Analyze driver Hours-of-Service/tachograph data for [CompanyName] in [Region] over [Timeframe] to identify violation patterns, data integrity anomalies, and coaching priorities under [RegulatoryFramework]. Calculate driver-level and dispatcher-level contribution to violations (e.g., rest breaks, daily/weekly limits, driving without a valid card/login, unassigned driving). Detect device data gaps and edits requiring annotation.
Output format:
KPI Summary (table): Violation Rate/1,000 hours [KPI1], Unassigned Distance [KPI2], Edit Rate [KPI3], Repeat-Offender Count.
Pareto Chart narrative listing top 20% drivers/depots causing 80% of events.
Coaching Plan (RACI): Activity, Responsible [RoleCoach], Accountable [RoleLeader], Consulted, Informed, Target Date.
Weekly Monitoring Template (Markdown table) with thresholds and alert rules.
Compliance Statement referencing clauses applicable in [RegulatoryFramework].
Recommend targeted route/shift redesigns and dispatcher practices to eliminate root causes.