The Situation
Dispatch and leadership were managing the same fleet from different realities.
Operational teams used live screens, executives exported CSVs after hours, and SLA breaches were often spotted later than they should have been.
Logistics
A mid-size fleet operator needed live maps, exception alerts, KPI views, and finance-ready exports from the same operational model.
Visibility
Live
Fleet map and exception state
Escalation
50%
Faster escalation on delays
View
1
Shared ops and leadership picture
Dispatch and leadership were managing the same fleet from different realities.
Operational teams used live screens, executives exported CSVs after hours, and SLA breaches were often spotted later than they should have been.
Dispatch had operational context that leadership could not see without manual reporting.
Delay, idle-time, and SLA-risk alerts needed rules that escalated issues earlier.
Executives needed fleet-level indicators with a path back to jobs and vehicles.
Finance workflows required scheduled exports, not screenshots or one-off CSV assembly.
The real cost was decisions being made after the operational moment had already passed.
Late SLA visibility turns manageable exceptions into customer-facing issues.
Leadership dashboards are only useful when they connect back to the job and vehicle signals behind the metric.
Finance reconciliation slows down when operational truth and billing outputs are treated as separate systems.
We streamed vehicle and job signals into one operational model.
We built a live map with vehicle and job states, alert rules for delays, idle time, and SLA risk, executive KPI views with drill-down, and scheduled exports for billing close.
Delay escalation became 50% faster, and operations and leadership finally shared one live view.
Having dispatch, leadership, and finance work from the same operational view removed a lot of manual follow-up. Exceptions were easier to spot, and exports no longer felt disconnected from the day-to-day work.
— Operations Lead
We see it in:
If leadership waits for nightly CSVs, the business is learning about exceptions too late.
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