Supplier Optimization Opportunity Finder agent
This Sourcing and Procurement Operations agent analyzes spend data to identify supplier optimization opportunities across non-preferred supplier spend, unconsolidated spend, spend fragmentation, and supplier performance and risk. It can also answer follow-up questions about spend data, contracts, savings opportunities, pipeline projects, and savings calculations.
Workflow
- When run as a scheduled job, use the SupplierSpendAnalyzer tool to scan for non-preferred supplier spend and unconsolidated spend, and create savings opportunities.
- When a user creates a pipeline project from a savings opportunity, show pre-filled details, collect changes and priority, then run the Create Pipeline Project tool after confirmation.
- Offer to generate a chat summary of the session and, if the user agrees, post it to the pipeline project's work notes.
- For any other question about spend data, contracts, savings opportunities, pipeline projects, or savings calculations, run the SpendIntelligenceTool to answer.
|
Field |
Description |
|---|---|
|
Allow third party to access this AI agent |
When enabled, third-party AI agents can use this agent. This value is off (false) by default. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the External discoverable field. |
|
Allow AI specialists to access this AI agent |
When enabled, AI specialists can use this agent. This value is off (false) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the Specialist enabled field. |
|
Manage long-term memory |
When enabled, all previous user interactions are used as context for the LLM. This value is off (false) by default. This setting is defined by the sn_aia.ltm.enable_long_term_memory system property. For more information, see ServiceNow Otto AI agents reference. |
|
Tools |
SupplierSpendAnalyzer Create Pipeline Project SpendIntelligenceTool |
|
Allowed user roles The specific user roles that can access this AI agent. |
sn_spend_gen_ai.now_assist_fulfiller, sn_shop.procurement_specialist, sn_spend_mgmt.category_manager_admin |
|
Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. |
sn_spend_gen_ai.now_assist_fulfiller, sn_shop.procurement_specialist, sn_spend_mgmt.category_manager_admin |
|
Triggers |
Optional. None defined by default. An admin can specify triggers if desired. For more information, see Add a trigger to an AI agent. |
|
Channels |
Configure an assistant for Virtual Agent or ServiceNow Otto panel using Assistant Designer. |
|
Used in agentic workflows |
Savings Opportunity Discovery |
Parent Topic:Sourcing and Procurement Operations AI agents
--- title: Supplier Optimization Opportunity Finder agent description: This Sourcing and Procurement Operations agent analyzes spend data to identify supplier optimization opportunities across non-preferred supplier spend, unconsolidated spend, spend fragmentation, and supplier performance and risk. It can also answer follow-up questions about spend data, contracts, savings opportunities, pipeline projects, and savings calculations. locale: en-US canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/spo-supplier-optimization-opportunity-finder-agent-ai-agent.html release: brazil topic_type: reference last_updated: "2026-09-30" reading_time_minutes: 2 breadcrumb: [Sourcing and Procurement Operations AI agents, Sourcing and Procurement Operations, AI agents library, AI agents and agentic workflows, Enable AI Experiences] --- # Supplier Optimization Opportunity Finder agent This Sourcing and Procurement Operations agent analyzes spend data to identify supplier optimization opportunities across non-preferred supplier spend, unconsolidated spend, spend fragmentation, and supplier performance and risk. It can also answer follow-up questions about spend data, contracts, savings opportunities, pipeline projects, and savings calculations. ## Workflow 1. When run as a scheduled job, use the SupplierSpendAnalyzer tool to scan for non-preferred supplier spend and unconsolidated spend, and create savings opportunities. 2. When a user creates a pipeline project from a savings opportunity, show pre-filled details, collect changes and priority, then run the Create Pipeline Project tool after confirmation. 3. Offer to generate a chat summary of the session and, if the user agrees, post it to the pipeline project's work notes. 4. For any other question about spend data, contracts, savings opportunities, pipeline projects, or savings calculations, run the SpendIntelligenceTool to answer. <table id="table_j5q_ljc_tkc"><thead><tr><th> Field </th><th> Description </th></tr></thead><tbody><tr><td> Allow third party to access this AI agent </td><td> When enabled, third-party AI agents can use this agent. This value is off \(false\) by default. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the External discoverable field. </td></tr><tr><td> Allow AI specialists to access this AI agent </td><td> When enabled, AI specialists can use this agent. This value is off \(false\) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the Specialist enabled field. </td></tr><tr><td> Manage long-term memory </td><td> When enabled, all previous user interactions are used as context for the LLM. This value is off \(false\) by default. This setting is defined by the **sn\_aia.ltm.enable\_long\_term\_memory** system property. For more information, see [ServiceNow Otto AI agents reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/na-aia-reference.md). </td></tr><tr><td> Tools </td><td> - **Script** SupplierSpendAnalyzer Create Pipeline Project SpendIntelligenceTool </td></tr><tr><td> Allowed user roles The specific user roles that can access this AI agent. </td><td> sn\_spend\_gen\_ai.now\_assist\_fulfiller, sn\_shop.procurement\_specialist, sn\_spend\_mgmt.category\_manager\_admin </td></tr><tr><td> Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. </td><td> sn\_spend\_gen\_ai.now\_assist\_fulfiller, sn\_shop.procurement\_specialist, sn\_spend\_mgmt.category\_manager\_admin </td></tr><tr><td> Triggers </td><td> Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/add-trigger-aia.md). </td></tr><tr><td> Channels </td><td> Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/conversational-interfaces/configure-now-assist-va.md). </td></tr><tr><td> Used in agentic workflows </td><td> Savings Opportunity Discovery </td></tr></tbody> </table>Learn more about Sourcing and Procurement Operations at [Sourcing and Procurement Operations](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/source-to-pay-operations/psm-overview.md). **Parent Topic:**[Sourcing and Procurement Operations AI agents](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/spo-ai-agents-overview.md)
| title | Supplier Optimization Opportunity Finder agent |
| description | This Sourcing and Procurement Operations agent analyzes spend data to identify supplier optimization opportunities across non-preferred supplier spend, unconsolidated spend, spend fragmentation, and supplier performance and risk. It can also answer follow-up questions about spend data, contracts, savings opportunities, pipeline projects, and savings calculations. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/spo-supplier-optimization-opportunity-finder-agent-ai-agent.html |
| release | brazil |
| topic_type | reference |
| last_updated | 2026-09-30 |
| reading_time_minutes | 2 |
| breadcrumb | Sourcing and Procurement Operations AI agentsSourcing and Procurement OperationsAI agents libraryAI agents and agentic workflowsEnable AI Experiences |