Most robotic palletizing systems optimize the arm. Bullseye Scheduling optimizes everything around it — eliminating the idle time that caps every static-position architecture.
The Hard Problem
Robotic palletizing works well for a narrow slice of the problem — single SKU pallets, high quantities per line, consistent case dimensions. For those operations, static-position architectures hit 500+ cases per hour and the math is easy.
The moment you add mixed SKUs, variable donor pallet arrival, sub-5 qty per line, and outbound pallet complexity, throughput collapses. The arm sits idle waiting for the right donor. Build pallets wait in queue. The theoretical rate and the real-world rate diverge sharply.
The industry has treated this as an arm problem. It isn't. It's an orchestration problem.
The Architecture
Most systems optimize the arm.
Bullseye Scheduling optimizes everything around it.
The Four Zones
Four Station Types. One Orchestrated Flow.
PES routes each build pallet to whichever station it needs next — in any order, any combination. A single build pallet can move from layer arm to human APS to case arm and back. Tall mixed-SKU pallets route to the TPS. The routing happens automatically based on what the order requires and what's available.
Picks complete layers from donor pallets in a single movement. Highest throughput for SKUs where full-layer quantities make sense — typically high-velocity, consistent case dimensions.
Vision-guided arm picks individual cases. Handles medium-velocity SKUs with sufficient consistency for reliable robotic pick. Covers the wide range of cases the layer arm can't handle at full-layer scale.
A PES-directed human station handles edge cases — irregular, fragile, or low-velocity SKUs the arms can't reliably process. The worker is directed by PES with scan confirmation. No manual decision-making required.
The order profile nobody wanted to automate — 25+ unique SKUs, sub-3 qty per line, pallets up to 108" tall. One PES-directed worker builds multiple pallets simultaneously from an elevated platform while MobilePallet robots continuously replenish source pallets below.
How PES Thinks
Every competing architecture we're aware of thinks at the order level — meaning a build pallet is "owned" by an order and waits for everything that order needs, in sequence.
PES decomposes every inbound order into individual picks. Those picks get pooled across all active orders and optimized against live donor pallet availability. The question PES asks isn't "which order is next?" — it's "which pick can I complete right now?"
The result: build pallets in the Zone 2 buffer that are waiting for a specific donor don't block the arm. The arm keeps picking other builds. When that donor arrives, PES immediately dispatches a MobilePallet from Zone 2, and the arm starts picking that SKU without interruption.
Real-World Throughput
Theoretical rates don't run your warehouse. What matters is sustained throughput in real outbound mixed-SKU conditions — variable order profiles, mixed donor pallet arrival, real exception rates.
Bullseye Scheduling throughput projections reflect mixed outbound SKU conditions with variable donor pallet arrival. Actual results depend on facility layout, SKU profile, and order mix. Contact Prime Robotics for an operation-specific assessment.
Get a Private Walkthrough
Talk to a Prime engineer about your outbound order profile. We'll tell you quickly whether Bullseye Scheduling changes the math for your operation — and what the throughput projection looks like for your SKU mix.