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.

Real Entire Case Study

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

Life Sciences & Healthcare

95% Productivity Boost Accelerating Time-to-Market and Driving Seamless Engagement Across Product Lifecycle

Chemicals

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

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