Primary operating owner
Cold Chain Head; Fuel/Operations; Quality
P36 · Representative solution case · Cold Chain / Industrial / Fleet
Fuel, Temperature & Sensor Telemetry
Which product or fuel losses would have been preventable with a timely, location-aware alert?
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
Temperature, fuel, chamber and equipment conditions are not continuously evidenced, creating loss, fraud and compliance exposure.
Economic decision
COO; Quality Director
Technical influence
IoT/Sensors; Vehicle Engineering; ERP
Why action becomes urgent
Cold-chain audit, fuel variance, product loss, regulated distribution, tanker/chamber programme, quality escalation.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Temperature, fuel, chamber and equipment conditions are not continuously evidenced, creating loss, fraud and compliance exposure.
- Location, operational and enterprise data remain separated
- Stakeholders make inconsistent decisions from partial context
- Exceptions are found late and evidence is difficult to reconstruct
A governed location-aware decision loop
Temperature/humidity/fuel/door/chamber/CAN sensors, alerts, trip context, calibration, dashboards, APIs and audit reports.
- One role-aware workspace in Mappls Cold Chain Control
- 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
Cold Chain Head
Own and govern
Fuel/Operations
Decide and coordinate
Quality
Decide and coordinate
COO
Decide and coordinate
Quality Director
Execute and verify
IoT/Sensors
Execute and verify
Vehicle Engineering
Execute and verify
ERP
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
Frame the operating decision
Sensor ranges and calibration? Excursion rules? Who responds? What proof is needed for customers/regulators?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Cold Chain workspace.
Act through role workflows
Live condition, Excursions, Shipments, Compliance, Devices give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
Instrument representative vehicles/boxes/tanks and run live excursion and response workflow.
Scale and continuously improve
Operationalise the model through Hardware/sensor + per-asset SaaS + calibration/support., 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
Live condition · Excursions · Shipments · Compliance · Devices
Outcome loop
Sensor accuracy and data availability accepted; alert-to-action SLA met; loss/compliance case quantified.
Sensor Telemetry
Temperature, fuel, door, chamber, CAN and environment sensors
Product details2D/3D Digital Twin
Operational 2D/3D spatial layer linked to live and enterprise data
Product detailsInTouch / Gtropy Fleet Platform
Tracking, trips, alerts, ETA, fleet and control tower
Product detailsAsset & Personal Trackers
Battery/portable/asset location and alert devices
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
Instrument representative vehicles/boxes/tanks and run live excursion and response workflow.
- Confirm the baseline and decision scope: Sensor ranges and calibration? Excursion rules? Who responds? What proof is needed for customers/regulators?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Sensor accuracy and data availability accepted; alert-to-action SLA met; loss/compliance case quantified.
- 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 Fuel, Temperature & Sensor Telemetry into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.