Overview
A 500+ employee logistics company faced the classic industry problem: orders pouring in from multiple channels, with staff manually classifying, routing, and processing each order — thousands of repetitive actions every day. High error rates, slow processing, and employees burned out on work that creates no real value.
Ventra Rocket deployed an AI workflow automation system that integrates directly with the client's existing ERP (SAP/Oracle) — no infrastructure changes required, no migration, no downtime.
Challenge
The company's ERP had been running for 7 years with hundreds of customizations. Full replacement was impractical — the migration cost and operational disruption risk were too high. The solution needed to work on top of the existing ERP, not replace it.
Orders arrived from multiple sources with different data structures: email text, Excel files, partner APIs, and manual entry from the call center. The AI needed to understand and normalize all these sources.
Solution
LangChain orchestrates a pipeline of specialized LLM agents — one agent reads and normalizes orders (regardless of source), one classifies priority and shipping routes, one checks real-time inventory.
A FastAPI middleware layer sits between the AI engine and SAP/Oracle, using SAP RFC and Oracle DB connectors. All existing ERP business logic is preserved — AI automates the decisions instead of having staff do it manually.
A time-series model (Prophet + LightGBM) analyzes order history, seasonality, and ordering signals to forecast warehouse demand 7–14 days ahead.
Key Features
- Automated Order Classification: Reads orders from email, Excel, APIs — normalizes and routes to the correct channel with 97% accuracy.
- Intelligent Routing: AI suggests optimal shipping routes by cost, time, vehicle capacity, and real-world conditions.
- Real-time Inventory Forecasting: Dashboard shows 14-day demand forecast with early alerts on stock-out risk.
- Seamless ERP Integration: Zero changes to existing SAP/Oracle code.
- Operations Dashboard: Real-time visibility into the full order pipeline — SLA tracking at every step.
Results
After 3 months of deployment:
- -70% Order Processing Time: From average 45 min/order down to 13 minutes.
- +45% Staff Productivity: Order processing team reduced from 8 to 5 people for the same volume.
- -23% Shipping Costs: AI routing optimized load consolidation and routes.
- 97% Classification Accuracy: Significantly reduced misrouted orders causing delays.
Technology
Python + LangChain for AI pipeline. FastAPI middleware connecting AI to ERP. SAP RFC and Oracle DB connectors. Prophet + LightGBM for time-series forecasting. Redis caching. PostgreSQL audit log.