Case Study

Automated Order Routing That Reduced Fulfillment Errors by 70%

We built an AI-powered order routing system that automatically classifies incoming orders, selects the optimal warehouse and shipping method and generates documentation — cutting fulfillment errors by 70% and reducing average processing time from 12 minutes to under 2.

Industry
Logistics
Timeline
4 weeks
Year
2025
OpenAI APIn8nPostgreSQLREST APIs

Intelligent Order Classification

AI-powered categorization of incoming orders by priority, product requirements and regulatory constraints.

Optimal Warehouse Selection

Algorithm that factors inventory levels, proximity to destination, carrier rates and delivery SLAs to pick the best fulfillment center.

Automated Documentation

Auto-generation of shipping labels, packing slips, customs forms and proof-of-delivery documents.

Error Monitoring & Alerts

Real-time monitoring of routing decisions with automatic escalation when confidence scores drop below threshold.