Artificial intelligence for logistics
How to overcome inefficiencies into competitive advantages with AI and advanced technology
The problem
Analysis of 180+ Italian logistics centers reveals that 58% of operations run at less than 25% of their potential due to non-optimized processes and a lack of digitalization (source: Contract Logistics Observatory 'Gino Marchet'). The transition to Logistics 4.0 / 5.0 requires a targeted and guaranteed approach that avoids even temporary operational blocks.
The most recent and common challenges in the sector:
- Inefficiency in last-mile management: a 65% increase in delivery costs over the past two years, directly impacting operating margins by 20-30%,
- Limited supply chain visibility: traditional systems provide real-time tracking for only 45-55% of shipments, resulting in uncertainty in delivery times,
- Inventory optimization: stock-outs (out-of-stock goods) impacting revenue by 12-18% and overstock (excess inventory) increasing costs by 25%,
- Increasing complexity of e-Commerce: fragmented channel management reduces operational efficiency by 35% and increases management costs by 40%.

The solution
We implement a system that transforms the distribution ecosystem into a data-driven environment, where every movement is optimized.
The integrated technology stack we have developed:
- Route Optimization Engine: AI algorithms that optimize routes in real time, reducing transportation costs by 28% and improving delivery punctuality by 45%,
- Intelligent Inventory System: ML-based demand forecasting with >92% accuracy, reducing stock-outs by 35% and warehouse costs by 25%,
- Smart Warehouse Automations: an integrated system of robotics and AI that increases picking productivity by 60%,
- Supply Chain Control: an end-to-end predictive dashboard that ensures complete visibility across the logistics chain, reducing response times to unforeseen events by 65%.
The distinctive enterprise-ready methodological approach allows integration with existing systems (WMS, TMS, ERP...) and verified scalability across networks.
Use cases

Automation of workflow in the logistics sector
Discover the Cloud solution, integrated with AI, that enabled the automation of the logistics department workflow of an e-commerce, supporting the company's growth process.

Anomaly detection for workplace safety
Discover how our partner company improved its safety controls thanks to Anomaly Detection algorithms integrated with computer vision functions.

Automation of workflow in the logistics sector
Discover the Cloud solution, integrated with AI, that enabled the automation of the logistics department workflow of an e-commerce, supporting the company's growth process.

Anomaly detection for workplace safety
Discover how our partner company improved its safety controls thanks to Anomaly Detection algorithms integrated with computer vision functions.
