The webhook matches extracted vendor name, address and VAT ID against a vendor database. Any of these data is sufficient for the right vendor match. You can find more information about webhooks here.

Analyst Insight: As supply chains become more data-driven, two often overlooked technologies, “fuzzy logic” and “fuzzy matching,” are quietly shaping how companies make smarter decisions. Bypass the ...

Abstract: Privacy-preserving bilateral task recommendation is an emerging functionality in mobile crowdsensing, enabling two-sided matching for both task publishers ...

We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions ...

In financial compliance, even small mismatches in data can have outsized consequences. Whether it's reviewing sanctions alerts, verifying customer names, or screening payments, organisations rely on ...

Recent large language models (LLMs) have shown impressive performance across a diverse array of tasks. However, their use in high-stakes or computationally constrained environments has highlighted the ...

Alex Merced is the co-author of O'Reilly's "Apache Iceberg: The Definitive Guide" and a developer advocate for Dremio ...

Add a description, image, and links to the fuzzy-string-matching topic page so that developers can more easily learn about it.

Abstract: This study focuses on observer-based controller synthesis for T-S fuzzy systems under imperfect premise matching. The fuzzy observer and fuzzy controller do not share the same membership ...