IFS.ai Copilot for Request for Quotation (RFQ) Supplier Selection helps procurement professionals identify and select the most suitable suppliers when creating and managing RFQs within IFS Cloud. Instead of manually reviewing supplier lists, analyzing historical performance, or navigating multiple procurement pages, users can interact with Copilot to receive intelligent supplier recommendations and insights instantly.
This feature improves supplier selection by providing contextual suggestions based on procurement data, supplier history, and RFQ requirements. It helps ensure that the right suppliers are invited to participate in quotations, leading to better sourcing decisions and improved procurement outcomes.
IFS.ai Copilot can be used to ask both general questions across IFS Cloud and context-specific questions on
supported pages. For an overview of general capabilities by product area, refer to:
IFS.ai
Copilot for Product Areas
This documentation focuses on the context-specific capabilities available on supported pages.
This feature is designed for roles involved in sourcing and procurement, including:
IFS.ai Copilot is available from the Copilot panel in IFS Cloud.
Copilot for Supplier Quotation Evalutation is automatically activated when you opening Copilot onthe following pages:
Request for Order Quotation page: Procurement / Quotation / Order / Request for Order Quotation
The following pages include predefined propmts to guide you in creating relevant queries. These prompts are designed for the context of the page you are working on.
| Prompt | Description |
| Recommend suppliers based on perfect order percentage of order lines arrived within last year. | Identify suppliers with the highest perfect order performance by analyzing the percentage of order lines delivered within the last year that met all delivery, quantity and quality expectations. |
| Recommend suppliers based on previous purchased quantity within last year. | Recommend suppliers based on historical purchasing volume by identifying those from whom the largest quantities of the selected part were procured during the last year. |
| Recommend suppliers based on pricing of answered quotations within last year. | Analyze supplier quotations received during the last year and recommend supplier offering the most competitive pricing for similar procurement requirements. |
| Recommend suppliers based on quality percentage of order lines arrived within last year. | Recommend suppliers with the highest quality performance by evaluating the percentage of delivered order lines over the last year that met quality standards without defects or non-conformances. |
| Recommend suppliers based on rating and pricing of answered quotations within last year | Identify syppliers that offer the best overall value by balancing competitive pricing with supplier performance ratings from quotation responses received during the last year. |
| Recommend suppliers based on timely deliveries percentage of order lines arrived within last year. | Recommend suppliers with the strongest delivery reliability by analyzing the percentage of order lines delivered on or before the promised date during the last year. |
| Recommend suppliers with lowest carbon emmissions. | Identify suppliers with the lowest reported carbon emission to support sustainable procurement decisions and environmental responsibility objectives. |