P48 · Implementation blueprint · Mappls Journey Risk Centre

Oil & Gas Distribution, Pipeline & Journey Risk

Tankers, chambers, routes, pipelines, depots and field assets carry safety, theft, loss and compliance risk across fragmented systems.

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01 · Target operating outcome

Define the change before choosing the technology

Which journey, chamber or asset exceptions create the largest safety and product-loss exposure today?

Lower diversion/theft/product loss and incidents; faster exception response; auditable transport and asset compliance.

Baseline

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

Target

Data/sensor accuracy accepted; exception response and loss/safety KPI improve; regulatory reporting proven.

02 · Solution architecture

One connected flow from source data to operational action

CVTMS/chamber monitoring, VTS, journey risk, geofences, route/toll, video, fuel/door sensors, pipeline/asset GIS, drones and control centre. Mappls connects proprietary map and location intelligence with cvtms/chamber monitoring, vts, journey risk, geofences, route/toll, video, fuel/door sensors, pipeline/asset gis, drones and control centre. 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

Risk library · Route assessment · Driver navigation · Adherence · After action

Decision and outcome

Lower diversion/theft/product loss and incidents; faster exception response; auditable transport and asset compliance.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Retail/Distribution

Sponsor / owner

Pipeline

Manager / analyst

Transport Safety

Manager / analyst

COO

Manager / analyst

Director Marketing/Pipelines

Operator / specialist

HSE

Operator / specialist

Fleet

Operator / specialist

Terminal Operations

Operator / specialist

HSEQ head

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

Sensor Telemetry

Temperature, fuel, door, chamber, CAN and environment sensors

Product details

Tracking, Geofence & Trip APIs

Live location, trips, geofences, events and playback

Product details

Dashcam / Video Telematics

AI video, ADAS/DMS events and evidence

Product details

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

Representative depot/route/fleet pilot with chamber, route and journey-risk alerts plus response workflow.

Confirm data, geography, users and workflow: What tanker/chamber/pipeline assets, routes and sensor feeds exist? Who closes exceptions and within what SLA?
Configure Mappls Journey Risk Centre for the selected role set
Run baseline and intervention scenarios with real stakeholder reviews
Evaluate agreed criteria: Data/sensor accuracy accepted; exception response and loss/safety KPI improve; regulatory reporting proven.
Package production scope and commercial model: Hardware/sensors + per-vehicle/asset SaaS + GIS/integration/O&M.

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