Exploring NLG to generate standardized commentaries and key insights.
CLIENT: GLOBAL INDUSTRIAL AUTOMATION MAJOR
USE CASE: PERFORMANCE REPORTING
- The country performance report was generated by the bot in a tabular format.
- It did not contain any insights, details or commentary on performance.
- Each business user extracted data from the SAP system and created reports based on the controllers’ preferences.
- The NLG implementation was done using the vPhrase’s Phrazor platform in order to automate commentary generation.
- It fetches data from the SAP system, assesses it, identifies key insights, and generates human-like narratives.
- Phrazor enable controllers to perform consistent review and analysis across divisions and business units.
- Finance Controllers are faster able to identify performance gaps and initiate course correction
- Seamless integration of NLG for report generation
- Standardized and simplified KPI definition for commentary generation
Potential time saved every month
Earlier, the reports were generated
and distributed automatically
Man hours left for higher value tasks