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Logistics ยท AI / ML Solutions

Predictive Logistics Platform Reduced Delivery Delays by 43%

๐Ÿข LogiFlow ๐Ÿ“ New York โฑ 14 weeks ๐Ÿ‘ฅ 4 engineers
43%
Fewer Delivery Delays
87%
Prediction Accuracy
28%
Increase in Contract Retention

The Challenge

LogiFlow was losing contracts due to unpredictable delivery performance. Their operations team had zero visibility into which shipments were at risk until delays had already occurred. Customer satisfaction scores were falling and three major accounts had threatened to leave.

Our Solution

We built a predictive delay detection system ingesting real-time weather, traffic, carrier performance, and historical shipment data to forecast delays 6โ€“12 hours in advance with 87% accuracy. A React-based operations dashboard provides instant visibility with color-coded risk scores, automated customer notification triggers, and one-click intervention workflows.

PythonXGBoostReactFastAPIPostgreSQLGoogle Maps API

Results Delivered

Delivery delays dropped 43% in the first 90 days. All three at-risk accounts renewed, and contract retention improved 28%. The operations team now intervenes proactively on 340 shipments per month that would have otherwise arrived late.

"We went from being reactive to proactive overnight. Our clients noticed the difference immediately โ€” and started giving us more business."

TN
Thomas Nguyen
COO, LogiFlow

Project Details

A snapshot of this engagement

ClientLogiFlow
IndustryLogistics
ServiceAI / ML Solutions
Duration14 weeks
Team Size4 engineers
LocationNew York
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Key Results
Fewer Delivery Delays43%
Prediction Accuracy87%
Increase in Contract Retention28%

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