Smart warehouses: how AI is changing the game

In recent years, warehouse management has undergone a radical transformation. With rising customer expectations and a growing shortage of skilled labor, companies must rethink their logistics strategies. Artificial Intelligence (AI) is emerging as the key to improving efficiency, accuracy, and return on investment.

In our white paper, we delve into the role of AI in optimizing warehouse logistics.
Download it 👇 to discover the full potential of AI in warehouse management.

Many warehouses are not operating at their full potential. The main obstacles include:
– order fulfillment errors, leading to delays and customer dissatisfaction;
– lack of skilled labor, resulting in higher costs and reduced operational flexibility;
– underutilized automated systems, often due to suboptimal configurations or ineffective manual management.

How can these challenges be addressed? AI provides advanced tools to enhance order management, reduce waste, and fully leverage existing warehouse technologies.

Artificial Intelligence enables faster and more accurate decision-making through advanced tools such as:
– predictive demand analysis, reducing overstock and stockouts;
– warehouse space optimization and load optimization, improving product placement for more efficient management and transportation;
– computer vision for label reading, minimizing shipping and storage errors;
– advanced chatbots for fast and efficient document management.

To tackle logistics challenges, Orobix has developed three advanced AI solutions:
– Mag.o: Optimizes order management and picking in automated warehouses.
– AI-go: Automates label reading and improves load handling.
– Worker++: Simplifies document management and enhances communication between departments.

These technologies not only improve operational efficiency but also deliver tangible ROI. Find out how they can make a difference in our white paper!

We had the opportunity to apply our AI technologies to real-world challenges faced by our clients, tackling concrete issues in warehouse logistics. Here are two examples of how our artificial intelligence solutions have improved operational efficiency:

– Optimization of intralogistics flows: An advanced AI system designed to analyze and standardize movement flows in industrial warehouses, optimizing the arrangement of goods in transport vehicles and storage areas.
– Label control in steel mills:
A vision system powered by AI-go that automates label recognition, reducing picking times and increasing accuracy in tracking semi-finished products.

Adopting AI solutions in logistics is becoming essential to stay competitive. We expect AI to continue evolving in the coming years, further enhancing predictive order management, resource optimization, and operational sustainability.

Want to stay ahead? Learn how to implement these solutions in your business! 📩 Contact us for a demo or a free consultation: info@orobix.com