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Automated Natural Language Processing-Based Supplier Discovery for Financial Services.

Mauro Papa^1,2, Ioannis Chatzigiannakis², Aris Anagnostopoulos²

¹Bank of Italy, Rome, Italy.

|July 7, 2023

Summary

This summary is machine-generated.

This study introduces a new method for public procurement to find innovative small and medium-sized enterprises (SMEs) using community data. It helps discover new suppliers, boosting market competition and innovation.

Keywords:

entity linking financial services named-entity–disambiguation natural language processing supplier discovery

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Area of Science:

Information Science
Economics
Computer Science

Background:

Public procurement drives innovation and SME growth.
Procurement systems often use intermediaries for vertical linkages.
Identifying innovative SMEs with small market shares is challenging.

Purpose of the Study:

To propose an innovative methodology for decision support in supplier discovery for public procurement.
To identify small and medium-sized suppliers of innovative products and services with minimal market presence.
To develop a tool for a real-world procurement case in the financial sector.

Main Methods:

Utilizing community-based data sources like Reddit and Wikidata.
Avoiding historical open procurement datasets for supplier identification.
Applying natural language processing (NLP) models (part-of-speech tagger, word-embedding) and a novel named-entity-disambiguation algorithm.
Developing an interactive web-based support tool.

Main Results:

Successfully identified small and medium-sized suppliers of innovative products and services.
Demonstrated efficient analysis of large textual data volumes.
Increased the probability of comprehensive market coverage in supplier discovery.
Developed a functional tool for a financial sector procurement case study for the Italian central bank.

Conclusions:

The proposed methodology effectively supports supplier discovery in public procurement.
Community-based data and advanced NLP techniques can uncover hidden innovative SMEs.
The developed tool provides practical support for procurement decision-making, enhancing market coverage.