QbitAI reports that Geek+ has made round-the-clock autonomous warehouses a next-stage objective, shifting the focus from individual automated tasks to coordinating operations across an entire site.
The plan sets out three workstreams: extend embodied AI to complex warehouse tasks, let AI detect problems and adjust operations, and scale through global delivery with local operations. These are strategic goals, not evidence that warehouses already run without staff around the clock.
QbitAI describes a proposed Warehouse Brain built around three software layers: RMS for robot scheduling, WES for warehouse execution and IOP for operational analysis. The approach ties robot coordination to order and site operations rather than treating each machine as a standalone purchase.
The report says a trial at Schneider Electric’s Shanghai logistics center reached twice the picking efficiency of manual work and accuracy above 99.99%. It does not state the trial’s duration, volume or measurement method, so warehouse buyers should treat the figures as a site-specific report and request comparable full-shift results, exception-recovery data and integration requirements.
Companies in this report
Supplier profiles in the RoboPallas directory