Revenue Alerting System
Real-time revenue monitoring that saved 50+ hours/week and caught anomalies before they became decisions.
Problem
Revenue visibility was delayed and fragmented. Deal changes were discovered too late to act. Operations spent hours assembling reports instead of responding to issues.
Solution
Automated Slack-based system that aggregates vertical metrics, tracks day-over-day movement, detects anomalies, and delivers AI-contextualized alerts to the right channels.
Outcome
Saved 50+ hours/week across strategy and operations. Revenue anomalies now surface instantly instead of after 24+ hours, preventing bad decisions.
System Architecture
Pull
Fetches daily revenue data from Sheets and BigQuery
Compute
Calculates day-over-day and week-over-week deltas by vertical
Flag
Identifies movers, missing data, and deal state changes
Explain
Generates AI context so teams know why numbers moved
Alert
Posts structured updates to the right Slack channels