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Saved 30 mins per chat with AI Store Manager
I was tired of juggling Telegram messages, product photos, and a sprawling Google Sheet for every lead. Using n8n I wired a Telegram Trigger to Groq Vision for image recognition, then an IF/Switch combo decides whether the user is a customer or the shop owner. All the data lands in Google Sheets, and the bot can pull promotions or order status from CJ Dropshipping on the fly. The result? About half an hour saved per conversation and a much cleaner workflow.
#n8n #automation #TelegramTrigger #HTTPRequest
Follow for more: https://go.phonezait.de/
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
My Telegram bot now wears four hats
I was fed up with juggling separate Telegram bots just to get different perspectives. Using n8n I built a single bot that flips between analyst, skeptic, visionary and judge modes via a simple command. The stack: Telegram node, a switch node, Groq for AI, Whisper STT for voice, and Google Sheets to store long‑term facts. It even clears its own history on demand. The workflow now saves me about 15 minutes daily that I used to waste on copy‑pasting and context‑hunting.
#n8n #automation #Groq #WhisperSTT
Follow for more: https://go.phonezait.de/
I turned my Telegram bot into a visual search assistant
I was tired of the back‑and‑forth whenever someone dropped an image in my Telegram bot. Using n8n I wired Groq’s vision node to analyse the picture, then a conditional node decides if a Tavily web search is required. The chat log lives in Google Sheets so the bot keeps context, and a translation node spits the answer back in the user’s language. Roughly ten minutes per query disappear from the workflow – finally a bot that actually sees.
#n8n #automation #Groq #Tavily
Follow for more: https://go.phonezait.de/
What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
#AIAutomation #AIWorkflow #AIWorkflows #AIAgents #Automation #WorkflowAutomation #BusinessAutomation #ProcessAutomation #n8n #n8nAutomation #ArtificialIntelligence #GenerativeAI #B2B #B2BAutomation #SaaS #SaaSAutomation #SalesAutomation #LeadGeneration #LeadAutomation #LeadManagement #EmailAutomation #CRMAutomation #CustomerSupport #CustomerServiceAutomation #MarketingAutomation #AgencyAutomation #RealEstateAutomation #EcommerceAutomation #RecruitmentAutomation #HRautomation #FinTech #HealthcareAutomation #EdTech #BusinessGrowth #BusinessEfficiency #DigitalTransformation #NoCode #LowCode #OpenAI #AIAgent #CRM #Airtable #Notion #Slack #Productivity #FutureOfWork
I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?