P61 · Implementation blueprint · Mappls Navigation Lab

AR/HUD, Immersive Navigation & Real-World Metaverse

Users and operators need intuitive spatial guidance and context that conventional 2D interfaces cannot deliver.

01 · Target operating outcome

Define the change before choosing the technology

Which task becomes safer or faster when guidance appears in the user's real-world line of sight?

Lower cognitive load and task time; differentiated user experience; new engagement and premium feature opportunities.

Baseline

Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.

Target

Alignment/latency and task completion accepted; safety/HMI review passed; production roadmap agreed.

02 · Solution architecture

One connected flow from source data to operational action

AR turn guidance, HUD/helmet/glasses experiences, 3D/RealView maps, spatial anchors, immersive destination/training/field workflows. Mappls connects proprietary map and location intelligence with ar turn guidance, hud/helmet/glasses experiences, 3d/realview maps, spatial anchors, immersive destination/training/field workflows. 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

Lower cognitive load and task time; differentiated user experience; new engagement and premium feature opportunities.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Innovation

Sponsor / owner

HMI

Manager / analyst

Digital Experience

Manager / analyst

CTO

Manager / analyst

Chief Product Officer

Operator / specialist

AR/HUD

Operator / specialist

3D

Operator / specialist

Mobile/Embedded

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

Navigation SDK

Turn-by-turn navigation, rerouting, voice and guidance

Product details

mGIS Enterprise GIS

Web GIS, spatial database, role-based apps and workflows

Product details

Mappls Pro & Portal

Maps, navigation, traffic, RealView, discovery and safety

Product details

Standard 2D Map & Road Data

Road network, attributes, administrative boundaries and cartography

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

Prototype one bounded journey/workflow using target device and mapped environment.

  • Confirm data, geography, users and workflow: What device/FOV/compute and positional accuracy apply? Which safety/HMI KPIs govern?
  • Configure Mappls Navigation Lab for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Alignment/latency and task completion accepted; safety/HMI review passed; production roadmap agreed.
  • Package production scope and commercial model: NRE + SDK/data licence + per-device royalty/subscription.

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