Warehouses are increasingly pressured to cut costs, manage labor shortages, and maintain efficiency in a rapidly changing logistics landscape. This challenge is particularly evident in order-picking operations, the most labor-intensive and cost-driving process in warehouses, making it a prime target for optimization.
Warehouse digital twin mirrors warehouses’ physical environment and workflows, allowing warehouse managers to increase the efficiency of picking operations on day 1 and gain a better understanding of the processes through interactive visualizations.
Unlike traditional WMS, which often rely on basic rules for picking operations, Optioryx warehouse digital twin platform leverages advanced analytics and AI-powered algorithms to deliver optimized solutions tailored to specific warehouse needs.
OptiPick integrates data from existing management systems such as warehouse management systems (WMS), enterprise resource planning (ERP) systems, and other supporting systems.
While companies have the data within the systems, the challenge is in making it actionable. OptiPick enables warehouses to activate their data and extract valuable insights for data-driven decisions. A critical application of the Optioryx platform is its ability to instantly improve operational efficiency in picking processes with an add-on that integrates with existing software.
Optioryx offers a 2-component solution enabling warehouses to visualize, analyze, and optimize warehouse operations in an interactive digital twin through:
Aisle congestion analysis
Supply chains are becoming more complex and unpredictable, leaving warehouses to tackle questions about changing order profiles, increasing SKU volumes, and storage needs. By consolidating scattered data and turning it into actionable insights, digital twins support decision-makers in answering these questions by linking physical and virtual environments, providing visibility into operations.
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