AI Automation Engineer Needed (OpenAI Automations + Browser Bots + Viagogo Integration)
I am looking for an experienced AI Automation Engineer to build a fully automated backend system for a rugby ticket resale website. The goal is to remove 90% of the manual admin (delisting tickets, sending PDFs, syncing inventory, monitoring Viagogo, etc.) using a combination of OpenAI Automations, browser automation (Puppeteer/Playwright), Zapier/Make, and API workflows. This project is ideal for someone who has built e-commerce automations, web scraping/bots, ticket resale flows, or OpenAI-powered agents.⸻ What I Need Built 1. Ticket Intake Automation • AI reads incoming PDF/mobile-transfer tickets • Extract seat details, match, section, row, delivery type • Validates PDF correctness • Stores metadata in bolthires Sheets • Auto-creates a listing on my website • Auto-creates a matching listing on Viagogo ⸻ 2. Inventory Sync System A bot that runs continuously (every 1–5 minutes): • Checks stock on my website + Viagogo • Detects mismatches • Removes duplicates • Updates pricing rules • Logs everything in the master sheet ⸻ 3.Website Sale Workflow When a customer buys a ticket on my website: • AI identifies the exact ticket • Automatically delists it from Viagogo • Sends the PDF ticket to the buyer • Or triggers mobile transfer • Sends WhatsApp confirmation • Updates inventory status • Alerts admin only for unusual cases ⸻ 4. Viagogo Sale Workflow When a ticket sells on Viagogo: • Detect sales via email or API • Match to inventory • Remove listing from my website • Deliver ticket through Viagogo portal • Update master sheet ⸻ 5.Dynamic Pricing Bot • Scrape competitor prices on Viagogo • Adjust my ticket pricing based on rules • Update website + Viagogo listings automatically ⸻ 6. AI Messaging System Automated messages for: • Order confirmation • Ticket delivery • WhatsApp updates • Pre-match reminders • Post-match upsells ⸻ 7. Fraud & Risk Detection AI checks: • VPN mismatches • High-risk payment patterns • Suspicious orders • Flags for manual review ⸻ 8. Daily Automated Reports Daily summary of: • Tickets sold • Revenue • Profit • Inventory levels • Matches trending • Pricing changes Delivered to WhatsApp + Email.⸻ Tech Stack Ideal technologies (you can recommend alternatives): • OpenAI Automations • Browser automation (Puppeteer, Playwright, Browserflow, Bardeen, Selenium) • Zapier / Make.com • Stripe Webhooks • bolthires Sheets API • WhatsApp Cloud API • PDF parsing (AI or programmatic) • E-commerce CMS (Shopify or WooCommerce) ⸻ Deliverables • Fully working automation system • Documentation + flowcharts • Error logging • Setup instructions • 2–3 weeks support after completion ⸻ Experience Required You MUST have experience with: • OpenAI agents or automation flows • Browser automation (Puppeteer/Playwright) • API integrations • Complex multi-step workflows • E-commerce or ticketing platforms • PDF parsing or document automation Please include examples of similar automation systems you’ve built.Apply tot his job