---
sourceDocument: Store Version History Release Notes
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/store-release-notes

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    - store

ft:locale :

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ft:publication_title :

    - Store Version History Release Notes

ft:clusterId :

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    - rnst


---

# ServiceNow Otto for Manufacturing Commercial Operations (MCO) release notes

# ServiceNow Otto for Manufacturing Commercial Operations (MCO) release notes {#ariaid-title1}

Release version: Store  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Version history for the ServiceNow®
ServiceNow Otto for Manufacturing Commercial Operations (MCO) application on the ServiceNow Store.
Important:  
For details on system requirements and family compatibility, view the application listing on the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home) website.

## Version history

Version 4.0.0 - September 2026 (Zurich)
:   No release notes.

Version 3.0.1 - August 2026 (Zurich)
:   No release notes.

Version 2.3.0 - July 2026
:   No release notes.

Version 2.2.0 - June 2026
:
    * New
      * Detect claim anomaly - two new capabilities
      * Auto-categorize Repair Claims capability
      * GenAI summary on repair claims

Version 2.1.2 - April 2026
:   New - Anomaly detection AI skill

Version 2.0.1 - March 2026
:
    * New: Plan and Execute Recall Campaign Phases Agent
    * Changed: Changes to how asset applicability conditions in corrective actions are set based on information from the repair instructions document
    {#store-rn-industry-now-assist-mco__ul_kkd_rml_m3c}

Version 1.0.1 - December 2025
:
    * Now Assist for Manufacturing Commercial Operations (MCO) uses ServiceNow's agentic and generative AI capabilities to enrich purpose-built manufacturing workflows
    * For Recall campaigns: TheCreate recall corrective actions AI agent enables manufacturers to create corrective actions and a list of parts and labor needed for each corrective action, by analyzing documents such as repair instructions and bulletins. It automates a key step of an creating a recall campaign and reduces manual errors.
    {#store-rn-industry-now-assist-mco__ul_olr_l1h_nhc}

