AI-Powered Logistics Optimization & Automated Route Planning

Table of contents

• The Scope
• The Challenge
• The Solution
• The Outcome
• Key Takeaways

The Scope

ITP developed an AI-assisted solution to automate delivery route planning directly from ERP exports.
The goal was to help logistics teams generate optimized routes from existing Excel/CSV data, reduce manual planning effort, improve delivery efficiency, and create better visibility across logistics operations.

The Challenge

Manual route planning is often time-consuming and error-prone. 

Dispatchers need to clean delivery data, check addresses, plan routes, calculate mileage, and adjust schedules based on operational constraints. This takes time, creates dependency on individual planners, and often limits visibility into route efficiency.

As a result, companies face:

• Long planning cycles
• High manual workload for dispatchers
• Inefficient route decisions
• Unnecessary mileage and transport costs
• Limited visibility into optimization opportunities
• Data quality issues in delivery addresses and ERP exports

Even small inefficiencies translate into significant costs, and manual planning leaves little time for strategic improvements.

The Solution

ITP created a fully automated, end-to-end route planning pipeline that transforms ERP exports into optimized delivery routes.

The solution includes:

1. ERP-native input: Routes generated directly from Excel/CSV exports.
2. Three-stage pipeline: Data validation and cleansing → Geocoding (address-to-coordinates) → Route optimization
3. Operational UI: A dispatcher-friendly interface supports day-to-day planning and monitoring.

The system produces structured outputs with optimized routes and mileage calculations, ready for operational use., while providing clear insights into optimization levers for continuous improvement.

The Outcome

The solution was validated on real operational data and delivered tangible results:

• 6% reduction in total mileage 
• ~2,560 km saved compared to manual planning
• < 6 minutes total planning time for the full dataset
• Faster, reproducible route generation for daily operations

Key Takeaways

• AI can turn ERP exports into optimized delivery routes in minutes.
• Even first-pass automation can create measurable mileage reduction.
• Dispatchers spend less time on manual planning and more time managing exceptions.
• Better data validation and geocoding improve visibility and planning accuracy.
• The solution creates a scalable base for deeper optimization across logistics operations.

Need help optimizing your logistics operations?
Book a discovery call to see how this AI-powered route planning solution can reduce mileage, accelerate planning, and drive measurable cost savings.