Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P27 · Implementation blueprint · Mappls EV Mobility Cloud
EV Navigation, Charging & Range Intelligence
EV drivers and fleets face charging uncertainty, range anxiety and fragmented charger/vehicle data.
01 · Target operating outcome
Define the change before choosing the technology
Where do drivers abandon or reroute trips because range and charging certainty break down?
Higher trip completion and charger utilisation; fewer support incidents; improved fleet energy productivity and driver trust.
Target
Charger match/availability quality; ETA/range error within agreed threshold; target trips completed; production data feeds agreed.
02 · Solution architecture
One connected flow from source data to operational action
EV-aware routing, charger discovery/availability, range and energy estimation, battery/vehicle telemetry, trip planning and charging network analytics. Mappls connects proprietary map and location intelligence with ev-aware routing, charger discovery/availability, range and energy estimation, battery/vehicle telemetry, trip planning and charging network 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
Trip energy · Charger network · Fleet charging · Demand planning
Decision and outcome
Higher trip completion and charger utilisation; fewer support incidents; improved fleet energy productivity and driver trust.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Head EV Product
Sponsor / owner
Charging Network
Manager / analyst
Mobility Product
Manager / analyst
CTO
Manager / analyst
COO
Operator / specialist
EV Business Head
Operator / specialist
Battery/BMS
Operator / specialist
Navigation
Operator / specialist
Charging Platform
Operator / specialist
Data
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
Standard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsGeo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product detailsRouting & Distance Matrix
Car, truck, two-wheeler, pedestrian and multimodal routes
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
City/intercity cohort with live charger feed, EV routing and predicted-vs-actual energy comparison.
- Confirm data, geography, users and workflow: What BMS/vehicle signals are available? Are charger status feeds live? Which routing and range KPIs define trust?
- Configure Mappls EV Mobility Cloud for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Charger match/availability quality; ETA/range error within agreed threshold; target trips completed; production data feeds agreed.
- Package production scope and commercial model: Per-vehicle/API subscription + platform licence + integration.
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