AI Sales Performance Reporting Agent for Industrial Automation Teams

How Cassidy automates Sales Performance Reporting using AI

Step 1: Trigger on reporting cadence or data update

The Workflow activates on a scheduled cadence (weekly pipeline review, monthly channel scorecard, quarterly QBR) or when new data lands—such as updated CRM opportunities, ERP shipment records, or partner POS submissions.

Step 2: Unify and normalize commercial data

Cassidy pulls data from your CRM, ERP, CPQ, and partner portals, then aligns account hierarchies, product families, currencies, and partner IDs into a governed commercial data model—establishing a single source of truth.

Step 3: Calculate KPIs and forecast metrics

Cassidy applies your standardized business logic to compute bookings/billings/backlog, quote cycle time, hit rate, price realization, margin leakage, pipeline coverage, and forecast accuracy metrics (MAPE, WAPE, bias) across regions, channels, and product lines.

Step 4: Generate role-based reports and scorecards

Cassidy assembles executive dashboards, sales leader pipeline views, channel partner scorecards, and rep-level next-best-action summaries—each tailored to the audience and formatted for QBRs, weekly business reviews, or always-on monitoring.

Step 5: Surface anomalies and deliver insights

Cassidy flags forecast swings, margin erosion, partner underperformance, and coverage gaps, then routes alerts and narrative commentary to the right stakeholders via Slack, Teams, or email—so your team can act before revenue slips.