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Logistics

Real-time tracking.
IoT at any scale.

IoT device management, real-time data pipelines, edge compute, and AI-powered route optimisation — all running on AWS infrastructure we design, build, and manage.

8 wk
Average go-live
10M+
IoT msgs/day
< 1s
Telemetry latency
24/7
Monitoring
Capabilities

Full visibility from origin to last mile.

01

IoT Device Management at Scale

AWS IoT Core for millions of connected devices — fleet trackers, warehouse sensors, cold-chain monitors. Device provisioning, OTA updates, and shadow state management. Handles 10M+ messages per day without batching.

02

Real-Time Data Pipelines

Kinesis Data Streams for sub-second telemetry ingestion, Kinesis Firehose for S3 archival, and Lambda for real-time alerting. Track every shipment, sensor reading, and exception as it happens.

03

Edge Compute with AWS Greengrass

Run ML inference and business logic at the edge — in warehouses, vehicles, and distribution centres — with or without internet connectivity. Sync to cloud when connected, operate autonomously when not.

04

AI-Powered Route Optimisation

SageMaker models trained on your historical delivery data. Dynamic re-routing based on traffic, weather, and capacity. Integrated with your TMS via API Gateway — no rip-and-replace required.

05

Supply Chain Visibility Platform

Amazon Location Service for real-time geofencing and tracking. EventBridge for exception-based alerting. QuickSight dashboards for operations teams. Full visibility from origin to last mile.

06

24/7 Monitoring & Incident Response

CloudWatch alarms, PagerDuty integration, and runbook automation. When a sensor goes offline or a shipment misses a checkpoint, your team knows in seconds — not hours.

Case Studies

Proven results for logistics companies.

CareCapture — Automated AWS Infrastructure

Built real-time data capture infrastructure for field operations. Fully automated, 8-week go-live, 24/7 monitoring.

Read case study →

Connect your fleet. Optimise your routes.

Book a free IoT assessment. We'll map your current data flows and show you what's possible on AWS.

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