
Web*VMI
A cloud service for secure data sharing and automated supply chain management, optimizing inventory, production, and demand/supply data storage.
Overview
Web*VMI™ is a cloud-based Vendor Managed Inventory service designed to enhance supply chain management by securely collecting, transforming, and sharing data between multiple sources and destinations. It enables customers to store and share plant inventory, production, and demand/supply data on the cloud, facilitating an automated supply chain.
The service is part of Yokogawa and KBC's Operational Excellence Transformation, which aims to optimize business automation through consulting and digital technology. Web*VMI™ addresses key operational competencies in supply chain optimization, including:
- Term Contract Planning: Evaluating long-term contract obligations commercially and economically.
- Supply Chain Planning: Optimizing the hydrocarbon supply chain economically across various time horizons.
- Price Deck Formulation: Generating price forecasts for feedstock and products.
- Supply Chain Scheduling: Scheduling operations while considering logistical constraints.
- Commercial Contracting: Developing competitive contract terms for feedstocks and products.
- Inventory Management: Measuring and reconciling product and raw material balances.
Yokogawa's strategy involves digitalizing operations from supply to distribution, aiming for Just-in-Time manufacturing and delivery with minimal inventory. This approach enhances customer and supplier experiences, extends optimization horizons, and improves information mobility and predictive insights.
Web*VMI™ also offers solutions to common challenges such as excess inventory, inappropriate stocking, and labor costs related to inventory management. By providing an exclusive website for inventory monitoring, alert setting, and ERP system integration, it allows suppliers to adjust material provision based on plant status.
Key benefits of using Web*VMI™ include sustaining market supply, increasing supply chain efficiency, reducing excess inventories by 30-60%, and cutting delivery costs by 5-25%.

