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Real-Time Data Emerges as Essential Layer in Warehouse Automation

Real-Time Data Emerges as Essential Layer in Warehouse Automation

Recent insights from Oana Jinga, Co-Founder & Chief Commercial & Product Officer at Dexory, highlight the critical role of real-time data in warehouse automation. Despite advancements in technology, many warehouses still operate on outdated information, leading to inefficiencies in decision-making and operations. The next significant improvement in warehouse performance will stem from integrating accurate, continuously updated operational intelligence rather than merely increasing automation. The reliance on outdated data creates a disconnect between what warehouse systems perceive and the actual conditions on the floor. This gap can hinder the effectiveness of automated systems, which depend on accurate inputs to optimize operations. By enhancing data visibility, warehouse teams can make informed decisions, respond swiftly to changes, and better utilize resources, ultimately improving overall productivity. As supply chains face increasing pressures and fluctuating demands, the future of warehouse operations will hinge on the integration of automation with real-time data intelligence. This approach will enable warehouses to proactively address challenges, ensuring that decisions are based on the most accurate understanding of current conditions, thus enhancing operational resilience.

AI AMR and AGV Computing and Scanners IT in Logistics Magazine Features WMS & SCM Software
Retail Warehouses Must Embrace Real-Time Data to Avoid Operational Pitfalls

Retail Warehouses Must Embrace Real-Time Data to Avoid Operational Pitfalls

Retail warehouses face unprecedented challenges due to outdated data, leading to significant operational inefficiencies. With rising customer expectations and thin profit margins, fulfillment operations must be faster and more accurate. However, many retailers are unaware of the discrepancies between their warehouse management systems and actual inventory, resulting in costly errors. The impact of inaccurate inventory data is profound, contributing to a 6.5% loss in global retail sales due to inventory distortion. This issue is exacerbated by the reliance on stale data, which leads to poor decision-making and increased operational costs. Research indicates that 71% of shoppers are less likely to return after a negative fulfillment experience, highlighting the urgent need for improved visibility in warehouse operations. To address these challenges, retailers are turning to solutions like Dexory, which utilizes autonomous mobile robots to provide continuous inventory intelligence. This technology has demonstrated significant improvements in inventory accuracy and cost reduction, as seen in the case of Vente-unique.com. As the retail landscape evolves, the necessity for real-time data in warehouse operations becomes increasingly critical.

AMR and AGV Computing and Scanners eFulfilment IT in Logistics Storage & Racking Warehousing
KION showcases physical AI turning real-time data into real-world warehouse performance at CeMAT Shanghai

KION showcases physical AI turning real-time data into real-world warehouse performance at CeMAT Shanghai

At CeMAT Shanghai, KION Group presented its cutting-edge physical AI solutions, emphasizing a partnership with NVIDIA and Accenture aimed at advancing warehouse automation. The event showcased innovative AI-driven industrial trucks and digital twin technology, designed to optimize supply chain operations and enhance efficiency in real-time. This collaboration reflects KION's commitment to integrating advanced technology into logistics, addressing the growing demand for smarter and more efficient warehouse solutions in the industry.

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