Logistics & IoT case study

Fleet Maintenance System

Predictive maintenance and inventory system integrated with SAP ERP to keep heavy fleets moving.

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Client contextLogistics & IoT
Current phaseScaling
Core stack.NET Core / SAP Integration / SQL Server
Project visual Logistics & IoT

System overview

Built around SAP Integration for Logistics & IoT delivery.

System shape

SAP Integration

Real-time — SAP inventory sync

Build snapshot

Fleet Maintenance System, by the numbers

Delivery state, business context and the outcome this system was built to move.

Timeline Q1 2023
Phase Scaling
Sector Logistics
SAP inventory sync Real-time
From pressure to system

What had to change for Logistics & IoT

The narrative is simple: identify the operational drag, then design a system that removes fragility without adding more process theatre.

Challenge

The pressure we inherited

Managing a fleet of heavy vehicles requires precise coordination between mechanics, parts inventory, and operations. Relying on paper forms or disconnected systems resulted in downtime, correct parts being unavailable, and sync errors with the main SAP ERP.

Solution

The operating model we shipped

We developed a Progressive Web App (PWA) that mechanics use on tablets. It functions offline and syncs automatically when connectivity returns. It tracks work orders, scans parts barcodes to deduct from SAP inventory in real-time, and predicts maintenance based on mileage.

Built into the system

The capabilities behind Fleet Maintenance System

The specific controls, workflows and integration moves that made the delivery work.

SAP Sync

Bidirectional synchronization with SAP ERP for inventory and asset management.

Offline First

Mechanics can work in remote areas without internet; data syncs when back online.

Predictive

Algorithms analyze vehicle usage to schedule maintenance before breakdowns occur.

Scanning

Camera integration for barcode scanning of parts, reducing manual entry errors.

Impact and evolution

What changed after Fleet Maintenance System shipped

The strongest case studies are not only about shipping. They show measurable operational movement and a platform shape that can keep compounding value after launch.

Outcomes

What improved after delivery

Fleet Maintenance System created clearer control over execution, speed and visibility for the client team operating it.

  • Reduced vehicle downtime by proactive maintenance scheduling.
  • Real-time inventory accuracy with SAP sync.
  • Eliminated paper-based work orders.
Stack and next move

How the platform is set up to evolve

The implementation leans on production-ready components that fit Logistics & IoT requirements without overbuilding the system.

.NET Core SAP Integration SQL Server Azure PWA
Next move

IoT sensor integration for real-time telemetry and diagnostics.

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Next step

Need this level of delivery for your own operating problem?

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