Barcode scanners have been integral to inventory management and data capture for decades, revolutionizing industries worldwide. However, technology never stands still, and the future holds exciting possibilities for barcode scanning. read more
In today’s on-demand economy, manual and paper-based processes are the enemy of productivity and efficiency, especially in discrete manufacturing.
The Plex Manufacturing Cloud held its 18th annual user conference last week in Detroit, Michigan.
Digital technology is driving significant advances in label manufacturing. Today’s modern warehouses are smart, automated and efficient.
The warehouse is a crucial hub when it comes to order processing and fulfillment. Business around the country can no longer rely on a one-size-fits-all approach.
Integrating data is critical in today’s manufacturing environment. Traditionally, getting manufacturing data from the warehouse shop floor to top executives was a slow process, subject to human error and interpretation. In today’s word, real-time visibility is key to achieve operational excellence and is one of the biggest benefits manufacturing, logistics or warehousing companies receive from integrating their data.
The most competitive manufacturers, logistics, and warehousing companies operate with a continuous improvement mindset. However, maintaining a focus on future improvements can be difficult, especially as customers require around-the-clock attention and support.
When it comes to your manufacturing, logistics, or warehousing company’s next step — like implementing mobile scanners on your shop floor or automating a production process — you need to know the right questions to ask a prospective partner before you can have all the answers.
The need to migrate applications that support key business functions has never been more important. There are three primary reasons why:
For manufacturers, distributors and logistics professionals, the word “automation” is often thought of as a four-letter word. Coincidentally, the same train of thought applies to the cumbersome task of gathering and integrating your company’s data – when it’s done manually.
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