Fleet News Webinar: AI and fleet management - what's working today and what's coming tomorrow
Date: 3 December 2025
This practical session looks at how AI is improving fleet operations right now and what's next on the horizon. Expect clear examples from real fleets: safer drivers, fewer incidents, faster decisions, and cleaner, usable data across systems.
If you can't join live, register anyway and we'll send the on-demand recording.
Why attend
- See which AI tools deliver measurable results today (safety, maintenance, routing, energy, admin efficiency).
- Learn how to evaluate vendors, data quality, and integration effort-without stalling your roadmap.
- Get a simple 90-day playbook to test, prove ROI, and roll out with confidence.
- Hear what leading fleet managers want next from AI-and what they'd skip.
What's working now
- Driver safety: video AI and telematics scoring to cut harsh events and collisions; targeted coaching instead of blanket training. See also NHTSA's ADAS overview for context on technology benefits.
- Predictive maintenance: models that flag component failures early, reduce VOR, and smooth parts planning.
- Routing and dispatch: dynamic routes that factor traffic, weather, delivery windows, and driver hours.
- Fuel and energy: trip-level insights to lower idling, improve EV charging timing, and cut cost per mile.
- Decision support: consolidated dashboards that prioritize exceptions and automate routine approvals.
- Compliance automation: AI-assisted checks for licenses, inspections, and documentation.
What's coming next
- Unified "control tower" views that stitch together telematics, maintenance, HR, insurance, and finance in one screen.
- Copilots inside FMS/TMS that draft incident reports, suggest routes, and propose procurement options with rationale.
- Incremental autonomy: lane-keeping and low-speed yard automation expanding into more use cases with clear safety cases and audit trails.
- Stronger V2X data feeds and standard APIs to reduce integration headaches and shorten time-to-value.
How to prepare your fleet in 90 days
- Week 1-2: Pick two high-impact use cases (e.g., collision reduction and predictive maintenance). Define 3-5 KPIs and a baseline.
- Week 3-4: Assess data quality (device coverage, event accuracy, labels). Close the gaps that would skew results.
- Week 5-8: Run a pilot with a representative vehicle slice. Keep human review in the loop and document decisions.
- Week 9-12: Prove ROI, draft a rollout plan, and lock governance: roles, thresholds, privacy, and auditability.
Metrics that matter to management
- Collision rate and severity; harsh events per 100 trips.
- Maintenance cost per mile; vehicle-off-road hours; repeat faults.
- Fuel/energy per mile; idle time; charge session effectiveness.
- On-time performance; SLA hits; dispatch response time.
- Admin hours saved; time to close incidents; claims cycle time.
- Driver turnover and satisfaction post-coaching.
Risk, privacy, and governance
- Transparency: make driver scoring criteria visible; allow challenge and review.
- Data minimization: collect what you need, keep it only as long as required, encrypt in transit and at rest.
- Bias checks: audit models for unfair outcomes by route type, shift, or vehicle class.
- Human-in-the-loop: ensure people approve safety-critical actions and policy exceptions.
- Vendor diligence: security testing, uptime SLAs, exportable data, clear ownership terms.
Who should attend
- Fleet and operations leaders who own safety, uptime, and cost per mile.
- Safety and risk managers focused on incident reduction and claims.
- Finance and procurement teams assessing ROI and vendor value.
- IT and data teams integrating telematics, cameras, and FMS/TMS.
Format and panel
A concise briefing followed by a discussion with experienced fleet managers and industry editors. Expect practical examples, live Q&A, and clear next steps you can put to work the same week.
Can't attend live?
Register now and we'll send the on-demand recording once the session ends.
Get your team AI-ready
If you want your managers to move faster on pilots and vendor evaluations, explore practical training here: AI courses by job role.
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