7% increased efficiency by using ML to optimize the purchase order process for a Fortune Global 500 chemical company

Key Outcomes
7% Savings Across Spend Categories
Optimized purchase orders with ML, leading to notable cost savings.
50% Workforce Efficiency Gains
Increased productivity through automated invoice processing.
80% Model Accuracy
Improved vendor invoice accuracy using ML and ICR technologies.
Sustained Savings with Actionable Intelligence
Enhanced procurement decisions and ongoing cost reductions from data-driven insights.
Overview

A Fortune Global 500 chemical company struggled with inefficient, error-prone purchase order processes and limited data insights. Aligned Automation implemented a machine learning (ML) and intelligent character recognition (ICR) solution to extract data from vendor invoices and optimize the free-form text purchase order process. The solution led to 7% savings, 50% efficiency gains, and sustained cost reductions through actionable intelligence and improved data accuracy.

Challenges

  • A leading chemical company needed a new way to analyze and audit vendor invoices in order to make better cost-saving decisions in procurement.  
  • Invoices were saved as images in SAP; purchase order lines were in free-form text.
  • Lack of analyzed data and missed opportunities
  • Time consuming
  • Error prone

Value Delivered

We developed an ML & ICR-powered solution to extract information from diverse vendor invoice images, built an integrated data model, and provided actionable intelligence to optimize free form text (FFT) PO process.

Capabilities

Data Modernization

About Client

A Fortune Global 500, one of the largest chemical companies in the world. This $47 billion multinational chemical company employs around 19,000 people and is a global leader in innovation, consistently developing high-quality chemicals, polymers, fuels, and technologies.

Case studies

Chemicals

175% increase in user adoption with advanced analytics and workflow automation in a proprietary procurement platform

Technology

25% increase in self-help dispatches using a data-driven approach to improve customer service for a Fortune 500 tech company

Let us know your goals. We'll help you get there faster.

Let us know your goals. We'll help you get there faster.