Dominik Oberriesser's avatar
Dominik Oberriesser
PRO
Building smart, automated web experiences enhanced by AI.
5.0
Rating
7
Followers
KAJABI_EXPERT

Expert

Cover image for To pay my suppliers in different currency's, countries was a...
To pay my suppliers in different currency's, countries was always a pain. 150 invoices per month, manually... Wise is great to save on cost, but each invoice has to be manually entered or scanned. BatchPayer solves the issue. It scans up to 1k invoices in bulk, identifies by OCR the data for the transfer and puts them into the batch file format. Then you can export the CSV or push it by API to WISE to wire it. Working: 👍 OCR Scan - still improving multi language, currency etc. 👍Review System (Check if all infos are extracted correctly) 👍Payment System Working on: 🧠 API integration (working on compliance rules etc. as sending money by wire transfer is critical) 🧠 Smartphone App to add Scanner 🧠 Own extraction model & refine existing one by mismatch etc. Project Link (https://invoice-ocr-upload-for-wise-362.created.app/)
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156
Cover image for Laser Comparison Platform Problem: Finding the right laser e...
Laser Comparison Platform Problem: Finding the right laser engraver or cutter was difficult for me. Specs, prices, and models were spread across many manufacturer sites. I couldn’t easily compare key details like laser type, power, wavelength, or supported materials. Solution: I build a powerful comparison and search platform that helps users identify lasers matching their needs. The site combines a Bolt.com frontend with Supabase for structured product data, while n8n and Firecrawl handle scheduled price checks and data validation to keep listings accurate and up to date. Key Features: • Over 100+ filter options • Live database powered by Supabase • Data validation & more via n8n + Firecrawl • Custom compatibility scoring algorithm Tools Used: Bolt.com Supabase n8n Firecrawl Custom Code
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Cover image for TCG OCR Scan & Shopify
TCG OCR Scan & Shopify Integration Problem: Listing large Pokémon card inventories manually was slow and error-prone. Each card required manual input for name, set, etc. Solution: We developed an OCR-powered system that identifies TCG cards from scans (Document Scanner, Pictures with Smarpthone), matches them to a database. The system uses Tesseract OCR & Azure Computer Vision for image recognition. Key Features: • Dual OCR pipeline (Tesseract + Azure Vision) • Automated card lookup via TCG API • Review queue for low-confidence scans • Auto-listing to Shopify with title, rarity, set & price • Error handling and manual approval interface Results: • 97% faster product listing workflow • Human review ensures 100% data accuracy • Supports bulk imports for large collections • Greatly improved speed and consistency in catalog updates
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Cover image for Centralized Sales Automation System 🔍 Problem The client la...
Centralized Sales Automation System 🔍 Problem The client launches dozens of new products each month. Every product had its own Zapier workflow. Managing hundreds of automations became slow, error-prone, and hard to maintain. 💡 Solution We built a centralized automation system using n8n with a custom webhook plugin. All orders are now sent to a single webhook that references a Google Sheet for configuration. Key Automations: • Single webhook endpoint for all products • Dynamic routing via Google Sheets • Auto-updates to CRM, Kajabi, Discord... • No-code management - changes made directly in Sheets ⚙️ Results: 🕒 Replaced 300+ Zaps with one scalable workflow ⚙️ 95% less maintenance 🚀 New launches need only one new row in Sheets 🧰 Tools Used: n8n Google Sheets ActiveCampaign Discord Apps Custom Webhook Plugin Forum API Kajabi
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208
Milad Rezaee's avatar
Milad Rezaee
3430 Tulln, Austria
Strategic Brand Designer
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Ender
0
1
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Exp Realty
0
4
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Unify Me
0
5
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