Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P30 · Implementation blueprint · Mappls Navigation Lab
Shared Mobility, Ride-Hailing & MaaS
Poor pickup precision, dispatch, ETA and multimodal planning create cancellations, idle time and weak marketplace liquidity.
01 · Target operating outcome
Define the change before choosing the technology
How many trips fail before movement because rider and driver do not share the same precise pickup point?
Higher completed trips; lower pickup/cancellation time; better driver utilisation and marketplace conversion.
Target
Pickup match and ETA accuracy improve; cancellations/dead km reduce; API reliability meets production SLA.
02 · Solution architecture
One connected flow from source data to operational action
Maps/search, pickup-drop pinning, geocoding, dispatch, routing/ETA, driver navigation, geofencing, transit and mobility analytics. Mappls connects proprietary map and location intelligence with maps/search, pickup-drop pinning, geocoding, dispatch, routing/eta, driver navigation, geofencing, transit and mobility 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
Route lab · Guidance simulator · Traffic scenarios · Road-event replay
Decision and outcome
Higher completed trips; lower pickup/cancellation time; better driver utilisation and marketplace conversion.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Head Product
Sponsor / owner
Marketplace
Manager / analyst
City Operations
Manager / analyst
CEO/COO
Manager / analyst
Chief Product Officer
Operator / specialist
Maps/Dispatch Engineering
Operator / specialist
Data Science
Operator / specialist
Driver Ops
Operator / specialist
Product manager
Operator / specialist
Navigation engineer
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
NCASE Automotive Suite
Navigation, Connected, ADAS, Shared and Electric mobility capabilities
Product detailsSearch, Autosuggest & Places
Local search, POIs, autosuggest and place details
Product detailsStandard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product detailsGeocoding & Reverse Geocoding
Address-to-coordinate and coordinate-to-address
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
One-city live cohort with pickup pin, dispatch/ETA and driver navigation A/B measurement.
- Confirm data, geography, users and workflow: What are pickup ETA error, cancellation and dead-km baselines? Which city/vehicle modes matter?
- Configure Mappls Navigation Lab for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Pickup match and ETA accuracy improve; cancellations/dead km reduce; API reliability meets production SLA.
- Package production scope and commercial model: API/transaction tiers + navigation licence + fleet SaaS.
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