Warehouse workers need to conduct dozens to hundreds of bin-picking steps per hour - and typically only runs with 95-98% accuaracy - which turns the seemingly low 2-5% rate into hundreds of $Billions in total potential reduction of logistics costs.

Example warehouse: when a warehouse receives a shipment which are normally boxes full of items loaded onto pallets, the first registration occurs when the pallets are stored in the storage bins to log its presence and location into the inventory management system. The next registration re-occurs when boxes or individual items are taken out of storage bin and also when they are reformed into different combination of items into boxes for shipment. Workers visually inspect product quality and quantity throughout the entire process while manually logging their work into the system. Errors associated with these human-assisted tasks can account for up to 5 percent of inventory inaccuracy downstream of the process, resulting in penalties and wasted costs.  

Asynos Solution Elements: We are tackling this issue with holistic automization approach from the 1-Cent label that connects the digital twin of every asset in the warehouse with a platform that makes the bin-picking process digitally driven by sensor- and single-uint ERP information.