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Kardex Unifies Fulfillment at MODEX 2026: AutoStore, VLMs, KardexOne

At MODEX 2026, Kardex unveiled a unified fulfillment experience integrating AutoStore systems, Vertical Lift Module Kardex Shuttles (VLMs), and its KardexOne software platform. According to the report, this cohesive goods-to-person approach addresses SKU complexity, space constraints, and productivity demands while maintaining accuracy. The Intuitive Picking Assistant (IPA) and KardexOne aim to boost operator confidence and provide end-to-end warehouse transparency. The demonstration targets global supply chain professionals seeking scalable, modular, and software-connected automation solutions.

Original source: thescxchange.com

Kardex Unifies Fulfillment at MODEX 2026: AutoStore, VLMs, KardexOne
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At MODEX 2026, Kardex unveiled a unified fulfillment experience integrating AutoStore systems, Vertical Lift Module Kardex Shuttles (VLMs), and its KardexOne software platform. According to the report, this cohesive goods-to-person approach addresses SKU complexity, space constraints, and productivity demands while maintaining accuracy. The Intuitive Picking Assistant (IPA) and KardexOne aim to boost operator confidence and provide end-to-end warehouse transparency. The demonstration targets global supply chain professionals seeking scalable, modular, and software-connected automation solutions.

According to www.thescxchange.com, logistics automation company Kardex is showcasing a modern, unified approach to fulfillment at MODEX 2026 — the premier North American supply chain and logistics exhibition held in Atlanta, Georgia. The demonstration centers on integrating automated hardware, guided human workflows, and connected software into a single operational framework designed to improve warehouse performance without increasing complexity.

A Cohesive Goods-to-Person Fulfillment Experience

Kardex will present what it describes as a cohesive goods-to-person fulfillment experience that connects three core components: AutoStore systems, Vertical Lift Module Kardex Shuttles (VLMs), and software-driven workflows. This integration enables operations to manage growing stock-keeping unit (SKU) complexity, space constraints, and rising productivity demands — all while maintaining accuracy and consistency across processes.

Key Technologies on Display

  • Intuitive Picking Assistant (IPA): A guided picking interface designed to improve accuracy, usability, and operator confidence
  • KardexOne software platform: Connects machines, systems, and data across the warehouse to enable a more transparent, efficient, and controlled fulfillment operation
  • Modular automation technologies: Including AutoStore and Kardex Shuttle VLMs, supporting scalable operations and consistent execution

The source states that Kardex’s unified approach emphasizes intelligent software, modular hardware, and integrated workflows — collectively aimed at delivering improved picking confidence and operational scalability across diverse fulfillment environments. According to the report, these capabilities are especially relevant amid intensifying pressure on distribution centers to handle greater SKU variety, tighter labor availability, and higher throughput expectations — trends widely documented across recent industry benchmarks including MHI’s Annual Industry Report and CSCMP’s State of Logistics reports.

For global supply chain professionals, this integration signals a shift from siloed automation deployments toward interoperable, data-connected systems. Practically, it means fewer manual handoffs between storage, retrieval, and packing; reduced training time for new pickers via intuitive IPA guidance; and real-time visibility into inventory location, system status, and order progress via KardexOne — all accessible from a single platform. As warehouse footprints remain constrained in major logistics corridors such as the US Sun Belt and EU urban distribution hubs, modular, high-density solutions like AutoStore and VLMs offer measurable space-saving advantages without sacrificing throughput.

Source: www.thescxchange.com

Compiled from international media by the SCI.AI editorial team.

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