Autonomous warehouse robotics that deliver totes directly to operators, eliminating walking and accelerating automated order picking without fixed conveyors.
Traditional warehouse picking models force operators to walk long distances, navigate crowded aisles, and repeatedly handle the same manual tasks. As order volume grows and SKU counts increase, these inefficiencies compound — driving up labor costs, slowing fulfillment, and increasing error rates.
Goods-to-person automation flips this model by bringing inventory directly to the operator. Instead of workers traveling to inventory, intelligent systems like RackBot™ eliminate unnecessary movement and enable faster, more consistent automated case picking.
Pickers can spend up to 60% of their shift walking.
In most warehouses, a significant portion of labor time is still consumed by warehouse picking activities that add little value — walking aisles, searching for inventory, and navigating congestion. As order volume and SKU counts grow, these inefficiencies multiply, limiting throughput long before physical capacity is reached.
This is why more operations are moving toward goods-to-person automation — not as a future upgrade, but as a practical way to stabilize performance, reduce labor strain, and support reliable automated case picking as demand increases.
Pick rates often vary more by travel distance than by inividual performance.
How RackBot™ Enables Goods-to-Person Automation
RackBot™ is an autonomous goods-to-person solution that brings inventory directly to operators instead of forcing them to walk long aisles or wait on fixed systems. By retrieving cases straight from racking and delivering them to ergonomic pick locations, RackBot™ removes unnecessary movement and creates a more efficient picking flow.
As order volume and SKU counts grow, this approach helps stabilize pick rates and reduce variability across shifts. The result is faster, more consistent automated case picking that scales with demand—without relying on fixed conveyors or complex infrastructure.
Goods-to-person systems eliminate aisle congestion by shifting throughout control from labor to software.
Goods-to-person automation delivers inventory directly to operators instead of requiring manual travel, reducing walking, improving pick consistency, and increasing throughput compared to traditional warehouse picking methods.
RackBot™ operates autonomously within existing layouts, delivering cases without fixed conveyors or rigid infrastructure, making it faster to deploy and easier to adapt as operational needs change.
Yes. RackBot™ is optimized for automated case picking workflows where speed, consistency, and reduced travel time are critical to maintaining reliable throughput at scale.
RackBot™ is designed to integrate into existing warehouses and racking layouts, minimizing disruption and avoiding the need for major structural modifications or permanent infrastructure changes.
RackBot™ scales by adding robots or expanding operational zones, allowing facilities to support higher order volume and SKU growth without redesigning workflows or replacing existing systems.
Goods-to-person automation reduces non-value-added labor like walking and searching, allowing operators to focus on picking tasks while improving overall labor efficiency and consistency.
Deployment timelines vary by facility, but RackBot™ implementations are typically faster than conveyor-based automation due to simpler integration and reduced infrastructure requirements.
RackBot™ works well for distribution centers, e-commerce fulfillment, and manufacturing support environments facing growing SKU counts, labor constraints, or increasing demand for automated case picking.
RackBot™ brings inventory directly to operators, eliminating wasted movement and enabling consistent,
scalable throughput—without fixed conveyors or rigid infrastructure.
