Logistics & Supply ChainAI & LLM Integration

500K daily events processed, 40% reduction in delivery exceptions

IndustryLogistics / 3PL

Team9 engineers

Timeline16 weeks

The Challenge

A regional 3PL operator managing 8,000+ active shipments daily had no real-time visibility into delivery exceptions until customers complained. Their legacy tracking system polled carrier APIs every 6 hours, resulting in 14–18 hour delays in exception detection. Missed delivery exceptions cost £2.1M annually in SLA penalties and customer churn.

The Solution

TECHTIMIZE built a real-time event streaming platform on AWS Kinesis ingesting 500K+ tracking events daily from 12 carrier APIs. A scikit-learn gradient-boosting model (deployed on SageMaker) predicts delivery exceptions 6–12 hours in advance based on weather, route, carrier performance, and historical delivery patterns. An operations dashboard built in React gives dispatchers real-time exception alerts with AI-generated resolution recommendations.

Technology Stack

Node.jsReactMongoDBAWS KinesisPythonscikit-learnAWS SageMakerKafka

Results

Exception Detection

Predictive ML surfaces exceptions 6–12 hours before they become SLA breaches

Delivery Exceptions

Proactive intervention reduced delivery exception rate by 40%

SLA Penalty Savings

Annual SLA penalty savings attributed to early exception intervention

Events Processed

Daily tracking events ingested and enriched in real-time

How We Delivered It

Carrier API Integration

Built adapters for 12 carrier tracking APIs (REST and SOAP) normalising events into a unified schema.

Kinesis Streaming Pipeline

Deployed AWS Kinesis Data Streams with Lambda consumers for real-time event ingestion, deduplication, and enrichment.

ML Exception Prediction Model

Trained scikit-learn GBM on 18 months of historical delivery data. Achieved AUC-ROC of 0.91 on held-out test set.

SageMaker Model Deployment

Deployed model to SageMaker endpoint with auto-scaling. Real-time inference on every new tracking event.

Operations Dashboard

Built React dashboard with real-time WebSocket updates, exception priority queue, and AI resolution recommendation panel.

Carrier Coverage Expansion

Post-launch expanded carrier coverage from 12 to 19 carriers using the standardised adapter framework.

"The AI exception prediction has changed how our operations team works. We fix problems before customers know they exist. Our SLA performance is the best it has ever been."
VP Operations
Regional 3PL Operator

Back to Case Studies

Ready for Similar Results?

Let's talk about your challenge. Our team delivers measurable outcomes fast.

Start a Project →More Case Studies