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How AI is Changing the Future of Supply Chain Costs

Little has the potential to power cost-cutting innovations quite like artificial intelligence technology. These tools applied to supply chain management can streamline processes and improve the safety and efficiency of the companies that employ them.   McKinsey reported that the majority of surveyed businesses experienced higher revenues through AI adoption, with 44% claiming cost reductions. For supply chains, the rate of cost reduction is even greater.   AI brings efficiency through big data analytics and performance insights on an unprecedented scale. With this power, AI is advancing supply chains for a cleaner, more cost-effective future. Preparing for this future starts with understanding AI implementation in the present.

KiloVault Unveils XLC Advanced Lead Carbon Deep Cycle Battery

Designed with versatility in mind, the XLC provides flexible and reliable storage for Smart Grids, Hybrid Power Supply Systems, Street Lamp Power Systems, and Micro Grids. The XLC offers the same worry-free function as KiloVault s PLC 2100 battery, but is designed to handle greater energy demands with 1,000 Amp-hours of energy storage. Our customers were looking for an AGM option for high-capacity energy demands at an affordable price that was designed for longer life, says Product Manager Andrea Belford. Most of the system requests were for 48V applications. 24 XLC s would have a useable capacity of about 25 kWh, which is ideal for the most demanding energy needs, especially during an outage or emergency backup situation.

Top Five Reasons to attend Unmanned Maritime Systems Technology Conference Released

New White Paper Describes How to Assess Small-Part Inspection Applications for Automation

Manufacturers producing precision components often need to make caliper measurements of the parts for QC and process control - a boring and repetitive process that is a prime candidate for automation, said Stefan Friedrich, specialist at New Scale Robotics. This white paper helps manufacturers assess whether their specific parts and processes are suited for automation using a Q-Span Workstation Kit. Collaborative robots (cobots) make automation feasible for small-batch, high-mix manufacturers. Unlike hard-tooled industrial robots, cobots are deployed quickly at relatively low cost, operate near human workers, and can be easily moved from task to task. Q-Span Workstation Kits work with cobots from Universal Robots (UR) to automatically measure small parts and record the data for statistical analysis. They combine this measurement with part handing (pick and place) to remove most of the labor from the process. The Q-Span Workstation can sort parts or alert operators to process

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