Sold by: Verusen
Deployed on AWS
AI-driven materials intelligence platform, purpose-built to understand MRO and spare parts data to ensure you have the right material, at the right place, at the right time.
Overview
Verusen is a cloud-based, AI-driven solution that optimizes MRO spare parts and associated supply and inventory strategies to transform materials management across manufacturing sectors including energy, food & beverage, and CPG.
Verusen is based in Atlanta Tech Square and delivers significant savings opportunities through inventory deduplication, revamped stocking policies, and enterprise collaboration.
Verusen helps Fortune 500 manufacturers:
- Optimize inventory and harmonize data
- Drive better sourcing decisions
- Minimize unplanned production downtime
- Identify and reduce duplicate materials
- Fuzzy-logic search for enterprise-wide materials visibility
- Share excess materials across facilities
- Consolidate and reduce inventory through centralized storerooms and supply hubs
- Disposition slow moving and obsolete inventory
Highlights
- Realize 10-20% reduction in working capital invested in MRO inventory
- We ingest your data as is to deliver transformational outcomes, without intensive data cleansing projects
- We help procurement & ops teams get on the same page by taking ownership of inventory recommendations
Details
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Delivery method
Deployed on AWS
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Dimension | Description | Cost/12 months |
|---|---|---|
Annual Commit | Annual Commit of Trusted Material | $240,000.00 |
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AI generated from product descriptions
AI-Driven Data Intelligence
Utilizes artificial intelligence to understand and analyze MRO and spare parts data for materials visibility and optimization across enterprise systems.
Fuzzy-Logic Search Capability
Implements fuzzy-logic search functionality to enable enterprise-wide materials visibility and identify duplicate or similar materials across facilities.
Inventory Deduplication and Harmonization
Identifies and eliminates duplicate materials in inventory while harmonizing data across multiple facilities and storerooms.
Data Ingestion Without Cleansing
Processes raw data as-is without requiring intensive data cleansing projects to deliver optimization outcomes.
Supply Chain Optimization
Optimizes MRO spare parts inventory, stocking policies, and supply strategies to minimize unplanned production downtime and reduce slow-moving or obsolete inventory.
Model-Driven Architecture
Uses model-driven architecture to accelerate delivery and reduce complexities of developing enterprise-scale AI applications.
Data Integration and Management
Ingests and manages all relevant data sources from existing internal and external data sources to generate predictive insights.
Entity and Context Extraction
Identifies, extracts, and manages entities and contextual data for enhanced data processing.
AWS Service Integration
Leverages multiple AWS products and capabilities including Amazon EKS, RDS, Bedrock, and SageMaker for building and deploying ML models.
Real-time Operational Visibility
Cloud-based access to real-time information across all stages of production from raw materials to finished goods, accessible from web or mobile devices.
IoT-Powered Tracking and Monitoring
IoT technology integration for automated tracking of work-in-progress, inventory management, asset tracking, and shipment monitoring.
Intelligent Alert System
Automated intelligent alerts and advanced analytics that proactively identify and mitigate potential operational risks and disruptions.
Multi-Domain Operations Management
Unified management of Work-in-Process, Inventory, Assets, and Shipments across manufacturing operations.
Scalable Cloud-Based Architecture
Flexible and scalable cloud-based solution designed to support businesses of varying sizes across multiple industries.
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