Rinnai Australia uses Oracle Cloud Infrastructure (OCI) Document Understanding to automate customer purchase order processing, reducing its daily processing workload by approximately 20%. Explore more Oracle customer stories highlighting how AI-powered data extraction, ERP integration, and automated order processing help businesses reduce manual work and free employees for higher-value tasks: https://social.ora.cl/6006BG7oda
Rinnai Australia, a manufacturer and distributor of heating, air conditioning, and renewable products in Australia, uses Oracle Cloud Infrastructure (OCI) Document Understanding to automate customer purchase order processing and reduce manual data entry.
With more than five decades of operations in Australia, Rinnai serves residential and commercial markets and processes more than 120,000 customer purchase orders annually. Many of these orders arrive through emails or scanned documents in different formats, requiring employees to manually extract and enter information. This time-consuming process created risks of data entry errors, affected processing cycle times, and contributed to challenges with product deliveries.
To address these challenges, Rinnai implemented OCI Document Understanding, an AI service that reads information from incoming customer documents and converts the extracted data into purchase orders. By training the AI model to identify the required information, Rinnai automated order creation while maintaining a familiar workflow through integration with its existing ERP platform.
According to Rinnai, automating customer purchase order processing has reduced its daily processing workload by approximately 20%. The company also reports improved data accuracy, reduced risk of errors, and greater employee productivity. By spending less time on repetitive data entry, employees can focus on higher-value activities while Rinnai improves integration across its business systems and works to meet customer delivery expectations.
In this customer story, hear how Rinnai Australia uses Oracle Document Understanding AI capabilities to streamline purchase order processing, reduce manual administrative work, and support more efficient operations.
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