Higher education organizations need to contain costs. The automation of supply chain is a key element in operational efficiency by leveraging data analytics and proactively identifying meaningful patterns in the systems, people, activities, and resources involved.
Goals and Objectives
Organizations will improve real-time visibility, evidence-based sourcing, and purchasing decisions; reduce touch points in the supply chain model such as for requisitions; and optimize availability, utilization, cost of products and services, purchase orders, and invoicing.
ERP, supply chain, inventory, asset, materials management applications and systems, storage and warehouse-integrated modules, dashboards, and reporting, predictive analytics, AI, and ML
Use Case Summary
Real-time supply chain data analytics, demand forecasting, and inventory tracking help create supply standardization, inventory optimization, accurate visibility, and charge capture.