Global company dramatically improves invoice intake process with Catalytic
Customer Company Size
Large Corporate
Country
- Worldwide
Product
- Catalytic
Tech Stack
- Optical Character Recognition (OCR)
- Browser Automation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Functions
- Procurement
Services
- System Integration
About The Customer
The customer is a global company operating in the safety industry. The company serves over 100 countries and has a workforce of 15,000 employees. They cater to a vast customer base of 70,000+ customers. One of the client’s teams handles vendor invoicing for multiple business units, processing invoices from more than 30 different systems. With more than a thousand invoices coming in per month, the team was struggling with the time-consuming task of collecting and processing data sent from numerous systems and in a variety of formats.
The Challenge
The company’s vendor invoice intake process was too time-consuming, repetitive, prone to error and delays. One of the client’s teams handles vendor invoicing for multiple business units, processing invoices from more than 30 different systems. With more than a thousand invoices coming in per month, it was time-consuming to collect and process data sent from numerous systems and in a variety of formats. Employees had to manually extract data from every document. Analyzing data, identifying missing information, and reuploading invoices was time-consuming and repetitive. The required bandwidth to pull invoices from various systems would stretch when the volume of invoices would increase, putting more stress and pressure on each team member. A high volume of invoices meant the team was more prone to errors, which slowed processing times and created billing delays.
The Solution
Catalytic helped the team design a new invoice intake process that automated 90% of the manual work. The client selected the system with the largest volume of invoices for the first automation launch. Catalytic’s service delivery team mapped out the existing, exhaustive 95-step manual process. The new automated process involved vendors sending an invoice, which was then scanned using Optical Character Recognition (OCR). The system parsed out requisite pieces of information and used browser automation actions to navigate and log into the system, locate the correct order, upload the invoice information, confirm invoice information, and update the Catalytic data table with exceptions.
Operational Impact
Quantitative Benefit
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