This white paper looks at how deploying a cognitive, self-learning RPA bot helped one of the largest automobile manufacturers in the world to overcome challenges in invoice processing. It recounts the entire experience, roadblocks and benefits.
It also introduces the unique methodology, combining rule-based and machine learning techniques, used to read and assimilate structured and unstructured data.
Highlights of this whitepaper include:
Combining template-based and machine learning techniques to read and assimilate invoice data
Seamless processing of a wide range of invoices, while accommodating customer-specific customizations
Setting up Jiffy data interface to correct erroneous data and feed the corrected data into a training set to incrementally reduce manual intervention
Achieving 85% Automation level in both OCR and non-OCR data processing