P61 · Representative solution case · Automotive / Consumer / Enterprise

AR/HUD, Immersive Navigation & Real-World Metaverse

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

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

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

Primary operating owner

Innovation; HMI; Digital Experience

Economic decision

CTO; Chief Product Officer

Technical influence

AR/HUD; 3D; Mobile/Embedded; HMI

Why action becomes urgent

Premium vehicle/device launch, innovation programme, training/field use case, metaverse/3D experience roadmap.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

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

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

AR turn guidance, HUD/helmet/glasses experiences, 3D/RealView maps, spatial anchors, immersive destination/training/field workflows.

  • One role-aware workspace in Mappls Navigation Lab
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

Innovation

Own and govern

HMI

Decide and coordinate

Digital Experience

Decide and coordinate

CTO

Decide and coordinate

Chief Product Officer

Execute and verify

AR/HUD

Execute and verify

3D

Execute and verify

Mobile/Embedded

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

What device/FOV/compute and positional accuracy apply? Which safety/HMI KPIs govern?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Navigation workspace.

03

Act through role workflows

Route lab, Guidance simulator, Traffic scenarios, Road-event replay give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

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

05

Scale and continuously improve

Operationalise the model through NRE + SDK/data licence + per-device royalty/subscription., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

Route lab · Guidance simulator · Traffic scenarios · Road-event replay

Outcome loop

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

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

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisLower cognitive load and task time; differentiated user experience; new engagement and premium feature opportunities.
Success criteriaAlignment/latency and task completion accepted; safety/HMI review passed; production roadmap agreed.

Bounded proof

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

  • Confirm the baseline and decision scope: What device/FOV/compute and positional accuracy apply? Which safety/HMI KPIs govern?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Alignment/latency and task completion accepted; safety/HMI review passed; production roadmap agreed.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put AR/HUD, Immersive Navigation & Real-World Metaverse into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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