In the fast-paced world of logistics, managing fleets and ensuring cargo integrity can be challenging. Our IoT solutions provide real-time insights that enhance efficiency and compliance.

Redifining Logistics through

IoT-Driven

Innovative Solutions

Connecting Every Mile with

Data-Driven Precision

E-commerce growth and evolving customer expectations have squeezed delivery windows while raising compliance and sustainability pressures.

Data-Driven Precision

oT-integrated warehouse using AGVs and sensor-based dock management.

Our logistics-optimised IoT fabric turns moving assets, warehouses, and last-mile links into a single, data-rich command centre that:

Transmits continuous GPS, temperature, humidity, and shock data from trailers and containers, alerting operators the instant cargo conditions drift from allowable thresholds.

Analyses driver behaviour, fuel burn, and idle time to recommend route, speed, and loading changes that cut emissions without delaying deliveries.

Synchronises real-time dock availability, automated guided vehicles (AGVs), and pick-pack robots so warehouse throughput rises while labour bottlenecks disappear.

Feeds customs, insurance, and customer portals with tamper-proof chain-of-custody data, slashing paperwork and accelerating cross-border clearance.

With these always-on insights, supply-chain leaders shift from firefighting delays to orchestrating proactive, exception-free logistics that delight customers and regulators alike.

Urban areas struggle with chronic congestion, high-energy street lighting, and declining air quality. IoT Shabaka deploys an integrated sensor-to-cloud architecture that synchronises traffic signals, dims or brightens LEDs in real time, and streams hyper-local environmental metrics. The platform ingests multi-source data, applies AI analytics, and issues automated control commands, creating a self-optimising urban fabric.

Solution Overview

Core Architecture & Components

Layer	Key Elements	Functionality

Impact Area	Metric	Global Benchmarks
O&M cost	▼ 40 % lighting maintenance via predictive alerts (Barcelona pilot)	Automated fault detection planned under TASMU Transport use-cases
Emissions	▼ 10-12 % CO₂ from reduced idling (Singapore GLIDE analysis)	Projected 5 % GDP-linked gain from smart-city efficiencies by 2022
Energy use	▼ 30 % lighting power cut after LED+IoT rollout (Barcelona)	Msheireb Downtown reports 30 % lower overall energy demand via 8 000 smart meters
Traffic flow	▲ 15-25 % faster average corridor speed (AI-signal coordination, Singapore)	ITS roadmap targets 20 % reduction in delays on Doha arterials (Ashghal)

Quantified Benefits

Strategic Adoption Roadmap

Deployment under this framework positions municipalities to exceed Qatar National Vision 2030 sustainability and mobility targets while delivering measurable economic return.

Align with National Platforms

Adopt Open Standards

Deploy ITS devices certified under Ashghal V&V guidelines to ensure interoperability and lifecycle security.

Prioritise high-congestion corridors for adaptive signal control, followed by district-wide smart lighting retrofits linked to demand-based dimming profiles.

Phased Roll-out

Enforce Qatar Cybersecurity Framework controls on all IoT endpoints; anonymise mobility data in accordance with Law (13) of 2016 on Personal Data Protection.

Data Governance

Structure energy-service agreements (ESPCs) that guarantee ≥25 % energy savings, financing CAPEX through realised utility reductions.

Performance Contracts

Integrate datasets through MCIT’s TASMU Smart Qatar backbone to leverage existing sector APIs and comply with ISO 37122 smart-city KPIs.