Reducing errors related to missing purchase orders enhances the relationships between the organization and its vendors while freeing up operational teams to focus on higher-level tasks. Furthermore, Kun.AI, at its foundation, aggregates multiple sources of truth across the organization, enabling a higher level of intelligence. This establishes the groundwork for operational teams to delve into inquiries, analytics, and trends across their vendor relationships.

Kun.AI will automate this process by initially connecting to the data repository containing historical trends of purchase orders, which may be in the form of databases, spreadsheets, or APIs. Utilizing this data, Kun.AI will detect anomalies occurring from month to month based on a rubric defined by operational team members. Any identified anomalies will be flagged for review. Additionally, Kun.AI will search Slack channels and emails with specific tags it has permission to access, identifying potentially missed purchase orders.