This article was automatically translated from the original Turkish version.
+2 More
Locus Robotics develops AI-enabled mobile robot systems designed to automate intra-logistics material flow and offers them to businesses through a Robots-as-a-Service (RaaS) model. The company’s platform coordinates a fleet of multi-purpose autonomous mobile robots (AMRs) via a centralized software architecture called LocusONE. The system is used to increase productivity in warehouse processes such as order picking, putaway, replenishment, point-to-point transport, multi-level and narrow-aisle area management, while reducing physical workload on labor and scaling operational efficiency. The company’s solution is widely applied in sectors including e-commerce, third-party logistics (3PL), retail, healthcare logistics, and industrial distribution.
Locus Robotics offers its autonomous robots not as capital-intensive, permanent hardware sales but through a subscription-based RaaS model. This model bundles robots, software, fleet management, maintenance, continuous remote monitoring, and optimization into a single service package. The RaaS approach shifts the investment from capital expenditure (CAPEX) to operational expenditure (OPEX), shortening budget approval cycles. The company increases capacity during peak periods by deploying additional robots on demand and allows customers to return robots when demand declines. This structure enables flexible capacity planning in industries with fluctuating workloads and prevents high upfront capital lock-in during initial deployment.
LocusONE is Locus Robotics’ enterprise-level AMR orchestration layer. The platform manages robot fleets, human operators, and warehouse management systems (WMS) within a single facility or across a multi-site network. LocusONE includes a business intelligence component that provides real-time performance data, historical comparisons, executive dashboards, multi-facility summaries, and on-site decision support. This architecture delivers AI-driven decision support for route optimization, task assignment, bottleneck detection, labor reassignment, and order picking prioritization. The platform also manages collision avoidance, obstacle navigation, and dynamic mapping to ensure safe human-robot interaction within the warehouse. The company defines this system as an enterprise automation layer integrating hardware, software, AI-powered business intelligence, service, support, and security under a single umbrella.
Locus Robotics’ fleet consists of multiple robot types functionally specialized to support different workflows. The Locus Origin is designed as a collaborative mobile robot (CMR) to accompany human workers in high-volume order picking operations. Origin features a modular transport surface capable of handling multi-level racking and various container types, aiming to increase picking speed by more than two times per hour by reducing the walking distance of human pickers. The Locus Vector is used for case picking, point-to-point transport, and material handling tasks, leveraging higher payload capacity and omnidirectional mobility to automate manual pushing and pulling of heavy loads. The company deploys these robots not only in “pick” processes but also in putaway, replenishment, internal logistics transport, and multi-level mezzanine warehouse management. This approach targets holistic optimization of inter-process logistics flows rather than single-purpose automation.
The company centers its enterprise sales narrative on proven field performance metrics. According to Locus Robotics, customers achieve a 2x to 3x increase in productivity per worker (units per hour, UPH) and up to a 50% improvement in order cycle time. In some distribution centers, picking speed per worker has risen from 30–40 units per hour to 120–150 units per hour. In another application, operations increased from 78 UPH to approximately 150 UPH. The company states that over 700 robots can be deployed in a single facility, with more than 13,000 active robots deployed globally across more than 300 sites in 18 countries. This scale supports the claim that the platform operates effectively not only in pilot environments but in full-scale enterprise production settings. The company reports typical return on investment (ROI) occurs within 6 to 8 months and full deployment is completed within 4 to 6 weeks. The short “go-live” timeline is attributed to minimal integration effort with existing infrastructure. Training times are reduced to minutes, and new operators rapidly achieve on-floor productivity.
Locus Robotics solutions are deployed across diverse sectors with common objectives: reducing physical strain on workers, minimizing stockouts and delivery delays, scaling capacity during peak seasons, and ensuring compliance with service level agreements (SLAs).
DHL Supply Chain integrates the Locus Robotics system with its Manhattan-based warehouse management infrastructure to enhance order fulfillment accuracy and productivity. CEVA Logistics reports up to a 50% productivity gain using the Locus Vector-based architecture and defines the solution as a scalable foundation for future volume growth. Maersk transitioned manual cart-based picking during peak periods to a Locus Origin fleet that can be quickly deployed with minimal training, improving order accuracy and flexibility; the company reports it can manage demand surges—such as sudden social media-driven order spikes—within 24 hours. Kenco Group reported a picking rate of 30–40 units per hour per worker before implementing Locus, rising to 120–150 units per hour after deployment. ISN implemented the system through integration with Körber Supply Chain Solutions with virtually no operational downtime and reported a 230% productivity increase. In healthcare logistics, customers such as Cardinal Health and UPS Healthcare use Locus systems to reduce error risk and standardize quality verification processes in pharmaceutical and medical device distribution. In retail and consumer goods, Boots (United Kingdom) and Boulanger (France) focus on ensuring the right product reaches the right customer at the right time, reducing in-warehouse walking distances, and eliminating the need for workers to pull heavy carts. These customer examples demonstrate the system’s applicability in both regulated healthcare environments and high-volume consumer e-commerce.
Locus Robotics approaches deployment not merely as a technology provider but as a continuous partnership. The company’s “Customer Success” organization defines a unified process encompassing planning, deployment, in-operation monitoring, continuous improvement, and streamlined support. This structure positions the company not just as a robot supplier but as a warehouse performance partner. The company states its global support organization is built on deep warehouse operational expertise and reports a customer satisfaction score of 96, while targeting 99.99% system uptime in field deployments. Locus also measures workforce impact not only in output efficiency but also in ergonomics and employee retention; for example, by reducing turnover and facilitating multi-task training, it has achieved employee retention rates of up to 90%. In this framework, robots take over low-value, repetitive transport tasks performed by humans, while workers are redirected toward on-floor decision-making and quality assurance steps.
Locus Robotics solutions can be implemented in both existing facilities (brownfield) and newly constructed distribution centers (greenfield). The company emphasizes that its technology does not require reconfiguration of existing warehouse infrastructure and is compatible with physical constraints such as racking layouts, aisle geometry, multi-level mezzanines, and narrow corridors. Dynamic mapping and autonomous navigation reduce the need for high-cost interventions like pre-installed wiring, fixed rails, or conveyor systems. This approach enables deployment without disrupting operations and supports the claim that systems become operational within days. The same strategy addresses capacity scaling during peak seasons and sudden demand spikes driven by social media, by physically deploying and activating additional robots as needed.
Locus Robotics’ executive leadership comprises a team of experts in warehouse operations, supply chain, artificial intelligence, software, hardware engineering, and enterprise scaling. Rick Faulk serves as Chief Executive Officer (CEO). Mike Johnson leads operations as President and Chief Operating Officer (COO). Dustin Pederson manages financial structure and the investment dimensions of the RaaS model as Chief Financial Officer (CFO). Sean Johnson holds the role of Chief Technology Officer (CTO). Corporate customer relations are led by Chief Customer Officer Jasmine Lombardi. Two senior engineering teams operate at the senior vice president level: Mike Sussman leads Hardware Engineering, and Tom Moore leads Robotics Software Engineering. Hamid Montazeri is identified as Senior Vice President responsible for software and artificial intelligence. International growth and global deployment scale are managed by Denis Niezgoda, Chief Commercial Officer of International. The Board of Directors includes experienced members in corporate growth and capital strategy, chaired by John Hayes. Board members include Rick Faulk, Mike Johnson, Rory O’Driscoll, Chris Gaffney, Zach Barasz, and Ben Fife.
Locus Robotics defines itself as a provider of enterprise-level autonomous warehouse automation and positions its solution not merely as a mobile robot sale but as a rapidly deployable, data-driven, scalable, subscription-based operational partnership model. The company targets customers with high product variety, high units per order, and volatile demand profiles—specifically third-party logistics (3PL) providers, pharmaceutical and medical supply distributors, multi-channel retailers, industrial parts distributors, and fashion/lifestyle brands as its primary use cases.
Operational Model and RaaS Approach
LocusONE Platform
Robot Fleet and Use Cases
Customer Use Cases
Deployment Environment and Strategy
Management Structure