QuickPick Remote Order Picking Technology
Go Remote to Improve Productivity with Less Effort
Crown’s exclusive QuickPick Remote boosts order-picking productivity by saving the operator up to five seconds per pick.
Optimise the Order Picking Process
Crown’s QuickPick Remote is a game-changing innovation in low-level order picking – a fast-paced, physically demanding job. The technology automates tasks that simplify workflow — saving time, reducing risk and increasing productivity.
In traditional order picking applications, operators constantly return to the compartment to move the truck forward. With QuickPick Remote, operators maintain a smooth workflow pattern, focusing less on positioning the truck and more on the task of picking.
Lessen operator fatigue
by eliminating steps in the picking process
Promote safety
by enabling operators to work from behind the truck
Help reduce damage
with steer correction and obstacle detection devices
Increase operator productivity
by picking more orders in less time
Revolutionise Your Workflow and Save Time
Increase operator productivity by leveraging a truck that allows the operator to maintain a consistent rhythm and pace, making the most of every second in the picking process.
A typical order picker steps on the operator platform approximately 1,200 times each shift. QuickPick Remote eliminates up to 70% of this activity. With the simple press of a button on the wireless remote, the order picker remotely advances the lift truck to the next pick location, allowing the operator to minimise steps and remain in the optimal pick position. At a 5 metre interpick distance, this can save up to five seconds per pick. Under certain conditions, at a pick rate of 100 picks per hour, one operator can generate as much as 14 percent time savings. Individual results may vary by location.
Award Winning Technology
Crown’s industry-leading task automation technology has been recognised around the world, with QuickPick Remote Order Picking Technology earning an International Forklift of the Year Award in 2014.