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
Back to feedPost
Restaurant CRM & Order Automation System
Built an end-to-end automation system for a restaurant using n8n, integrating Telegram and WhatsApp for customer orders, with Google Sheets as the live data backend. An AI agent (Google Gemini) handles natural-language order interpretation, customer intent detection, and automated responses — reducing manual order handling and keeping order data synced in real time.
Tools used: n8n, Telegram Bot API, WhatsApp Business API, Google Sheets, Google Gemini
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
Related posts
So I Recently rebranded my upcoming AI Agent Harness from "Crank" to "Pixie" which is the name of my cat. Do you think it was the right decision?
Which one do you prefer? Crank or Pixie?!
Check it out here: pixie.ecnivs.com
#FreelancerLife #AIHarness #FrontendDesign #AIAgent #ArtificialIntelligence #WebDevelopment #Design #TasteTest
5 voted
71%
2 voted
29%
7 votes
Closed
Pixie gets my vote too. Naming it after your cat makes it memorable, and it feels a lot friendlier for a tool people trust with their code. Nice rebrand.
Built an end-to-end order automation system for a restaurant using n8n.
The challenge: manual order handling via WhatsApp/Telegram was slowing down operations and causing errors.
The solution: connected WhatsApp + Telegram to Google Sheets in real time, with an AI agent (Gemini) handling order interpretation and customer intent — no more manual data entry, faster response times.
Tools: n8n, WhatsApp Business API, Telegram Bot API, Google Sheets, Google Gemini
"Businesses lose time and money to invoice errors that go unnoticed until it's too late. I built an automated pipeline that extracts invoice data, cross-checks it against vendor history, and flags anomalies with clear AI-generated reasoning — all visualized in a real-time dashboard. Stack: LangChain, Groq, n8n, FastAPI, Next.js."
