Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P28 · Implementation blueprint · Mappls Automotive Cockpit
Two-Wheeler Navigation & Digital Cockpit
Two-wheeler riders need glanceable, safe navigation and connected experiences within tight screen, compute and connectivity constraints.
01 · Target operating outcome
Define the change before choosing the technology
Can a rider complete the journey with fewer glances and fewer missed turns on your target roads?
Higher feature usage and product differentiation; lower rider distraction and support complaints; subscription/engagement potential.
Target
HMI performance and route quality accepted; missed-turn rate reduced; connectivity/offline behaviour passed.
02 · Solution architecture
One connected flow from source data to operational action
Turn-by-turn navigation, compact map/cluster HMI, phone projection, voice/haptic prompts, ride analytics, connected services and map updates. Mappls connects proprietary map and location intelligence with turn-by-turn navigation, compact map/cluster hmi, phone projection, voice/haptic prompts, ride analytics, connected services and map updates. 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 feature usage and product differentiation; lower rider distraction and support complaints; subscription/engagement potential.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Head Product
Sponsor / owner
Cluster/Connectivity
Manager / analyst
EV Programme
Manager / analyst
CTO
Manager / analyst
Business Unit Head
Operator / specialist
Cluster/TCU
Operator / specialist
Mobile App
Operator / specialist
HMI
Operator / specialist
Validation
Operator / specialist
OEM programme lead
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
Mappls Pin / Digital Address
Compact digital location identity and address workflows
Product detailsEmbedded IVI / Cluster Solutions
Map/navigation software and integrated hardware/MDU/cluster programmes
Product detailsNavigation SDK
Turn-by-turn navigation, rerouting, voice and guidance
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Target cluster/app integration with urban and intercity route set, rerouting and offline/degraded-network tests.
- Confirm data, geography, users and workflow: What display/compute constraints apply? How is phone connectivity handled? What rider KPIs and safety rules govern HMI?
- Configure Mappls Automotive Cockpit for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: HMI performance and route quality accepted; missed-turn rate reduced; connectivity/offline behaviour passed.
- Package production scope and commercial model: Per-vehicle royalty + NRE + update/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