P35 · Implementation blueprint · Mappls Fleet Command

Asset, Container & Equipment Tracking

Non-powered and mobile assets are under-utilised, misplaced or maintained reactively because location and state are not visible.

01 · Target operating outcome

Define the change before choosing the technology

How many asset-hours are lost because equipment cannot be found, trusted or scheduled?

Higher asset turns and utilisation; lower loss, search time, rental leakage and unplanned downtime.

Baseline

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

Target

Location/event reliability, battery/installation feasibility and utilisation improvement accepted.

02 · Solution architecture

One connected flow from source data to operational action

Battery/solar trackers, BLE/RFID integration, geofences, utilisation, theft alerts, yard/terminal views, maintenance triggers and APIs. Mappls connects proprietary map and location intelligence with battery/solar trackers, ble/rfid integration, geofences, utilisation, theft alerts, yard/terminal views, maintenance triggers and apis. 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

Live command · Trips · Drivers · Vehicles · Costs

Decision and outcome

Higher asset turns and utilisation; lower loss, search time, rental leakage and unplanned downtime.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Asset Head

Sponsor / owner

Yard/Warehouse

Manager / analyst

Equipment Operations

Manager / analyst

COO

Manager / analyst

Plant/Project Director

Operator / specialist

IoT

Operator / specialist

Maintenance

Operator / specialist

Security

Operator / specialist

ERP

Operator / specialist

Fleet manager

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

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

Tracking, Geofence & Trip APIs

Live location, trips, geofences, events and playback

Product details

InTouch / Gtropy Fleet Platform

Tracking, trips, alerts, ETA, fleet and control tower

Product details

Survey, Integration & Managed Updates

Field survey, data creation, integration, migration, validation and O&M

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

Track a representative 25-100 asset cohort across yard, transit and job-site workflows.

  • Confirm data, geography, users and workflow: Which asset classes, environments and battery life? What events and ERP/EAM links are required?
  • Configure Mappls Fleet Command for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Location/event reliability, battery/installation feasibility and utilisation improvement accepted.
  • Package production scope and commercial model: Hardware + per-asset SaaS + installation/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