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Caught anomalies in dropshipping orders
I've been working with n8n, Google Sheets, and Groq AI to automate anomaly detection in my dropshipping orders. It's been a bit of a challenge, but the result is well worth it - I'm saving hours of manual work every week
Follow for more: https://go.phonezait.de/
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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Are you losing hours every week to repetitive tasks that a well-built automation could handle in seconds?
As a Fiverr Vetted Pro with deep expertise in AI-powered workflow automation, I design and build production-grade systems using n8n, Make (formerly Integromat), and Zapier the three leading platforms for connecting your tools, AI models, and data sources into seamless automated pipelines.
What I build:
Lead capture and CRM enrichment pipelines
AI-powered email triage and response workflows
Multi-platform data sync (Airtable, Notion, Google Sheets, HubSpot, Salesforce)
Automated reporting and notification systems
OpenAI / Claude / Gemini integrations into your existing workflows
Webhook-based event triggers and real-time data processing
My builds include built-in error handling, retry logic, and execution logging so your automation doesn't silently fail at 2am. Every workflow comes with clear documentation so your team can understand and maintain it.
I work with businesses across SaaS, real estate, e-commerce, health services, and agencies. Whether you need a single zap or an interconnected system of 10+ workflows, I scope clearly, build cleanly, and deliver on time.
I built an AI-powered sales system for a local anime figures business in Vizag.
The business was doing okay on Instagram, but the owner was manually handling every single customer inquiry on WhatsApp and DMs. No website. No lead system. Just pure manual work.
After understanding his pain points, I built the following using Base44 for the Give It A Glow challenge:
What I built:
Storefront Clean landing page + dynamic Shop page with masonry grids Categories, New Arrivals, and Grail flags
CollectiX Closer (AI Sales Agent) Triggered when user clicks "Buy Now" Works via WhatsApp Real-time product data access (price, stock, availability) Classifies customer intent into Exploring / Likely to Buy / Want to Buy Creates leads with full conversation summaries Handles sold-out cases + Notify Me flow
Admin Dashboard Full product management (CRUD + media + stock flags)
Leads pipeline sorted by intent priority AI-generated conversation summaries WhatsApp quick links + status tracking (Contacted / Closed).
Auto-notify system when restocking items Insights dashboard (inventory trends + lead intent) The biggest win?
The owner no longer has to reply to every message.
He can now focus only on serious buyers.
This was one of the most useful builds I’ve done recently. Live site + walkthrough.
AI systems don't stay fixed forever. APIs update. Models behave differently. Edge cases surface after launch. Business requirements change.
I provide ongoing technical support and maintenance for AI systems that were either built by me or by another developer keeping your chatbots, automation workflows, data pipelines, and AI applications running reliably.
What I handle:
Bug fixes and breakage caused by API changes (OpenAI, Anthropic, Zapier, n8n, Make)
Prompt tuning to improve AI response quality over time
Performance optimization (reduce latency, cut costs, improve accuracy)
New feature additions to existing systems
Platform migrations (e.g., moving from Zapier to n8n, or GPT-3.5 to GPT-4o)
Security reviews and data handling audits
Response quality monitoring and improvement
I take over existing AI systems built by others regularly. Just give me access to the codebase or platform account and a description of what's broken or what you want improved I'll diagnose and fix without unnecessary rebuilding.
The monthly retainer model is ideal for businesses that have live AI systems serving real customers and can't afford downtime.
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