P36 · Implementation blueprint · Mappls Cold Chain Control

Fuel, Temperature & Sensor Telemetry

Temperature, fuel, chamber and equipment conditions are not continuously evidenced, creating loss, fraud and compliance exposure.

01 · Target operating outcome

Define the change before choosing the technology

Which product or fuel losses would have been preventable with a timely, location-aware alert?

Lower spoilage and fuel leakage; faster exception response; stronger compliance evidence and asset performance.

Baseline

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

Target

Sensor accuracy and data availability accepted; alert-to-action SLA met; loss/compliance case quantified.

02 · Solution architecture

One connected flow from source data to operational action

Temperature/humidity/fuel/door/chamber/CAN sensors, alerts, trip context, calibration, dashboards, APIs and audit reports. Mappls connects proprietary map and location intelligence with temperature/humidity/fuel/door/chamber/can sensors, alerts, trip context, calibration, dashboards, apis and audit reports. 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 condition · Excursions · Shipments · Compliance · Devices

Decision and outcome

Lower spoilage and fuel leakage; faster exception response; stronger compliance evidence and asset performance.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Cold Chain Head

Sponsor / owner

Fuel/Operations

Manager / analyst

Quality

Manager / analyst

COO

Manager / analyst

Quality Director

Operator / specialist

IoT/Sensors

Operator / specialist

Vehicle Engineering

Operator / specialist

ERP

Operator / specialist

Quality manager

Operator / specialist

Cold-chain controller

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

2D/3D Digital Twin

Operational 2D/3D spatial layer linked to live and enterprise data

Product details

InTouch / Gtropy Fleet Platform

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

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

Instrument representative vehicles/boxes/tanks and run live excursion and response workflow.

  • Confirm data, geography, users and workflow: Sensor ranges and calibration? Excursion rules? Who responds? What proof is needed for customers/regulators?
  • Configure Mappls Cold Chain Control for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Sensor accuracy and data availability accepted; alert-to-action SLA met; loss/compliance case quantified.
  • Package production scope and commercial model: Hardware/sensor + per-asset SaaS + calibration/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