enhanced training programs. Decisions Continue with Lighthouse platform requiring 0.5 headcount for maintenance Complete offline performance validation for Chrono TFTB model in February Deploy bulk PO create feature for Leo team to reduce development time Launch Sales Performance summaries in ACMUI with positive early feedback Address training gaps for axiom bulk adjust capabilities through targeted sessions Next steps Publish AI prototyping findings to wiki and create short demo video Send forecast performance update email for Ring and Blink teams this week Complete deep dive analysis on Carbados price change impact by February 20th Establish PLMP-level accuracy targets for long-tail products by March Investigate DGL demand injection issues and implement long-term solution Review competitive benchmarking data and update pricing intelligence Address axiom user knowledge gaps through enhanced training programs Amazon Meetings Summary is powered by Amazon AI. Always check for accuracy. Share feedback To view your meeting summaries Open Zoom desktop app Click "Apps" Click "Amazon Meetings Summary" Access Amazon Meetings Summary on Amazon Meetings Zoom app Learn more about Amazon Meetings Summary