On Tuesday 28 November 2017 Prime Vision won the prestigious Logistica Award for their much anticipated Autonomous Sorting solution. The prize is awarded bi-annually for the most innovative solution in the logistics sector.
Autonomous Sorting introduces the concept of self-organizing logistics: Mobile robots that sort parcels or roll containers autonomously. By utilising the latest robotic technology, combined with Prime Visions technical and industry know-how, parcel and logistics companies can momentarily turn empty warehouses into fully operational Sorting Centres. In the future, the robots will intelligently swarm together to carry larger parcels.
The prize was presented to Prime Vision Innovation Director, Bernd van Dijk, who after accepting on behalf of his Innovation Team said “We’re incredibly proud to win this award today. The team have worked tirelessly over the last year to develop the solution. And I think this award, and the recognition from such a respected and professional jury proves this.”
“To be honest, we didn’t expect to win the award as this product is for many companies, something for the future. But the rise of the smart robots is growing very fast. Winning today, will give us a lot of exposure and hopefully help us in the further development of the autonomous concept”.
“There are a few comparable concepts available in the market, but they all have fixed paths for the robots while Prime Vision’s robots work dynamically. Autonomous Sorting is incredibly convincing, and outlines the future for intelligent robotics in our industry.”
Autonomous Sorting had been developed to meet the challenges resulting from the fast-growing parcel volumes created by e-commerce. The first full-scale solution is scheduled to go live in mid-2018.
Four innovations were shortlisted for this year’s Logistica Award. The panel of experts led by prof.dr.ir. René de Koster, professor of logistics and operations management at the Department of Technology and Operations Management, Rotterdam School of Management, Erasmus University, considered both novel innovations and innovations to existing machinery. Entries were assessed for application value, the degree of innovation, economic importance, cost effectiveness and creativity.