Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P33 · Implementation blueprint · Mappls Fleet Command
Fleet Telematics & Mobility Control Tower
Fleet location, utilisation, trip, delay and exception data are fragmented across devices and operators.
01 · Target operating outcome
Define the change before choosing the technology
Which exceptions are discovered too late today: delay, route deviation, idle, detention or unauthorised use?
Higher fleet utilisation and on-time performance; lower idle, detention, theft and control-room effort.
Target
Data availability > agreed threshold; ETA/alerts accepted; utilisation/exception KPI improves; rollout economics agreed.
02 · Solution architecture
One connected flow from source data to operational action
InTouch/Gtropy platform, GPS/AIS-140 devices, live tracking, trips, geofences, ETA, alerts, dashboards, APIs and multi-vendor integration. Mappls connects proprietary map and location intelligence with intouch/gtropy platform, gps/ais-140 devices, live tracking, trips, geofences, eta, alerts, dashboards, apis and multi-vendor integration. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Live command · Trips · Drivers · Vehicles · Costs
Decision and outcome
Higher fleet utilisation and on-time performance; lower idle, detention, theft and control-room effort.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Fleet Head
Sponsor / owner
Transport Operations
Manager / analyst
Control Tower
Manager / analyst
COO
Manager / analyst
Supply Chain Director
Operator / specialist
IoT/Telematics
Operator / specialist
IT
Operator / specialist
Safety
Operator / specialist
Maintenance
Operator / specialist
Fleet manager
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
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 details05 · Proof of value
Use a bounded implementation to answer the scale decision
Live 25-100 vehicle pilot across representative lanes with exception workflows and SLA dashboard.
- Confirm data, geography, users and workflow: Fleet mix and device coverage? Who monitors exceptions? What SLA/cost baselines and integrations apply?
- Configure Mappls Fleet Command for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Data availability > agreed threshold; ETA/alerts accepted; utilisation/exception KPI improves; rollout economics agreed.
- Package production scope and commercial model: Device/hardware + per-vehicle SaaS + integration and support.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement