Seacon deploys DexoryView across Maasbree warehouses

Seacon deploys DexoryView across Maasbree warehouses

Seacon Logistics has selected DexoryView for two warehouse sites in Maasbree, bringing real-time inventory visibility, digital twin capability, and automated data capture to 90,000m² of racked warehouse space.


IN Brief:

  • Seacon Logistics is deploying DexoryView across Zonneveld 1 and 3 in Maasbree.
  • The project covers around 90,000m² of racked ambient warehouse space.
  • The platform will support inventory accuracy, traceability, issue detection, and reduced manual counting.

Seacon Logistics has selected Dexory to deploy DexoryView across two warehouse locations in Maasbree, the Netherlands, as the company strengthens real-time warehouse data and operational control.

The deployment covers approximately 90,000m² of racked warehouse space at Zonneveld 1 and Zonneveld 3. The sites handle general cargo and fast-moving consumer goods under ambient conditions, placing inventory accuracy, traceability, and process consistency at the centre of daily performance.

DexoryView will provide a digital twin of the warehouse environment, supported by a photo archive and algorithm-driven insights based on live warehouse movements. The platform is designed to give operational teams a single, consistent view of stock, activity, and site conditions, reducing reliance on manual counting and incomplete inventory records.

Seacon is already seeing improvements in inventory accuracy and traceability, alongside reductions in errors and manual intervention. Access to high-frequency data is also designed to support earlier issue detection, more consistent execution, and faster decision-making across warehouse teams.

Ruud Timmermans, CEO at Seacon Logistics, said: “Real-time visibility into warehouse operations is essential to maintaining performance and service quality in increasingly complex supply chains. Dexory enables us to improve inventory accuracy and traceability while reducing manual effort. It also gives us up-to-date data that supports consistent decision-making and stronger operational control across our sites.”

Dexory’s wider platform uses autonomous robots and AI-powered analytics to scan warehouse environments, validate physical stock against system records, and identify discrepancies, damage risks, space inefficiencies, and other non-compliance issues. The company states that its robots can scan up to 10,000 pallet locations per hour, creating a data layer that can be used to improve stock integrity, racking visibility, space use, and warehouse flow.

The Seacon deployment sits within a broader change in warehouse automation investment. Companies are moving beyond equipment that simply accelerates movement — conveyors, sorters, autonomous mobile robots, and automated storage — towards systems that improve the quality of operational data itself. In large racked environments, inaccurate stock records create labour waste, service failures, rework, and safety exposure. Teams can spend hours checking locations that should have been trusted from the start.

Digital twin technology is gaining ground because it gives warehouse operators a live operating picture rather than a periodic audit. That distinction is becoming more important as labour availability tightens, order profiles become more variable, and customers expect greater traceability through outsourced logistics networks.

Oana Jinga, Co-Founder and Chief Commercial and Product Officer at Dexory, said: “Access to accurate, real-time data is critical for logistics providers operating at scale. By deploying DexoryView, Seacon Logistics is gaining continuous visibility into its warehouse operations, enabling faster decision-making, more efficient workflows and stronger operational performance.”

The partnership will continue through feedback and optimisation work, allowing Seacon to align the deployment with changing operational requirements. Its longer-term value will depend on how deeply real-time warehouse intelligence is embedded into daily management routines, exception handling, labour planning, and customer reporting.


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