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Prompt-Driven Material Data Management

Is your cross-platform data management strategy keeping stakeholder and vendors aligned?
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Imagine...

Imagine a Business Unit’s Analyst, who is able to eliminate phone calls and email-based data aggregation, with data governance, collection and resolution being managed through chatbot-based workflows. Vendor attributes and owners are cleanly aligned, with automated prompts across the diverse stakeholders to keep records up to speed.

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Today’s Workforce/ Process Snapshot

Material Data Management for new material procurement, today, requires a complex work process across a multitude of internal groups, including Finance, R&D, Sales, Supply Chain, and Procurement. The Business Analyst today frequently is faced with managing and resolving inconsistent, inaccurate, or incomplete data entries, made more complex by non-standardized data governance or data approvals processes. The net result is poor reference data, manual data population, missed vendor negotiating opportunities, as well as an inconsistent, internal book of record.

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Solution Components

Solution components include:

– Coherent material data management supported by AI/ML-powered chatbot based workflows
– Self-generating, touchless, AI-driven Master Data management
– Self-healing data supported by ML-driven data quality standards
– An Immutable Master Data Ledger, featuring intelligent, automated, trusted, and validated data governance structure across the enterprise
– Cross-ERP support

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Target Outcomes

Supplier Data Management can deliver:

– Reduced effort for Data Governance
– Data TCO reductions
– AI/ML-based predictive algorithms to automate pre-population of high volumes of data attributes