Budget: 600 EUR Deadline: 7 days
Hello, I am interested in your project and would like to discuss the details with you before collaborating.
Projektziel: Einrichtung eines modernen, automatisierten Systems zur Verfolgung von Debitorenzahlungen, zur Überprüfung der Abstimmung und zur Verwaltung des Kunden-Mahnwesens (Zahlungserinnerungen).
Technologie-Stack: n8n (Orchestrierung), Supabase (PostgreSQL-Datenbank) und ein Low-Code-Dashboard (Appsmith).
Umfang und Ergebnisse:
Dreifachquellen-Ingestion: Richten Sie n8n-Workflows ein, um Daten aus drei Quellen zu importieren und zu transformieren:
Rechnungen (CSV): Bereinigen Sie die formatierten Daten und laden Sie sie in Supabase hoch.
Banktransaktionen: Integration mit einem benutzerdefinierten AWS Lambda-Service (Java-App) zum Abrufen von Transaktionsdaten.
Zahlungsavis (PDF): Nutzen Sie Mistral OCR (KI), um strukturierte Rechnungspositionsdaten aus unstrukturierten PDF-Dokumenten zu extrahieren.
Automatisierte Matching-Engine: Implementieren Sie eine mehrstufige Matching-Kaskade in n8n/PostgreSQL, um Bankzahlungen mit offenen Rechnungen zu verknüpfen und dabei sowohl Einzelzahlungen als auch komplexe Sammelzahlungen mehrerer Rechnungen auf Basis exakter und summierter Beträge zu verarbeiten.
Human-in-the-Loop Dashboard: Entwicklung eines funktionsreichen Appsmith-Frontends für das Finanzteam, einschließlich:
Interaktive Datentabellen mit dynamischer Filterung und Spaltensichtbarkeit.
Ein manuelles Cockpit mit Unterstützung für Drag-and-Drop-Zuordnung und Datenbearbeitung direkt am Speicherort.
Aktionsschaltflächen (z. B. „Als bezahlt markieren“), um Transaktionen zu bestätigen und die Datenbank zu aktualisieren.
Erforderliche Fachkenntnisse:
Fundierte Erfahrung mit n8n , Supabase/PostgreSQL und modernen Low-Code-Plattformen (z. B. Appsmith). Bewerber müssen über praktische Programmierkenntnisse in folgenden Bereichen verfügen:
JavaScript (Unbedingt erforderlich): Zum Erstellen benutzerdefinierter Logik innerhalb der "Code Nodes" von n8n (z. B. erweiterte Datentransformation, Regex-Parsing für Überweisungsinformationen).
Advanced SQL/PostgreSQL (Essential): Zum Schreiben von hochperformanten, mengenbasierten Matching- und Abgleichsabfragen direkt gegen die Supabase-Datenbank.
API-Integration: Erfahrung in der Anbindung externer Dienste (AWS Lambda/Java-App, Mistral OCR).
Java/Python (von großem Vorteil): Kenntnisse des kundenspezifischen Java-Bank-Connectors sind für die Fehlersuche an Integrationspunkten hilfreich.
Budget: 600 EUR Deadline: 7 days
Hello, I am interested in your project and would like to discuss the details with you before collaborating.
Budget: 300 EUR Deadline: 31 days
I have a lot of experience in development. Recently, I worked on a poker casino.
Budget: 800 EUR Deadline: 12 days
Good day, I am engaged in automation on n8n and work with PostgreSQL/Supabase. I have already done similar things: collecting data from different sources, processing transactions, payment reminders, integrations with external APIs and AI services.
Regarding your stack:
n8n – complex workflows with Code Nodes (JavaScript), branching, retries, logging.
PostgreSQL – confident SQL, queries for reconciliation and reporting.
API integrations – REST/JSON, webhooks, OAuth2; I have experience working with AI APIs (Mistral, OpenAI, Google).
I am ready to set up data loading (CSV/bank/OCR), the logic for matching payments in the database, and a convenient dashboard for financiers.
Portfolio on automations and AI projects: https://boothnikita.online
Budget: 500 EUR Deadline: 1 day
Good day,
I am ready to take on your project to create a modern automated system for tracking debtor payments, checking reconciliations, and managing customer debt. My experience with the technology stack, including n8n, Supabase, and Appsmith, will allow me to successfully implement the project.
I specialize in integrating various data sources, configuring processes, creating automated matching mechanisms, and developing user-friendly interfaces.
My rate is $16 per hour.
Arthur
Budget: 1200 EUR Deadline: 1 day
Hello,
I am ready to provide this release, write to discuss the entire project and some details.
Thank you,
Ivan
Budget: 400 EUR Deadline: 7 days
Good morning,
I specialize in performing automation in n8n. This offer is a bit inconsistent and I believe that some elements are not entirely the right choice. I invite you to contact me, then I will present a solution to this problem in a reliable and organized manner.
Best regards,
Adam
Budget: 297 EUR Deadline: 10 days
Hello. I have experience in similar automation, ready to do it quickly and efficiently.
Budget: 300 EUR Deadline: 3 days
Hello,
In previous projects, I leveraged Python for data processing, PDF parsing, and orchestrating ETL workflows, which aligns directly with your requirement for transforming invoice CSVs, bank transactions, and payment advices using OCR. My proficiency in advanced SQL allows me to implement efficient matching engines to reconcile complex multi-invoice payments. Additionally, I have experience building interactive dashboards for financial teams, enabling manual verification and actionable insights.
I am confident that my combination of Python expertise, low-code orchestration (n8n), and database skills (Supabase/PostgreSQL) makes me well-suited to deliver a robust, automated system that streamlines invoice reconciliation and dunning processes.
I would welcome the opportunity to discuss how I can contribute to your project.
Best regards,
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