Warehousing
The success or failure of warehouse automation investment depends on the software layer.
Inteq Sales Director Jon Roberts pointed out that warehouse execution systems (WES) are key to automation ROI, and hardware-agnostic software platforms are replacing hardware-first strategies to drive logistics efficiency improvements.
Software Layer: The Key to Automation Success or Failure
Against the backdrop of warehouse automation increasingly becoming a board-level strategic topic, software integration capabilities are overtaking hardware selection as the decisive factor in project success or failure. Jon Roberts, Sales Director of UK warehouse automation specialist Inteq, stated in an interview: "The software layer is where the ROI of automation is won or lost."
From Hardware-First to Software-First
Roberts noted that in the past, companies often selected hardware first and then considered integration, leading to siloed systems that were difficult to scale. Today, the software-first model—deploying a Warehouse Execution System (WES) from the design stage—provides unified integration and flexibility. WES integrates robots, conveyors, personnel, and data into a single operational view, enabling operations teams to respond to changes in real time rather than after the fact.
AMR as Core Infrastructure
Autonomous Mobile Robots (AMRs) have moved beyond the pilot phase. Roberts cited a case where a large fashion retailer, over three years, tripled the efficiency of returns putaway and doubled picking efficiency through AMRs, with 99% of returns processed within 24 hours. The Robots-as-a-Service (RaaS) model removes capital barriers, allowing rapid deployment and flexible scaling of AMRs, especially advantageous in managing seasonal fluctuations.
AI-Driven Predictive Operations
Artificial intelligence is shifting warehouses from reactive to proactive. Predictive maintenance is a typical application—OEMs use equipment sensors and PLC data to identify faults early, combined with a Warehouse Control System (WCS) for centralized management, reducing downtime. At the same time, AI optimizes task allocation in real time, such as AMR path planning and load balancing. Roberts emphasized that the effectiveness of AI depends on a powerful orchestration platform with visibility across systems, data, and hardware.
Pallet Shuttle Systems and Space Pressure
As warehouse space costs rise and labor shortages intensify, demand for pallet shuttle Automated Storage and Retrieval Systems (ASRS) is growing. These systems occupy only a fraction of the floor space of traditional shelving and can integrate with AMRs, conveyors, and robotic arms, enabling end-to-end automation from single items to full pallets while reducing operational costs. For operators facing triple pressures of throughput, labor, and space, such interconnected solutions are increasingly becoming a practical choice.
Cybersecurity and Resilience
Increased warehouse connectivity also brings cybersecurity risks. Roberts pointed out that companies should incorporate security considerations into the automation design phase rather than as an afterthought. A unified software control platform helps reduce fragmentation of integration points, simplifies patch management and upgrade paths, and ensures the resilience of critical infrastructure.
Future Outlook: Platformization and ScalabilityRoberts predicts that over the next three to five years, warehouses that successfully scale automation will share three characteristics: designing software integration from day one, adopting a hardware-agnostic software foundation to absorb new technologies, and genuine alignment between senior management and operations teams. Companies that have already deployed a software platform in place with smooth data flows and can evolve incrementally rather than starting over will gain a sustained competitive advantage.
--- *This article is based on an interview with Jon Roberts, Sales Director at Inteq, by Robotics & Automation News.*
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