Primary operating owner
Fleet Head; Transport Operations; Control Tower
P33 · Representative solution case · Logistics / Enterprise / Mobility
Fleet Telematics & Mobility Control Tower
Which exceptions are discovered too late today: delay, route deviation, idle, detention or unauthorised use?
Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.
01 · Operating context
The decision environment and the problem to change
Fleet location, utilisation, trip, delay and exception data are fragmented across devices and operators.
Economic decision
COO; Supply Chain Director
Technical influence
IoT/Telematics; IT; Safety; Maintenance
Why action becomes urgent
Fleet expansion, visibility mandate, transporter digitisation, device renewal, SLA penalties, control-tower launch.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Fleet location, utilisation, trip, delay and exception data are fragmented across devices and operators.
- Location, operational and enterprise data remain separated
- Stakeholders make inconsistent decisions from partial context
- Exceptions are found late and evidence is difficult to reconstruct
A governed location-aware decision loop
InTouch/Gtropy platform, GPS/AIS-140 devices, live tracking, trips, geofences, ETA, alerts, dashboards, APIs and multi-vendor integration.
- One role-aware workspace in Mappls Fleet Command
- Live context moves directly into the responsible workflow
- Every decision, scenario and outcome can be measured and audited
03 · Stakeholder experience
One shared system, different role moments
Own and govern
Fleet Head
Own and govern
Transport Operations
Decide and coordinate
Control Tower
Decide and coordinate
COO
Decide and coordinate
Supply Chain Director
Execute and verify
IoT/Telematics
Execute and verify
IT
Execute and verify
Safety
Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.
04 · Day-in-the-life journey
How the solution turns information into an operational result
Frame the operating decision
Fleet mix and device coverage? Who monitors exceptions? What SLA/cost baselines and integrations apply?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Fleet Command workspace.
Act through role workflows
Live command, Trips, Drivers, Vehicles, Costs give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
Live 25-100 vehicle pilot across representative lanes with exception workflows and SLA dashboard.
Scale and continuously improve
Operationalise the model through Device/hardware + per-vehicle SaaS + integration and support., adoption governance, service measurement and a managed improvement backlog.
05 · Solution and data architecture
The Mappls capabilities behind the experience
Location foundation
Map, address, place, route, imagery, boundary and context layers
Operational context
Customer, asset, order, sensor, incident, task or transaction records
Application workflow
Live command · Trips · Drivers · Vehicles · Costs
Outcome loop
Data availability > agreed threshold; ETA/alerts accepted; utilisation/exception KPI improves; rollout economics agreed.
InTouch / Gtropy Fleet Platform
Tracking, trips, alerts, ETA, fleet and control tower
Product detailsTracking, Geofence & Trip APIs
Live location, trips, geofences, events and playback
Product detailsAIS-140/VLTD & GPS Devices
Certified vehicle tracking and emergency hardware
Product detailsConnected Vehicle & Companion App
Vehicle, mobile and cloud location/telematics journeys
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
Live 25-100 vehicle pilot across representative lanes with exception workflows and SLA dashboard.
- Confirm the baseline and decision scope: Fleet mix and device coverage? Who monitors exceptions? What SLA/cost baselines and integrations apply?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Data availability > agreed threshold; ETA/alerts accepted; utilisation/exception KPI improves; rollout economics agreed.
- Document data quality, adoption, security, service and scale findings
- Convert evidence into a phased production scope and accountable value plan
07 · Governance and scale
Operate the solution safely and sustainably
Identity and access
Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.
Data governance
Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.
Operating governance
Named process owners, exception SLAs, escalation, change control and adoption measurement.
Value governance
Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.
Your outcome, powered by Mappls
Put Fleet Telematics & Mobility Control Tower into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.