vector databases
Project Overview The client, a content creator producing long-form video content, faced inefficiencies in managing and repurposing their video transcripts. Manually analyzing hours of video content to extract insights, generate summaries, or identify key themes was time-consuming and error-prone. The goal was to automate transcript analysis using AI to improve
LLM routing
Project Overview The client, a fast-growing tech company specializing in customer support automation, faced inefficiencies in handling diverse user queries across multiple channels. Their existing system struggled to route inquiries intelligently to the most suitable large language model (LLM) – GPT-4, Claude, or Perplexity AI – based on query type, complexity, and
n8n automation
Project Overview A mid-sized retail chain with 50+ physical stores and an online Shopify store faced operational inefficiencies due to manual Point-of-Sale (POS) data synchronization and disjointed order fulfillment workflows. The client partnered with n8n Retail Specialists to automate their multi-channel retail operations, integrating Shopify (eCommerce), Square (in-store POS), and
WooCommerce integration
Project Overview The client, a mid-sized e-commerce retailer specializing in home goods, faced significant challenges in managing inventory across multiple sales channels. With a WooCommerce store as their primary platform, they struggled with stock discrepancies, delayed replenishment alerts, and manual data entry errors. These issues led to overselling, stockouts, and
low-code automation
Project Overview The n8n Community Contributors for Excel User Client: Low-Code Training Program was designed to bridge the gap between traditional Excel users and modern low-code automation tools. The project aimed to upskill Excel power users by introducing them to n8n, an open-source workflow automation platform, while leveraging Airtable for
n8n
Project Overview A mid-sized manufacturing company relied on a legacy SAP ERP system for core operations but struggled to integrate it with modern SaaS tools like Salesforce, Slack, and Zendesk. Manual data entry and siloed workflows led to inefficiencies, errors, and delayed decision-making. The company partnered with n8n community contributors
n8n workflows
Project Overview The n8n Expert Program 2025 aimed to democratize machine learning (ML) workflows by enabling no-code/low-code automation of ML model retraining pipelines. The project focused on leveraging Pyodide (Python in the browser via WebAssembly) to create a seamless, scalable, and browser-based solution for retraining ML models without backend
n8n automation
Project Overview The n8n Expert Program 2025 was a strategic initiative designed to help a Fortune 500 enterprise client automate and secure their workflow auditing processes. The client, a global financial services firm, faced growing compliance demands and needed a scalable, traceable solution to audit their n8n workflows. The project
n8n automation
Project Overview A mid-sized healthcare clinic faced persistent challenges with patient no-shows and manual appointment reminder processes. Their existing system relied on staff manually calling or emailing patients, leading to inefficiencies, missed reminders, and reduced appointment adherence. To modernize operations, the clinic partnered with our team to implement an automated
Solidity
Project Overview The client, a leading FinTech innovator in the decentralized finance (DeFi) space, sought to automate and optimize their token distribution workflows. Their goal was to ensure seamless, transparent, and secure distribution of tokens to stakeholders, including investors, partners, and community members, while minimizing manual intervention and reducing errors.
fraud detection system
Project Overview A leading European bank partnered with n8n FinTech Innovators to develop a cutting-edge Fraud Detection System (FDS) to combat rising financial fraud. The bank faced escalating losses from sophisticated fraud schemes, including identity theft, card cloning, and transaction laundering. The project aimed to: * Build a real-time monitoring system
Pyodide
Project Overview The project involved developing an AI-powered chatbot for a client’s customer support team, leveraging Pyodide (Python in the browser via WebAssembly) and self-hosted large language models (LLMs). The goal was to create a scalable, privacy-focused chatbot that could operate entirely within the client’s infrastructure while integrating
