Use of AI and Redwood in Oracle Fusion Sourcing

Oracle clode has introdued the user of AI and Redwood in most of the core offering.The combination of Artifical intelligence and Redwood provides user a very good user experience while using Oracle Fusion CLoud . Let us discuss few fetures of AI and Redwood in Sourcing and PLM modules

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Supplier Tab-Use of AI and Redwood

Supplier Tab → AI helps discover new suppliers by recommending potential suppliers based on item
descriptions and product categories, expanding the supplier base and increasing competition.

Cover Page-Use of AI and Redwood

AI generates a negotiation synopsis, summarizing key details like title, type, outcome,and item categories. Users can input essential details, and AI drafts the cover page, making the negotiation creation process faster and easier.

Requirements Section

AI helps users generate relevant negotiation requirements based on supplier qualifications, technical
expertise, financial stability, and compliance factors.

• The “AI Assist” button (highlighted in red) suggests predefined questions, reducing manual effort
  in drafting requirements

Generate and Add Requirements (25A)

Users can generate review and modify AI-suggested requirements before adding them to the
negotiation.

• The edit icon (highlighted in red) allows users to customize suggested questions.
• The “Add” button (highlighted in red) confirms and includes the requirements in the negotiation
  process

How To Enable:

Go to Manage Negotiation Styles > Create a new negotiation or edit an existing one > Enable AI Assist
under the Controls tab (highlighted in red

Messaging Tab → AI assists suppliers in drafting professional and neutral responses, ensuring effective
communication during negotiations.

Supplier Registration Page Attachments Section → AI summarizes supplier registration documents, making approvals faster and reducing manual effort

Purchase Order Page
Order Summary Section → AI summarizes key PO details (supplier, amount, delivery, approvals) for quick review, faster decisions, and error detection.

Supplier Discovery Page
AI-Driven Search → AI helps procurement teams find new suppliers by analyzing procurement needs, item
descriptions, and historical supplier data. It is available in the following areas of Oracle Procurement.

• Negotiation Page → AI suggests potential suppliers when creating a negotiation event.
• Sourcing Module → AI identifies suitable suppliers for RFQs (Request for Quotations) and sourcing
  events.
• Supplier Qualification Management (SQM) → AI helps evaluate new suppliers based on past
  performance, certifications, and risk factors.
• Supplier Registration & Onboarding → AI assists in screening and recommending suppliers
  during the registration process.
  
  Supplier Qualification Page Questionnaire Section → AI suggests qualification questions related to governance, financial health,and sustainability.

Product Page (Oracle Product Lifecycle Management – PLM Module)-Use of AI and Redwood

1. AI in the Product Page (Oracle PLM) creates accurate product descriptions based on
   specifications, attributes, and historical data, improving searchability with SEO (Search Engine
   Optimization) keywords.
2. It assigns categories and attributes using product characteristics, industry standards, and
   similar items while also detecting duplicates and analyzing images for correct classification. This
   makes product management faster, easier, and more accurate.
   Warehouse Management System (WMS)
3. Put away Rules Page → AI-driven predictive slotting recommends optimal storage locations based
   on market basket analysis.
4. Order Fulfillment Dashboard → AI predicts order cycle times and potential delays, helping
   improve warehouse efficiency.
   Supply Chain Planning
5. Demand Forecasting Page → AI predicts future product demand by analyzing historical data and
   market trends, enabling better inventory management and reducing stockouts or overstock situations.
6. Inventory Optimization Page → AI recommends optimal inventory levels by considering factors
   like lead times, demand variability, and service level targets, helping to minimize holding costs while
   ensuring product availability.
   Finance
7. Invoice Processing Page → AI automates the extraction and processing of data from supplier
   invoices, reducing manual intervention and accelerating the procure-to-pay process.
8. Account Reconciliation Page → AI automates complex reconciliations by matching transactions,
   saving valuable time and reducing errors.
   AI-Powered Digital Assistant
   SCM Guidance Page → AI answers user queries about policies, regulations, and supply chain
   standards.

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