chemicals
7% increased efficiency by using ML to optimize the purchase order process for a Fortune Global 500 chemical company
INDUSTRY
chemicals
INDUSTRY
Retail
INDUSTRY
Retail
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.
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.
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.
10+
Years of delivery excellence
10+
Years of delivery excellence
10+
Years of delivery excellence
Capabilities
Data Modernization
CAse studies
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