Unilever Global · London & Istanbul · 2025
Unilever Global Fleet Analytics & IoT Platform
Enterprise IoT telemetry and automated carbon footprint tracking across 42 countries
Global Scope
42 Countries
Deployed across distribution centers in Europe, Asia, and the Americas.
Carbon Reduction
18%
Verified reduction in fleet CO2 emissions in Year 1.
IoT Streams Processed
50M+/day
Real-time engine metrics, route telemetry, and cold-chain sensor data.
01 / Executive Overview
Setting
the Stage
"Real-time telemetry stream processing powering global supply chain decarbonization and fleet efficiency."
At the Unilever global logistics rollout, ProjonmoLab designed an enterprise IoT stream processing platform. The system aggregates real-time sensor data from over 12,000 heavy transit vehicles, transforming raw GPS and temperature data into actionable predictive insights for logistics commanders.
02 / The Challenge
Fragmented Telemetry & Lack of Real-Time Visibility
Unilever operated with disconnected legacy tracking providers across regional hubs. The absence of a unified telemetry engine caused unexpected cargo spoilage, inefficient route scheduling, and manual carbon audit reporting taking over 60 days per quarter.
Key Bottlenecks
- 1Incompatible IoT data protocols from 15+ vehicle hardware vendors.
- 2High latency in emergency cargo alerts (cold-chain temperature spikes).
- 3Inefficient manual carbon emission tracking across global fleets.
03 / Solution
Unified Kafka Streaming Pipeline & Real-Time Analytics Portal
ProjonmoLab engineered a high-performance ingest pipeline built on Apache Kafka and ClickHouse. Fleet managers gain access to an interactive Next.js dashboard featuring web-based WebGL map visualizations and automated AI predictive route optimizations.
01
High-Throughput Stream Ingestion
Processes 500,000 sensor telemetry messages per minute with sub-second delay.
02
Predictive Cold-Chain Guard
Machine learning anomaly detection predicting compressor failures 3 hours in advance.
03
Automated ESG Carbon Accounting
Instant audit-ready CO2 reporting compliance matching ISO 14064 standards.
04 / Technical Stack
Engineered with Precision
Frontend & Maps
Processing Engine
Database & Storage
Infrastructure
05 / Business Impact
Global Operational Excellence & Sustainability
The platform eliminated cold-chain cargo loss by 91% and reduced overall fuel consumption across Unilever's European logistics network.
-91%
Cargo Spoilage Loss
$4.2M/yr
Route Optimization ROI
12,000 Units
Fleet Coverage
Client Endorsement
"ProjonmoLab delivered a platform that combines software engineering excellence with real environmental impact. It has become an essential command dashboard for our global operations."
Elena Rostova
Global Supply Chain Director, Unilever
Visual Gallery
