Modern manufacturing logistics must transform to handle the heightened demand being placed upon it. Here, Dexory, the warehouse intelligence and automation specialist, demonstrates what the transformation of a logistics operation looks like at scale with a leading automotive manufacturer.

Speed and accuracy are the lifeblood of modern manufacturing logistics. Manufacturers face mounting pressure to deliver on tighter schedules, adapt to fluctuating demand and navigate global disruptions. With the rise of e-commerce and just-in-time production, and compounded by customer expectations for near-instant delivery, the industry is shifting to prioritise agility and precision like never before.

Manufacturers need logistics operations to be robust enough to withstand these pressures while maintaining efficiency. Rapid, data-driven decision-making has become essential to ensure that raw materials, components and finished goods move seamlessly through the supply chain. Timely insight, enabled by real-time data and advanced analytics, sits at the heart of that transformation.

From data to intelligence: turning insight into action

Collecting data is only part of the challenge. The true value of that data lies in turning it into actionable intelligence; a continuous, real-time picture of what is actually happening on the warehouse floor, rather than a periodic snapshot.

The gap between data and actionable intelligence has left many manufacturers exposed. Traditional cycle counts, manual stock checks and infrequent audits meant that, for most of the year, operations were making decisions based on data that was hours, days, or even weeks out of date. In just-in-time environments, that gap is where production delays begin, where expedited shipments are triggered, and where confidence in replenishment decisions quietly erodes.

Digital twins, AI-powered decision-making and predictive analytics are now closing that gap. Rather than reacting to problems once they surface, manufacturers can anticipate disruptions, optimise inventory levels and act on real-time operational context before issues ever reach the production line.

Ground truth in practice: the Stellantis story

The experience of Stellantis, one of the world’s leading automotive manufacturers, shows what this transformation looks like at scale. Operating highly sophisticated production environments across multiple global facilities, Stellantis sought to strengthen inventory integrity and unlock greater efficiency across its warehouse operations.

At its Sterling Heights Assembly Plant, Stellantis partnered with Dexory to deploy DexoryView, bringing continuous, real-time warehouse intelligence into daily operations. By combining autonomous, aisle-by-aisle robotic scanning with seamless WMS integration, Stellantis gained full visibility across their warehouse space, with wall-to-wall, floor-to-ceiling stock checks performed every day. Real-time inventory accuracy reached 99 per cent plus, supported by AI-powered insights that enabled proactive decision-making, which was all achieved with no infrastructure changes, no aisle closures, no disruption to production, and no upfront capital investment.

The results followed quickly. Stellantis saw a 26 per cent increase in warehouse integrity, reaching 99 per cent within two weeks of deployment. Inventory errors and warnings fell by 98 per cent, directly supporting uninterrupted production and confident replenishment decisions. Manual stocktake effort dropped by 95 per cent, freeing 47 hours per week to be reinvested into higher-value, performance-driven tasks. A single scan identified 37,800 previously unrecorded pallets, while expedited shipments and scrap loss fell by 77 per cent, a direct result of proactive verification replacing reactive correction. The investment itself was recovered within two weeks, simply through identifying misplaced stock that had previously gone undetected.

As one Senior Supply Chain Manager at Stellantis put it: “With DexoryView, we’ve moved from reactive firefighting to proactive planning. We now see exactly what’s in the warehouse and where it is, without delays, guesswork or manual rework.” The results were significant enough that Stellantis is now expanding DexoryView to five additional North American facilities through 2026, following full sign-off from plant and process engineering leadership.

Robotics as a strategic advantage

Stellantis’s experience reflects a broader shift already underway across manufacturing logistics, part of the wider move towards making the shift to intelligent warehouses. Robotics now achieve accuracy rates exceeding 99.9 per cent, minimising the errors in inventory tracking that can disrupt production in precision-dependent industries like automotive and electronics. Subscription-based adoption models mean manufacturers no longer need heavy upfront investment to benefit. Deployment can happen within days, not months, delivering immediate reductions in waste, error and labour cost.

Beyond physical tasks, robotics now double as data collection tools, offering manufacturers an always-on view of production efficiency and inventory levels. That real-time visibility allows teams to reduce downtime through immediate alerts on equipment or inventory issues, enhance accuracy by ensuring components arrive exactly where and when they’re needed, and optimise operations by pinpointing inefficiencies before they compound into costly disruption.

The shift from reactive to proactive

The throughline across both the broader industry trend and the Stellantis case study is the same: speed and certainty in decision-making are no longer differentiators, they are baseline requirements for competitive manufacturing. Operations still relying on periodic checks and manual processes are, by definition, managing reactively, i.e., responding to problems after they’ve already affected production.

Manufacturers who have closed the gap between assumption and reality are operating differently. Replenishment decisions are made with confidence rather than buffer stock. Production schedules hold because the components behind them are exactly where the system says they are. Audits no longer require halting operations, because the data has already been continuously verified. Achieving this level of confidence often begins with proven strategies for inventory accuracy.

Conclusion

Manufacturing logistics is undergoing a profound transformation, driven by the dual imperatives of speed and data intelligence. Stellantis’s results demonstrate what’s achievable when warehouse intelligence moves from concept to daily operation: faster decisions, fewer errors, and production lines that keep moving because the data behind them is finally trustworthy. For manufacturers still operating on assumption, the gap between that and reality is no longer a minor inefficiency, but a widening competitive disadvantage.