Predictive Supply Chain Engine
A real-time command center utilizing time-series forecasting to predict inventory bottlenecks and optimize delivery routes dynamically.
Category
Logistics & Predictive Analytics
Tech Stack
React, TypeScript, Python, PostgreSQL, Tailwind CSS
Primary Impact
Reduced inventory holding costs and improved on-time delivery rates.
The Challenge
A regional logistics firm needed to transition from static spreadsheet reporting to a real-time command center capable of forecasting inventory bottlenecks and optimizing delivery routes based on live traffic data.
The Solution
We engineered a full-stack dashboard leveraging a Python-based microservice architecture for heavy geospatial data processing. A deployed time-series forecasting model enabled predictive inventory monitoring, while the frontend utilized fast server rendering and WebSockets for live telemetry updates from active delivery fleets.
The Impact
The platform successfully reduced inventory holding costs by identifying overstock scenarios earlier and improved on-time delivery rates during peak operational hours within the first quarter of deployment.