Amsterdam Firm MOOS Revolutionizes Inventory Management with Affordable Technology
Amsterdam, Friday, 6 December 2024.
MOOS, based in Amsterdam, has developed a cost-effective, AI-driven system for automatic inventory monitoring, using innovative carbon-printed paper to precisely track stock levels and alert businesses.
Revolutionary Paper-Based Sensor Technology
The innovative system developed by MOOS utilizes specially designed paper embedded with carbon fibers in unique patterns that function as wireless sensors [1]. When objects are placed on this paper, the pressure creates specific electrical signals through contact points formed by the carbon fiber patterns [1]. These signals are then analyzed using Artificial Intelligence (AI) to accurately determine stock levels and trigger automated reordering notifications [1].
Cost-Effective Solution for Modern Inventory Challenges
According to MOOS co-founder Stijn Froeling, existing inventory management solutions can cost thousands of euros per square meter, making widespread implementation prohibitively expensive [1]. ‘Paper is extremely cost-effective,’ explains Froeling, highlighting how their solution combines affordable materials with precise sensor technology [1]. This innovation addresses a critical market need, as the adoption of AI and innovative technologies in supply chain management remains at a rudimentary stage for most companies [2].
Real-Time Monitoring and Automated Alerts
The system provides real-time monitoring capabilities, particularly valuable for managing unexpected situations such as equipment failures or sudden demand spikes [1]. It automatically notifies users when stock needs replenishment, adding an extra layer of inventory control [1]. This feature is especially significant given the current challenges in supply chain planning, which often involve managing complex end-to-end supply chain data [2].
Development Support and Future Expansion
MOOS has received substantial support for their innovation through two key programs. The company benefited from the WBSO scheme, which helped reduce research and development costs, and received funding through the MIT-AI program [1]. A pilot program with Fastned is currently in its final stages, with plans already in motion to expand the collaboration beyond the Netherlands [1].