Turn supplier agreements into structured procurement data with Box AI
Blog post from Box
Box AI's structured extraction capabilities, featuring new struct and table field types, enhance the processing of complex procurement documents by allowing users to define schemas that closely match document structures. This innovation enables the transformation of supplier agreements stored in Box into structured outputs suitable for downstream systems, automation, and metadata management. Struct fields group related data into nested objects, such as vendor information, while table fields organize repeated entries like delivery schedules into structured arrays. The enhanced extraction agent further improves results by efficiently handling complex document layouts, making the extracted data ready for integration into workflows like ERP systems, CRM entries, or procurement platforms. These advancements reduce post-processing efforts and facilitate the seamless connection of unstructured data to actionable workflows, ultimately unlocking the potential of such data across various use cases.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.