Scandit Report Reveals How Post and Parcel Providers Can Use Mobile Computer Vision with Augmented Reality to Meet Growing Demands
Mobile computer vision-enabled smart devices help Post and Parcel enterprises cut costs and increase efficiency
San Francisco, CA and Zurich, Switzerland – June 26, 2018 – Scandit, the leading developer of next-generation data capture technology enabled by mobile computer vision, augmented reality and machine learning, has released a point-of-view white paper, “Mobile Computer Vision in the Post and Parcel Industry,” that reveals how Post and Parcel providers can scan barcodes and text with smart devices to keep up with increased parcel volume and customer expectations.
According to the Pitney Bowes Parcel Shipping Index 2017, global parcel volume grew 48% from $44 billion in 2014 to $65 billion in 2016 and is expected to grow 17-28% per year through 2021. Additionally, a March 2018 poll of US consumers conducted by Dropoff found that 99% of respondents say fast delivery is important to them. These factors—combined with an ongoing driver shortage—make it clear that something has to change for Post and Parcel providers to be able to keep up with increasing demands on the quantity and quality of deliveries.
The white paper provides in-depth insight into how Post and Parcel organizations can use mobile computer vision-enabled data capture and augmented reality solutions running on smart devices to increase the capabilities of existing barcodes in ways that dedicated scanners cannot. The resulting benefits include reduced costs, increased efficiency and fewer human errors, the ability to meet growing end-user demands, and the protection of your investment. Examples are shown for how this can be possible in the distribution center, at the point of delivery, and at pickup and dropoff (PUDO) locations.
By using mobile computer vision with augmented reality, Post and Parcel providers can read multiple barcodes in a single scan and then have a specific package or packages with special real-time instructions highlighted on the screen. This is not possible with the traditional dedicated scanners currently in use in most Post and Parcel enterprises today.
“Post and Parcel enterprises can’t expect to use the same old technology and workflows and be successful in this explosive age of e-commerce,” said Samuel Mueller, CEO of Scandit. “The powerful thing about mobile computer vision-enabled smart devices is that they empower Post and Parcel providers to take the barcode that’s already on every package and turn it into a tool that saves them money and supercharges their performance and efficiency. Our new point-of-view white paper explains how to make this happen.”
– Download the point-of-view white paper (Mobile Computer Vision in the Post and Parcel Industry): https://www.scandit.com/post-and-parcel/
– Learn more about Scandit’s logistics solutions: https://www.scandit.com/industries/logistics/
– See Scandit’s augmented reality scanning in action: https://www.scandit.com/resources/videos/post-and-parcel-industry-innovations/
– Learn more about Scandit: https://www.scandit.com
At Scandit, we are helping business users and consumers to augment the physical world with relevant digital information in real time through barcodes, images and other visual identifiers captured with smart devices such as smartphones, wearables, drones, and robots.
With our next-generation mobile data capture platform built on proprietary computer vision, machine learning and augmented reality, we enable businesses to unlock previously unavailable levels of insights into enterprise processes and workflows, resulting in more efficient decisions, more effective employees, lower cost and more satisfied customers and clients.
Don’t just take our word for it. Many of the world’s most innovative and successful companies are already reaping the benefits of Scandit’s next-generation mobile data capture platform. Our clients include Ahold, dm, Coop, Macys, Louis Vuitton, DHL, Cardinal Health, NASA and Verizon Wireless.
For more information visit https://www.scandit.com.