AIOPS.D™ Data Management Vendor + Material leverages AI and ML models to automate, create, validate, and correct vendor and material data fields.

The solution is enterprise resource planning (ERP) agnostic, which helps to match existing vendors and materials while concurrently generating new ones using third-party and historical data.

It also preforms data management tasks such as creating, updating, or deleting a master record autonomously. This solution helps to establish clean and accurate master data records.

Key features:

• Self-generating algorithms generate data based on user behavior and historical data
• Integrated data vault provides a comprehensive data repository
• Business rule repository provides best-in-class industry data management rules

Value delivered:

• Up to 85% reduction in time spent on troubleshooting
• Up to 75% reduction in data operations costs
• Streamlined data management processes, reduced lead times, and higher data quality

AIOPS.D™ Autonomous Plant Data Management, enhanced by AI/ML and GenAI, not only simplifies and speeds up the management and maintenance of ERP data, but also leverages autonomous processes for task execution.

The solution ensures efficient, error-free operations through the configuration, validation, and activation of materials.

Key features:

• Uses historical data for future configuration and field pre-population
• Leverages a Sentence Transformer model to collect user input, then suggest existing plant configurations, based on weighted similarity score across key attributes
• Enables non-deterministic recommendations based on calculated similarity
• Incorporates ChatGPT-4 and NLP for intuitive chat interface

Value delivered:

• 60%+ reduction in manual user touchpoints
• 80%+ reduction in processing screens
• Real-time connectivity established with SAP