News in the Channel - issue #26

DATA MANAGEMENT IN WAREHOUSING AND LOGISTICS BUSINESSES

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For logistics customers, AI is a critical component of transportation strategies. AI can be used to learn about constraints, such as carrier regulations, available capacity

in what they want from their data management solutions. “Customers are looking for data management solutions that boost efficiency, reduce costs and improve overall supply chain agility,” says Becky. She adds that customers tend to have several key priorities. These include smarter inventory management. “Businesses need tools that analyse past sales trends and real-time demand to prevent stock shortages and excess inventory, cutting storage costs and improving cash flow,” she says. Optimised warehousing is another priority. “Data-driven insights help companies design efficient warehouse layouts, reducing travel time, maximising storage and streamlining workflows for faster order processing and lower labour costs,” Becky notes. “Additionally, intelligent algorithms can boost picking accuracy by analysing order trends and item popularity, minimising worker movement and increasing efficiency.” Becky adds that real-time analytics allow logistics teams to refine delivery routes, cut transport costs and improve delivery speed and reliability, especially within complex distribution networks. Improved data security and compliance is another consideration. “With data privacy regulations tightening, businesses need secure data management systems that comply with legal requirements such as GDPR and protect against security breaches,” she says.

Finally, integration with IoT is often required. “IoT-powered maintenance tracking helps companies prevent equipment failures, cutting downtime and repair expenses while keeping warehouse operations running smoothly,” says Becky. “Companies also expect solutions that integrate effortlessly with existing ERP, WMS and TMS systems while offering the flexibility to scale as the business grows.” Mohib Rahmani, managing principal and head of the data and AI team (IRIS) at Argon & Co, adds that warehousing and logistics teams increasingly see data as a strategic asset, rather than just an operational byproduct. Within this, he sees several trends emerging. “First, there is a clear shift toward cloud storage and hybrid integration with on-site data,” he says. “Organisations are moving to platforms that can handle large volumes of data while delivering real-time insights. “The sector has also seen a proliferation of self-service dashboards that empower non-technical users to gain insights without steep learning curves. This is a positive development that could help redress the growing skills gap affecting multiple industries.” Power of AI Another major trend is the increased use and adoption of artificial intelligence (AI) across the supply chain.

and hours of service, and properly plan shipments.

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Chris Cunnane supply chain product marketing manager

intersystems.com/uk/

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