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Best Practice: AI-Powered Tool Increases Warehouse Efficiency at Fashion Company LPP

07 Feb 2024, Artificial Intelligence, Logistics, Transport

Experts at Accenture predict that artificial intelligence will increase efficiency in logistics by more than 40% by 2035. Experts from Polish team of PSI Logistics have deployed the Warehouse Intelligence project at the fashion market leader, LPP, which uses machine learning mechanisms to optimize logistics processes. The AI-based solution was integrated into PSIwms for LPP. The result: significantly shorter picking routes and overall more efficiency in warehouse processes.

Global-Metal-Market-Trends-PSI Metals

The Bigger Picture: Global Metals Market Trends and Outlook, 2023

15 Dec 2022, Artificial Intelligence, Technology, Sustainability, Energy

The metals industry has witnessed a rollercoaster year in 2022 with sudden increases and declines in prices and product demand. This was owing to several factors like inflation in the global economy, high-energy prices, increased interest rates, the US monetary tightening, China’s economic deceleration, the ripple effect of Russia’s invasion of Ukraine, supply chain constraint and low demand of metals products. These effects have continued towards the end of 2022. But what would the trend look like for the industry in 2023?

Digitalization Enables Decarbonization of Steel Production

28 Nov 2022, Production, Technology, Energy, Sustainability, Artificial Intelligence

Steel plant’s operations are complex because all production steps are interdependent. This makes it challenging to simultaneously optimize production processes, save energy and comply with COregulations while staying competitive with changing market demands. Steelmakers are investing in transformation to net-zero production, which needs to go hand-in-hand with process digitalization and innovating software systems for efficient production management of planning, scheduling and execution of processes.

Predictive Maintenance - Optimize Holistically with AI

22 Sep 2022, Artificial Intelligence, Production, Technology

Ensuring high plant availability and minimizing maintenance costs at the same time is a balancing act. The complexity of this area of tension grows with the size of the plant network and the resulting increase in the number of combined, in some cases contradictory, influencing factors. More and more companies are therefore turning to predictive asset management to analyze complex plant systems precisely and in real time and to operate them in an optimized manner.