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BUILDING THE INTELLIGENT WAREHOUSE: WHY DIGITAL TWINS MATTER NOW
BUILDING THE INTELLIGENT WAREHOUSE: WHY DIGITAL TWINS MATTER NOW
Dexory explains how real-time digital twins are being applied in warehouses F
or decades, warehouses have operated with limited real-time visibility. Manual inventory checks, outdated data, and partial snapshots
of operations were accepted as the cost of doing business. Today, that approach is no longer sustainable. The role of the warehouse has changed. It is no longer just a node in the supply chain, but an intelligence centre that determines whether service levels are met, costs are controlled, and growth plans succeed. Speed and accuracy are no longer a competitive advantage; they are baseline expectations.
The challenge is clear: how can warehouse operators achieve complete operational visibility without introducing additional complexity or disruption? Increasingly, the answer lies in the digital twin. Despite advances in warehouse management systems, many operations still rely on incomplete or infrequent data. Stock counts may take place weekly or monthly, with discrepancies often discovered only after orders are delayed, labour is wasted searching for inventory, or customer service is impacted. can be outdated almost as soon as it is recorded. In fast-moving environments, the gap between what systems report and what As customer expectations rise and supply chains grow more complex, warehouse leaders increasingly recognise the need for a live, accurate view of inventory, space, and movement across the operation. A digital twin is a continuously updated,
live representation of the warehouse environment. Rather than relying on operational reality as it changes, providing a single source of truth for decision-making. DexoryView applies this approach by combining autonomous data capture with digital twin technology to create an interactive, real-time view of the warehouse. Data is collected continuously and translated into insight that allows teams to identify issues as they emerge rather than responding after problems have already occurred. “Warehouses have long struggled with poor visibility, manual data capture, and
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outdated inventory information that slows operations and drives up costs,” says Oana Jinga, Founder at Dexory. “DexoryView was created to solve these challenges by providing real-time insight through autonomous data collection and digital twin technology, helping teams make faster, more accurate decisions.” By reducing reliance on manual stock checks and periodic audits, digital twins help decisions are based on current conditions rather than historical data. For warehouse operators, this shift from
static reporting to live visibility delivers tangible DexoryView report implementation measured in days rather than months, with return on investment (ROI) achieved within a short operational timeframe. “Customers using DexoryView are seeing achieving over 200 percent ROI in under six months,” Jinga says. “By automating stock checks and improving accuracy, businesses are saving tens of thousands of pounds annually and freeing up hundreds of hours of manual work.” Crucially, this shift does not replace the
warehouse workforce. Instead, it removes repetitive, low-value tasks such as manual counting and searching for misplaced stock. This allows teams to focus on higher-value activities, including process improvement, space optimisation, and operational planning. Real-time visibility, however, is only the starting reality, teams stop questioning the numbers and start acting on them. Decision-making becomes more proactive. Issues such as misplaced pallets, stock discrepancies, or underutilised space are already disrupted operations. Autonomous systems play a key role in this transition. By capturing data continuously, they provide a consistent and unbiased view of the warehouse environment. This live data feeds the digital twin, creating a trusted operational picture that updates throughout every shift. than reserved for periodic reviews or audits.
Over time, operations are guided less by exception handling and more by informed, day-to-day decision-making. This is where the intelligent warehouse starts to take shape, not through technology alone, but through the consistent application of insight to everyday operational choices. When insight becomes part of everyday decision-making, the impact extends beyond Accurate, real-time visibility changes how
warehouse teams operate under pressure. Fewer decisions are made on assumptions. Problems are addressed earlier, when they are easier and less costly to resolve.
Service levels become more predictable. operations become more resilient, better able to absorb disruption without constant manual intervention. Perhaps most importantly, an intelligent
warehouse creates alignment. Teams across shifts and functions work from the same trusted view of reality, reducing friction and enabling clearer accountability. Continuous improvement becomes part of normal operations rather than a separate initiative. In this context, intelligence is not about sophistication for its own sake. It is about environments where complexity is increasing and margins for error are shrinking. For organisations looking to remain competitive, the question is no longer whether digital twin technology has a role to play, but how quickly it can be integrated into everyday operations. Warehouses that act now will help decade. Those that delay risk spending years trying to close the gap.
Dexory
www.dexory.com
Automation | February 2026 21
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