Sports company PUMA is collaborating with Logistics Reply to implement the cloud-native LEA Reply WMS and AI-powered GaliLEA assistant to modernize its global warehousing.
A SMARTER KICK Global sports company PUMA is working with Logistics Reply to integrate arti cial intelligence (AI) into its warehouse operations to boost speed and ensure it can respond quickly to market dynamics. A rst step in PUMA’s supply chain digital transformation was implementing LEA Reply, a warehouse management system (WMS) from Logistics Reply. PUMA then implemented GaliLEA, an intelligent assistant within the LEA Reply platform that provides AI data retrieval and automated technical support. With GaliLEA, warehouse managers and employees can use natural language
Because of its simplicity, PUMA was able to quickly roll out GaliLEA, says Manfred Gastager, senior director, global customer ful llment with PUMA. A rapid rollout accelerates the time between implementation and the value gained from the solution. ADAPTING TO CHANGE In a VUCA landscape, leading warehouses combine automation, intelligent systems, and strategic partnerships to boost speed, resilience, and accuracy—while simplifying work ows, empowering employees, and creating scalable operations ready to adapt quickly to constant change. Gartner recommends CSCOs take the following steps when designing robot-centric environments: • Adopt digital twin and simulation models early to validate layouts and optimize robotic performance prior to construction. • Favor scalable, software-defined robotics platforms over single-purpose automation for adaptability and reduced obsolescence risk. • Establish long-term vendor ecosystem partnerships to support future integration, flexibility, and expansion.
queries to obtain information about the WMS or resolve operational issues. GaliLEA can also provide training on warehouse procedures in multiple languages. As a result, employees often can address these issues without having to call on IT experts, so they can quickly return to their jobs. Once a problem is documented within GaliLEA, it’s able to draw on its knowledge to provide insight. For example, most orders going from PUMA to big box retailers follow a similar path. However, if GaliLEA notices a particular path is backlogged, it can recommend a different one, says Todd Kolber, partner with Logistics Reply. using automation-led workflows. Fixed infrastructure is transitioning to software- managed, self-optimizing environments that adjust workflows based on demand or labor availability. This means robotic pickers can be rerouted or tasks reallocated between humans and machines. Autonomous facilities scale eciently, requiring reduced lighting and climate control and reconfiguring workflows without physical changes. Automation oers cost advantages for handling higher volumes despite initial capital costs.
Implications of Robot-Centric, AI-Enabled Warehouses By 2030, 50% of new developed-market warehouses will be “robot-centric,” making
human labor optional, Gartner predicts. Due to labor shortages and high costs, chief supply chain ocers (CSCOs) are accelerating adoption of intralogistics smart robotics (ISRs) to scale operations and move away from obsolete manual models. New facilities are designed where human labor handles exceptions, not daily operations. Coordinating heterogeneous ISR fleets requires multi-agent orchestration platforms. Warehouse designs now prioritize flexibility
May 2026 • Inbound Logistics 37
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