SupplierSignal AI
An open-source supplier verification tool with a local-first architecture. Using open-weight models, it extracts structured information from procurement records, automatically cross-checks supplier commitments, invoices, and received goods across all three data sources, and flags discrepancies.
Timeline (last 90 days)
The Code Killers team open-sourced SupplierSignal AI during Hacktoberfest, with the project located at abu-124/SupplierSignal-AI on GitHub.
SupplierSignal AI is a mobile-friendly local-first web app that uses the open-weight model Gemma to extract structured information from procurement records and automatically compare supplier commitments, invoices, and actual goods received across the three datasets to flag discrepancies.
SupplierSignal AI's core features include four directions: information extraction, three-way comparison, discrepancy flagging, and report generation.
SupplierSignal AI's tech stack is a Python backend, Gemma for information extraction, Ollama for running the model locally, and web technologies for building the interface.
SupplierSignal AI's usage flow has five steps: create a procurement case, enter the supplier agreement or messages, fill in invoice information, add the actually received goods, and analyze and view the report.
The Code Killers team positions SupplierSignal AI as an evolving prototype rather than a mature product.
The Code Killers team listed follow-up improvement directions: extraction accuracy, evidence traceability, and review workflow.
All Facts (7)
SupplierSignal AI's tech stack is a Python backend, Gemma for information extraction, Ollama for running the model locally, and web technologies for building the interface.
50%UnverifiedSupplierSignal AI is a mobile-friendly local-first web app that uses the open-weight model Gemma to extract structured information from procurement records and automatically compare supplier commitments, invoices, and actual goods received across the three datasets to flag discrepancies.
50%UnverifiedSupplierSignal AI's core features include four directions: information extraction, three-way comparison, discrepancy flagging, and report generation.
50%UnverifiedThe Code Killers team listed follow-up improvement directions: extraction accuracy, evidence traceability, and review workflow.
50%UnverifiedSupplierSignal AI's usage flow has five steps: create a procurement case, enter the supplier agreement or messages, fill in invoice information, add the actually received goods, and analyze and view the report.
50%UnverifiedThe Code Killers team positions SupplierSignal AI as an evolving prototype rather than a mature product.
50%UnverifiedThe Code Killers team open-sourced SupplierSignal AI during Hacktoberfest, with the project located at abu-124/SupplierSignal-AI on GitHub.
50%