Cubiscan
Is Cubiscan only for parcels?
No; the product line is used for SKU, parcel, and pallet dimensional data, including regular and irregular items, case packs, inner packs, and eaches.
What makes Cubiscan data useful in automation?
The device outputs structured dimensional data that can be stored and integrated into WMS/ERP/shipping systems, enabling automated decisions for slotting, pack-out, storage, and freight rating.
Where does Cubiscan fit in supply chain architecture?
It sits at the data-capture layer between physical receiving/shipping and enterprise software, feeding authoritative measurement data into downstream execution systems.
Cubiscan is a dimensioning and weighing system that captures accurate length, width, height, weight, and sometimes images of SKUs, parcels, pallets, and irregular items. It creates item master data pushed into WMS, ERP, OMS, TMS, or freight software via cloud or API, enabling slotting, rate shopping, packing, and shipping decisions from measured rather than estimated dimensions.
On a shop floor or warehouse receiving dock, an operator scans the SKU barcode, places the item or parcel on the Cubiscan, and captures its dimensions and weight. That measured record is tied to the barcode and stored in Qbit Cloud or Qbit DB for transfer to enterprise systems. This matters most for raw material tracking and inventory master data cleanup because irregular parts, apparel, eaches, and odd-shaped items can be measured at 1 mm increments. The resulting data drives slotting and put-away decisions, and later supports picking, packing, and fulfillment. In receiving, it prevents dimension drift from vendor master data that causes bad cartonization, incorrect storage assignments, and freight rating errors. In outbound operations, the same data improves load planning and rate shopping. The device integrates through an API or database endpoint into the WMS or ERP, sitting at the data-capture layer between physical operations and execution software.
Bad master data propagates: estimated SKU dimensions make the WMS assign wrong bin sizes, poor slotting, and miscalculate cube use. Receiving accepts supplier nominal carton sizes, but variance breaks put-away logic and triggers oversize exceptions.
Inaccurate freight rating and carrier selection: wrong parcel or pallet dimensions make shipping software undercharge or overcharge freight, dispatch may choose the wrong service or load plan. This surfaces as reweigh/reclass disputes and dock rework when cartons mismatch declared sizes.
Bottlenecked receiving and poor exception handling: manual measurement after put-away queues receiving for irregular inbound, and the warehouse loses trusted master data at receipt. This delays availability, distorts stock status, and causes picking errors.