Automating Material Creation Processes

Learn how automations in data creation and stewardship can not only significantly reduce workloads but also measurably improve accuracy and completeness in data creation processes.

This interactive session is curated specially for asset-intensive enterprises, wherein Verdantis’ subject matter expert, Mr. Rohan Salvi, Associate Director at Verdantis, will showcase how “Bulk Creation” of material data from unstructured sources can bring operational excellence across Procurement, Asset Management & Production teams.

In this session, we will showcase how context-aware AI agents, trained on industry-specific materials, spare parts, MRO and production data can autonomously extract data from unstructured sources before reliably ingesting the data into ERP * EAM systems.

– Data Extraction

See how AutoDocAI can scour through thousands of unstructured documents at scale and create a system-ready structured dataset before it is ingested into Integrity© for L1 & L2 duplicate check, AI-based enrichment and data validation.

This can be done on unstructured documents like:
1. Supplier Catalogues
2. Equipment (Asset) BOMs
3. Legacy Supplier Invoices or POs
4. Technical Documents & Engineering Drawings

– Data Harmonization & Enrichment

See how extracted data from these documents can be standardized and enriched based on the taxonomy used at your organization through our purpose trained AI agent, AutoEnrichAI©.

For advanced use-cases, Integration with Supplier Catalogues and Digital Asset BOMs enables integrations of Materials (Item) master data with Asset & Supplier master

– Deduplication & Record Updates

Extracted Master Data Records are thoroughly checked with data records in the ERP master using proprietary AI agents.

If a material (Spare Part or Raw Material) record already exists, Integrity© will update the record.

If the material doesn’t exist, Integrity© will create one with the enriched information and data

Verdantis’ Material creation processes are among the most resilient and accurate in the industry, thanks to practical AI models, trained on billions of data points that directly adds value by optimizing MRO inventory levels, minimizing stockouts, eliminating maverick spending and automating procurement, supply chain and data management tasks.