Jacobi Robotics, a Physical AI company specializing in warehouse automation, has announced a collaboration with ABB Robotics to integrate Jacobi’s OmniPalletizer AI software into ABB Robotics’ portfolio of industrial hardware and software. The partnership enables ABB Robotics’ network of system integrators to deploy AI-driven mixed-case palletizing without the need for upstream sequencing infrastructure, facility redesign, or custom engineering.
“OmniPalletizer represents the kind of Physical AI capability that we believe will define the next era of warehouse automation. We are pleased to bring it to our integrators as a validated solution backed by ABB Robotics’ technology, global reach, and service,” says John Bubnikovich, President and US Country Leader at ABB Robotics.
Mixed-case palletizing—the process of building stable, store-ready pallets from live, unsequenced case flows—is one of the most labor-intensive workflows in distribution. Industry estimates place direct labor costs in the United States alone at more than $15 billion annually, rising to over $50 billion when indirect costs are included. Until now, automation of this workflow has been largely limited to operations able to invest in new sequencing systems.
Under the collaboration, system integrators can purchase Jacobi’s OmniPalletizer solution pre-integrated with ABB Robotics’ industrial-grade robots and add site-specific elements such as conveyors, safety systems, and sensors. This approach provides integrators with a validated, AI-powered software core supported by ABB Robotics’ technical documentation, integration support, and global service organization.
The combined solution offers several key advantages:
Hardware and Software Integration: OmniPalletizer AI software operates on ABB Robotics’ industrial hardware, providing proven technology at both software and hardware levels.
Brownfield Deployment: The system can be installed alongside existing operations, eliminating the need for extensive facility modifications or sequencing systems.
Digital-Twin Validation: Each deployment is simulated using the customer’s actual order history to establish throughput, pallet quality, and projected return on investment before purchase.
Operational Savings: Automating mixed-case palletizing can reduce labor costs, product damage, freight expenses, and injury-related costs.
Continuous Improvement: OmniPalletizer leverages fleet-wide learning and regular software updates to enhance stacking performance, cube utilization, and reliability over time.
“ABB Robotics’ decision to integrate OmniPalletizer validates the technology we’ve built. Together, we are providing integrators with a repeatable, AI-powered approach to mixed-case palletizing that operates effectively in real warehouses,” says Max Cao, Chief Executive Officer of Jacobi Robotics.
The collaboration comes as artificial intelligence continues to advance in physical operations, enabling productivity gains in warehouse automation similar to those seen in knowledge work. By integrating OmniPalletizer with ABB Robotics’ platform, the solution becomes widely accessible through ABB’s global channel.