StockSimulator: AI for Warehouse Optimization

AIMachine LearningAutomation

Innovative warehouse management system based on neural networks that reduced financial commitment by 70% and virtually eliminated stock breakages.

Discover our custom projects Let's talk about your project

StockSimulator: AI for Warehouse Optimization

The Challenge

A leading company in the technical gas machinery sector needed to optimize the management of its spare parts warehouse with over 36,000 items.

Reduce average warehouse stock
Avoid stock breakages
Manage a very large catalog of items
Need for accurate forecasts considering seasonality

The Solution

We developed StockSimulator, an innovative system that includes:

Neural network trained on 36 months of historical data
Sales forecasting system with seasonality analysis
Automatic calculation of minimum and maximum stock levels
Distributed processing on master-slave architecture

The Results

70%

Reduction in financial commitment

Stock breakages

10+

Years of continuous operation

Technical Details of the Solution

AI System

• Neural network for sales forecasting
• Seasonality and trend analysis
• Statistical Inventory Control (SIC) system
• Stock scenario simulation

Infrastructure

• Master-slave architecture
• 4 parallel processing servers
• Automated weekly processing
• Backup and recovery system

Advanced Features

• Automatic parameter adjustment
• Stock monitoring dashboard
• Preventive alerting system
• Weekly reporting

StockSimulator has revolutionized our warehouse management. In over ten years of use, the system has demonstrated exceptional reliability requiring minimal maintenance interventions and high Customer satisfaction in terms of On-Time Delivery

Client

Operations Manager Global Service Division

Do you have an idea, a project, a need for change?

Discover how we can help you achieve similar results with a customized solution for your company