





A Fortune Global 500 chemical company faced inefficiencies in procurement due to manual processes, PO delays, and excessive rework. Aligned Automation transformed the Procure-to-Pay process by automating workflows, implementing process mining, and using machine learning for invoice accuracy. The solution led to $2M in annual savings, a 12% increase in buyer efficiency, and enhanced real-time decision-making capabilities.
This global company is one of the largest in the plastics, chemicals, and refining industries. It is publicly traded and features on the Fortune Global 500 list. The company has a presence in over 100 countries and multiple manufacturing sites across continents.
A Fortune Global 500 chemical company faced significant inefficiencies across its procurement operations.
Manual processes, delayed purchase order (PO) execution, and frequent rework created bottlenecks that slowed down operations and reduced overall productivity. Limited visibility into performance metrics made it difficult to identify root causes and drive meaningful improvements.
Aligned Automation implemented a data-driven procurement optimization approach, combining process mining, automation, and intelligent data capture to streamline operations.
By consolidating key metrics and introducing end-to-end visibility, the organization was able to identify inefficiencies and take targeted action to improve performance.
Automation was applied across critical workflows, including PO execution and invoice processing, to reduce manual effort and increase accuracy.
Key capabilities included:
Procurement operations shifted from manual and reactive to streamlined and data-driven.
Teams gained visibility into performance, reduced rework, and accelerated PO execution, improving efficiency and enabling more proactive, informed decision-making across the procurement function.


