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What is Oracle Supply Chain Collaboration?

Recognize, evaluate, and resolve disruptions within your organization and with key trading partners. By implementing smart process automation, you can significantly boost the adaptability and efficiency of your entire supply chain. Achieving comprehensive visibility across multiple levels of supply chain execution is crucial. Work closely with suppliers by sharing future order forecasts, evaluating their commitments, and integrating these insights into your planning strategies. Automatically update the progress of contract manufacturing work orders to reflect the current state of outsourced production. Allow suppliers to place orders and confirm shipments for both consigned and non-consigned materials at your facilities. Offer a visual overview of metrics related to collaborative forecasting and vendor-managed inventory across all suppliers involved. Highlight any discrepancies in forecast commitments and inventory limits, enabling the possibility of revision requests or even making commitments on behalf of the supplier. Ensure the latest supply information flows seamlessly among various tiers of suppliers through B2B messaging, online platforms, and web services, keeping all parties well-informed and coordinated. By optimizing these procedures, organizations can greatly enhance collaboration and overall operational effectiveness, leading to more resilient supply chain management.

What is AWS Supply Chain?

Mitigate the dangers associated with excessive or insufficient inventory levels to boost customer satisfaction while reducing costs linked to surplus stock. Achieve real-time clarity within your supply chain without the need for platform changes, upfront payments, or lengthy contracts. Harness machine learning (ML) to enhance decision-making in your supply chain through actionable insights. Evaluate the overall health of your supply chain network and receive insights driven by ML that pinpoint potential inventory issues such as overstock situations or shortages. Quickly set up AWS Supply Chain by utilizing ML models that can interpret, extract, and transform diverse data into a unified data lake. Explore recommended strategies that can mitigate risks, along with integrated collaboration tools that facilitate faster consensus and decision-making. Generate more accurate demand forecasts to reduce shortages and improve demand planning accuracy with ML models that adapt and refine over time for superior results. By tackling these inventory-related challenges, organizations can not only optimize their operations but also build stronger connections with their clientele, ultimately leading to enhanced business performance.

Media

Media

Integrations Supported

Oracle Supply Chain Management (SCM)

Integrations Supported

Amazon Q
Amazon Q Business
Amazon Web Services (AWS)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/scm/supply-chain-planning/supply-chain-collaboration/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/aws-supply-chain/

Categories and Features

Categories and Features

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