Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P25 · Implementation blueprint · Mappls Automotive Cockpit
Connected Vehicle, Companion App & Cloud
Vehicle, app and cloud journeys are fragmented, limiting remote services, safety, ownership engagement and monetisation.
01 · Target operating outcome
Define the change before choosing the technology
How many owners actively use the companion app after month three, and which location journeys drive repeat use?
Higher app engagement and retention; service conversion; theft/safety response; new subscription revenue and lower support effort.
Target
Telemetry completeness and latency accepted; target app journeys complete; security review passed; production cohort defined.
02 · Solution architecture
One connected flow from source data to operational action
Vehicle telemetry, trip/vehicle location, remote commands, geofencing, service/dealer discovery, companion app maps, cloud APIs and analytics. Mappls connects proprietary map and location intelligence with vehicle telemetry, trip/vehicle location, remote commands, geofencing, service/dealer discovery, companion app maps, cloud apis and analytics. 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
Cockpit · Connected services · ADAS horizon · OTA operations
Decision and outcome
Higher app engagement and retention; service conversion; theft/safety response; new subscription revenue and lower support effort.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Head Connected Car
Sponsor / owner
Digital Product
Manager / analyst
After-sales
Manager / analyst
CTO
Manager / analyst
VP Product
Operator / specialist
Customer Experience Head
Operator / specialist
Telematics Architect
Operator / specialist
Cloud
Operator / specialist
Cybersecurity
Operator / specialist
Mobile App
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
Connected Vehicle & Companion App
Vehicle, mobile and cloud location/telematics journeys
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsRealView 360 & Ground Imagery
Geotagged 360 imagery, photos and videos
Product detailsPOI, Address & Building Data
Places, building-level addresses and location identity
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Limited vehicle/app cohort integrating live location, trips, geofence, dealer/service discovery and one remote workflow.
- Confirm data, geography, users and workflow: Which signals and remote functions are available? What latency/security SLAs apply? What ownership journeys matter most?
- Configure Mappls Automotive Cockpit for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Telemetry completeness and latency accepted; target app journeys complete; security review passed; production cohort defined.
- Package production scope and commercial model: NRE + per-vehicle/platform subscription + API/usage tiers.
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