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Barcoding, Inc. Hosts Seminar on Returnable Container Visibility at Promat 2023
Rezul News/10621589
Barcoding will be hosting a seminar on returnable container visibility during Promat 2023
BALTIMORE - Rezul -- Barcoding, Inc., the leader in supply chain efficiency, accuracy, and connectivity, today announced that it will host a best practices seminar on returnable container visibility March 20th, 10:30am CST, as part of the 2023 Promat Show.
Subject matter experts JW Franz, IoT Director and Dan Blank, Director of Label and Printing Solutions for Barcoding, Inc. will be spearheading the presentation. While the seminar will be recorded, both experts will be taking questions live on March 20th during the show.
Returnable containers are a smart and sustainable way to move assets and products but can require extensive time and money if the proper standards and technologies aren't applied. As supply chain experts, Barcoding understands that keeping track of returnable containers and properly managing their pooling can be the difference between profit and loss.
"With today's demand for increased supply chain track and trace capabilities, it is critical to have enhanced visibility to those returnable containers transporting goods such as apparel, food items, automotive parts, pharmaceuticals and more. By using RAIN RFID and GS1 standards, unique container level visibility throughout the supply chain is now possible." JW Franz, IoT & Automation Solutions Director, Barcoding
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Dan and JW will showcase the use of RAIN RFID along with GS1 standards for data serialization and standards-based data to maximize investments in returnable containers regardless of industries. This will be a comprehensive approach to tracking and managing returnable containers, cartons, and pallets. All attendees will learn standardizing and serializing with the speakers emphasising their strategic partnership with GS1.
Some key takeaways from the presentation:
In addition to the seminar, Barcoding will be in booths S3362, S647 and N9229 to showcase their enterprise platform IntelliTrack® and Freddie, a small AGV (Automated Guided Vehicle) robot.
More on Rezul News
Admission to Promat is free. For more information and to register for this event and seminar, please visit https://www.promatshow.com/.
About Barcoding, Inc.
Barcoding is a supply chain automation and innovation company that helps organizations be more efficient, accurate and connected. With extensive subject matter expertise in data capture, labeling and printing, and mobile computing, we are trusted to build and manage solutions for some of the best IT and operations teams in the world. Founded in 1998, Barcoding is headquartered in Baltimore, Md., with offices across North America (Chicago, Houston, Seattle, Montreal, Toronto and Vancouver). For more information, visit www.barcoding.com.
Subject matter experts JW Franz, IoT Director and Dan Blank, Director of Label and Printing Solutions for Barcoding, Inc. will be spearheading the presentation. While the seminar will be recorded, both experts will be taking questions live on March 20th during the show.
Returnable containers are a smart and sustainable way to move assets and products but can require extensive time and money if the proper standards and technologies aren't applied. As supply chain experts, Barcoding understands that keeping track of returnable containers and properly managing their pooling can be the difference between profit and loss.
"With today's demand for increased supply chain track and trace capabilities, it is critical to have enhanced visibility to those returnable containers transporting goods such as apparel, food items, automotive parts, pharmaceuticals and more. By using RAIN RFID and GS1 standards, unique container level visibility throughout the supply chain is now possible." JW Franz, IoT & Automation Solutions Director, Barcoding
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Dan and JW will showcase the use of RAIN RFID along with GS1 standards for data serialization and standards-based data to maximize investments in returnable containers regardless of industries. This will be a comprehensive approach to tracking and managing returnable containers, cartons, and pallets. All attendees will learn standardizing and serializing with the speakers emphasising their strategic partnership with GS1.
Some key takeaways from the presentation:
- Why GS1 identification standards enable more efficient and accurate tracking of returnable containers by identifying, capturing, and sharing information
- The value of serialization for increased container level visibility
- How GS1 EPCIS 2.0 enables interoperability through standards-based data sharing
- How RFID solutions can be leveraged for real-time visibility, compliance, and accuracy
In addition to the seminar, Barcoding will be in booths S3362, S647 and N9229 to showcase their enterprise platform IntelliTrack® and Freddie, a small AGV (Automated Guided Vehicle) robot.
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- AZETHIO Launches Multi-Million Dollar User Protection Initiative Following Unprecedented Platform Growth
- Matecrypt Observes South American Cryptocurrency Adoption Surge Amid Economic Shifts
- Assent Uncovers Over 695 Unique PFAS Across Global Supply Chains as Regulations Increase
- Cryptocurrency Quarterly Trading Volume Surpasses $15 Trillion Record High as BrazilNex Acknowledges Industry 'Growing Pains' Amid Market Speculation
Admission to Promat is free. For more information and to register for this event and seminar, please visit https://www.promatshow.com/.
About Barcoding, Inc.
Barcoding is a supply chain automation and innovation company that helps organizations be more efficient, accurate and connected. With extensive subject matter expertise in data capture, labeling and printing, and mobile computing, we are trusted to build and manage solutions for some of the best IT and operations teams in the world. Founded in 1998, Barcoding is headquartered in Baltimore, Md., with offices across North America (Chicago, Houston, Seattle, Montreal, Toronto and Vancouver). For more information, visit www.barcoding.com.
Source: Barcoding Inc.
Filed Under: Technology
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