{"id":66004,"date":"2026-03-10T09:46:31","date_gmt":"2026-03-10T09:46:31","guid":{"rendered":"https:\/\/logisticsbusiness.com\/?p=66004"},"modified":"2026-03-10T09:46:34","modified_gmt":"2026-03-10T09:46:34","slug":"warehouse-technology-predictions","status":"publish","type":"post","link":"https:\/\/logisticsbusiness.com\/warehousing\/warehouse-technology-predictions\/","title":{"rendered":"Warehouse Technology Predictions"},"content":{"rendered":"\n

Forecasting is easy. Getting it right isn\u2019t. We asked four spokespeople at warehouse robot and intelligence platform specialists Dexory to put on record the likely trends for the year ahead.<\/p>\n\n\n\n

Autonomous robots<\/h2>\n\n\n\n

First up is Dr. Marcus Scheunemann, Head of Autonomy for Dexory<\/a>, who believes the top trend will be the subject of autonomous robots: \u201c2026 will mark a significant step towards full autonomy for robots. Advances in AI paired with increasingly sophisticated robotic control systems are allowing autonomous machines to interpret their surroundings more precisely and manage unpredictable situations better. As these technologies mature together, we will see a noticeable shift in what autonomous robots can reliably handle without human input.<\/p>\n\n\n

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\"\"<\/figure>\n<\/div>\n\n\n

\u201cThis shift will pave the way for organisations to operate entire fleets with far less day-to-day oversight. If this pace continues, it\u2019s fair to say we will reach a point where most routine operational tasks could run independently, with only very unusual scenarios still requiring human support. Achieving this level of autonomy within the next two to three years would set a new standard for how autonomous systems perform in real-world environments and represent a significant milestone for the entire robotics sector.\u201d<\/p>\n\n\n\n

Warehouse visibility<\/h2>\n\n\n\n

Todd Boone, Vice President North America, Dexory picked the issue of visibility in warehouses: \u201cIn 2026, true warehouse intelligence based on data rather than assumptions will shift from being a novelty to becoming a standard expectation. Customers will increasingly require insights they can act on, drawn from rich and comprehensive data sets rather than simply faster inventory counts.<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

\u201cAs this shift accelerates, the limitations of drone-based solutions will become more apparent because they do not capture enough of the right data to meaningfully influence operations at scale. As warehouse visibility and analytics mature, organisations will expect full-spectrum intelligence, making partial solutions far less viable.\u201d<\/p>\n\n\n\n

Agentic warehouses<\/h2>\n\n\n\n

Divya Gautam, Head of AI, Dexory focuses on agentic AI: \u201c2026 will be the year the warehouse becomes \u2018agentic\u2019. The industry will move beyond passive visibility, where AI surfaces endless unprioritised alerts, to active intelligence where autonomous systems interpret context, reasons, and recommend the next best action. Competitive advantage will shift to warehouses that turn raw data into autonomous decision-support by using AI agents that collaborate with human teams to resolve issues faster and more accurately.\u201d<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n

Collaborative agents<\/h2>\n\n\n\n

Finally, Oana Jinga, Chief Commercial & Product Officer & Co-Founder of Dexory, opted to discuss collaborative agents: \u201cIn 2026, multi-AI agent systems will become the backbone of next-generation warehouse automation. Instead of a single monolithic software controlling operations, warehouses will deploy collaborative AI agents \u2014 each specializing in tasks such as real-time inventory perception, traffic optimization, predictive maintenance, labour allocation, and exception handling. These agents will communicate continuously with each other and with fleets of autonomous robots, enabling a fluid, self-optimizing warehouse ecosystem.\u201d<\/p>\n\n\n

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8 Areas to optimise<\/h2>\n\n\n\n

The warehousing industry is evolving faster than ever. Rising customer expectations, growing SKU complexity and global supply chain pressures demand faster fulfilment, better use of space, and uncompromising safety. Yet for many warehouses, inefficiency persists – lost pallets<\/a>, underused aisles, and inconsistent data updates. The question is no longer if automation drives ROI, but how fast you can capture it.<\/p>\n\n\n\n

That’s where optimisation comes in. High levels of stock integrity mean warehouses can operate with faster, more reliable workflows and optimal use of resources. But once inventory health and visibility are firmly in place, the next step is to unlock the full potential of your operations through targeted, AI-driven optimisation strategies.<\/p>\n\n\n\n

By enhancing the flow of goods, maximising space utilisation, and refining processes, operations can keep pace with rising demand with precision and speed. Dexory outlines eight areas for warehouse optimisation – from real-time visibility and block stack digitisation to AI-powered consolidation planning and weight restriction monitoring:<\/p>\n\n\n\n

    \n
  1. Inventory integrity as the cornerstone of efficient operations
    High levels of stock integrity mean warehouses can operate with faster, more reliable workflows and optimal use of resources, while enabling confident decision-making and minimising operational disruptions.<\/li>\n\n\n\n
  2. Real-time visibility that turns blind spots into insights
    Only 6% of logistics companies report full visibility over their operations. This gap can mean missed opportunities, safety risks, and slower fulfilment.<\/li>\n\n\n\n
  3. Block stack storage visibility without disruption
    What if you could eliminate the blind spots in deep storage areas? No more guessing, lifting, or forklift repositioning. Just evaluating discrepancies in real time, such as missing, miscounted, or incorrectly placed items.<\/li>\n\n\n\n
  4. Pick face optimisation for smarter cycle counts
    Every day, the WMS generates a cycle count list. You know most of it is wasted effort, but you still have to check every single location. Instead, how about shrinking the cycle, freeing up resources, and finally getting control of your pick face locations with maximum efficiency?<\/li>\n\n\n\n
  5. Maximising storage utilisation
    AI-powered consolidation planning can identify opportunities to group compatible items together while avoiding conflicts like mismatched batch codes or incompatible products. This reduces wasted space and unproductive travel time between storage locations. Optimal space utilisation and efficient stock handling bolster long-term reputational gains by showcasing operational excellence and dependability.<\/li>\n\n\n\n
  6. Improved compliance and safety with advanced slotting verification
    Every warehouse faces risks from incorrect slotting. By aligning slotting with both safety and efficiency, warehouses ensure that they remain audit-ready, compliant, and secure.<\/li>\n\n\n\n
  7. Faster fulfilment, no picking delays
    Poor replenishment leads to picker delays, slow order fulfilment and reduction in storage efficiency. But with advanced robotics and automation systems, warehouses can achieve faster fulfilment and throughput without extra headcount.<\/li>\n\n\n\n
  8. Weight restriction monitoring for safer, risk-free warehouses
    Overloaded bays and racks put staff and infrastructure at risk. Manual checks are slow, error-prone, and often inconsistent. At the same time, WMS rules are static, they don\u2019t
    prevent live overloads. With the right use of automation, warehouses can ensure risk-free operations where safety is never compromised.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Forecasting is easy. Getting it right isn\u2019t. We asked four spokespeople at warehouse robot and intelligence platform specialists Dexory to put on record the likely trends for the year ahead. Autonomous robots First up is Dr. Marcus Scheunemann, Head of Autonomy for Dexory, who believes the top trend will be the subject of autonomous robots: […]<\/p>\n","protected":false},"author":4,"featured_media":66009,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[20,22,31,117,19,21,26,36],"tags":[8207,10187,9695,25022,24162],"class_list":["post-66004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-amr-agv","category-automation-systems-shuttles","category-it-in-logistics","category-magazine-features","category-materials-handling","category-robotic-picking","category-warehousing","category-wms-scm-software","tag-agv","tag-dexory","tag-digital-twin","tag-warehouse-predictions","tag-warehouse-technology"],"acf":[],"yoast_head":"\nWarehouse Technology Predictions - Logistics News<\/title>\n<meta name=\"description\" content=\"Warehouse 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Priestman","author_link":"https:\/\/logisticsbusiness.com\/author\/david-priestman\/"},"rttpg_comment":1,"rttpg_category":"<a href=\"https:\/\/logisticsbusiness.com\/category\/materials-handling\/amr-agv\/\" rel=\"category tag\">AMR and AGV<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/materials-handling\/automation-systems-shuttles\/\" rel=\"category tag\">Automation Systems and Shuttles<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/it-in-logistics\/\" rel=\"category tag\">IT in Logistics<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/magazine-features\/\" rel=\"category tag\">Magazine Features<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/materials-handling\/\" rel=\"category tag\">Materials Handling<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/materials-handling\/robotic-picking\/\" rel=\"category tag\">Robotic Picking<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/warehousing\/\" rel=\"category tag\">Warehousing<\/a> <a href=\"https:\/\/logisticsbusiness.com\/category\/it-in-logistics\/wms-scm-software\/\" rel=\"category tag\">WMS & SCM Software<\/a>","rttpg_excerpt":"Forecasting is easy. Getting it right isn\u2019t. We asked four spokespeople at warehouse robot and intelligence platform specialists Dexory to put on record the likely trends for the year ahead. Autonomous robots First up is Dr. Marcus Scheunemann, Head of Autonomy for Dexory, who believes the top trend will be the subject of autonomous robots:…","_links":{"self":[{"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/posts\/66004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/comments?post=66004"}],"version-history":[{"count":1,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/posts\/66004\/revisions"}],"predecessor-version":[{"id":66010,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/posts\/66004\/revisions\/66010"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/media\/66009"}],"wp:attachment":[{"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/media?parent=66004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/categories?post=66004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/logisticsbusiness.com\/wp-json\/wp\/v2\/tags?post=66004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}