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Automated Abandoned Cart Recovery with n8n
Built an automated abandoned-cart recovery system using n8n to identify incomplete purchases, process customer and cart data, and trigger targeted follow-ups.
The workflow uses business rules, scheduled checks, validation, and error handling to reduce manual follow-up and help recover otherwise lost revenue.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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I built an AI voice ordering workflow to help a restaurant capture customer orders and pass them to the kitchen with less manual work.
Using Vapi, I configured a voice assistant with the restaurant’s menu and prices to collect customer details and orders. After each call, a webhook triggers an n8n workflow, where OpenAI extracts the order into structured data. The workflow then notifies the kitchen and logs the order in Google Sheets.
I handled the voice assistant setup, webhook integration, AI prompts, and workflow implementation. The solution reduced manual order entry and made order information easier for the kitchen to access.
Tools: Vapi, n8n, OpenAI, Google Sheets, and webhooks.
Having the assistant feed orders straight into the kitchen cuts the manual handoff. The call transcript in Sheets also gives a clear audit trail.
Pharmacy Operations System: an automation-focused prototype for managing inventory, sales, purchases, and pharmacy operations. Built with a web dashboard connected to Google Sheets and n8n workflows to automate data updates and operational processes.
I'd keep sales, purchases, and manual stock corrections as separate events in the dashboard. If today's balance is disputed, can a user trace it back to a specific change rather than only seeing the latest value in Sheets?
AI Property Maintenance Automation
AI-powered property maintenance automation designed to streamline how property management teams handle tenant maintenance requests.
The system takes a maintenance request, analyzes the issue, determines its priority and category, recommends a suitable vendor, and automatically creates a structured work order.
Workflow:
Tenant request → AI analysis → Priority & category → Vendor matching → Work order
Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted request classification.
This project was built as a portfolio demonstration of AI automation for property management operations.
Turning a tenant request into a ready work order in seconds removes the manual triage step.