Workforce Efficiency Optimization
Business Problem:
Labor costs are among the top three operational expenses for warehousing, logistics, distribution, and manufacturing operations. To optimize labor costs, it is crucial to anticipate workloads, monitor real-time efficiencies, and allocate resources accordingly to maximize productivity and throughput. However, the challenge lies in the timely availability of data, visibility into various data points, and the assimilation of complex variables for decision making.
Business Solution:
Diwo Catalyst provides real-time recommendations every 15 minutes based on the latest status of workload, processed and incoming resources, and resource movements to optimize throughput and efficiency. Using a complex data and AI/ML pipeline that synthesizes various model outputs, Diwo Catalyst delivers cohesive recommendations to control tower supervisors. This enables proactive labor allocation, drastically improving decision-making and overall productivity. The AI Enterprise Ready platform ensures secure, scalable operations, combining structured and unstructured data sources. The Semantic Knowledge Graph captures nuanced meanings, providing accurate insights, while the system continuously learns to offer actionable recommendations and prompts.
