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🚀 AI-Powered Sales & Order Automation System built with n8n
I recently built an AI-powered automation system that handles the customer journey from the first conversation to order creation and payment verification.
The goal was simple: reduce manual work while making the ordering process faster and more reliable.
Here’s what the system handles:
🤖 AI-powered customer conversations
📚 RAG-based business knowledge retrieval
📦 Live product availability & pricing checks
🛒 Automated order creation
💳 Payment claim processing
🖼️ AI analysis of payment screenshots
👨💼 Admin approval for payment verification
🔄 Automatic order & payment status updates
📩 Customer notifications for approved/rejected payments
Tech stack:
n8n • AI Agents • RAG • Supabase • Airtable • Telegram • APIs
The interesting part wasn’t just adding an AI chatbot.
I combined AI for understanding and reasoning with n8n for business logic, validation, integrations, data processing, and automated actions.
This turns AI from a simple conversational tool into a system that can actually execute business processes.
I build automation systems like this to help businesses reduce repetitive tasks, improve response times, and create more efficient workflows.
#n8n #AIAutomation #AIAgents #WorkflowAutomation #RAG #Automation #Supabase #Airtable #Telegram
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
I automated my entire customer onboarding process using one n8n workflow.
Dropping the ball on day one costs you lifetime customers.
You close a deal. The client is excited.
Then your team forgets to send the welcome package.
Or you pay a customer success manager $70k a year to manually trigger emails and update the CRM.
It is a slow, expensive bottleneck.
I stopped relying on human memory for week-one operations.
Here is exactly what this architecture executes:
→ Data Capture: A webhook catches the new signup and validates the client info.
→ Instant Action: It builds the HubSpot profile and alerts the team via Slack.
→ Time-Delay Sequences: Welcome email instantly. Docs at hour 2. Check-in at day 1. Success guide at day 3.
→ The Loop: It updates the CRM status the moment onboarding is complete.
Here is the ROI:
→ Zero manual admin work for your team
→ Flawless, professional first impressions
→ Week-one client churn dropped to absolute zero
If you want to work with me to build a similar automation in your business, I have a few spots open in my calendar this month.
Book a call here
🚀 Automated AI Document Processing & ATS Pipeline (n8n)
Project Summary
Replaced a manual candidate screening process with a fully automated, n8n-orchestrated backend pipeline. The system automatically intercepts incoming applications, uses OpenAI to analyze documents, updates databases, and triggers client communication—cutting manual data entry down to zero.
The Outcome & Business Value
Eliminated Manual Data Entry: Automated 100% of resume parsing, document conversions (Docs to PDF), and data extraction tasks.
Instant Candidate Screening: Integrated an OpenAI Chat Model Decider to evaluate incoming resumes against job descriptions in real-time with zero human delay.
Automated Sync & Follow-Ups: Automated instant logging to Google Sheets and launched immediate multi-path email responses based on candidate status.
How It Works (System Architecture)
Phase 1 (Ingestion & Extraction): Captures files via webhooks/emails ➡️ Cleans data via custom code nodes ➡️ Parallel-processes files to extract raw text ➡️ Uses AI structured parsing to match applicants to open roles.
Phase 2 (Database & Delivery): Routes structured applicant data ➡️ Upserts matching rows into a centralized tracking database ➡️ Triggers dynamic conditional emails back to candidates.
