Case Studies
Kinect.lt
Two automation systems built for a Lithuanian gaming and electronics retailer. Less manual work. Faster responses. A catalogue that updates itself.
Walkthrough
01 // E-commerce / Customer Ops
Smart Buyback Response System
The problem
Kinect.lt runs a console buy-in programme. Customers fill out a form to propose selling their used gear. Every submission landed as a plain email with no instant acknowledgement, no prioritisation. The owner checked inboxes, evaluated offers, and drafted replies by hand. Deals slipped through.
The solution
An n8n automation intercepts every form submission the moment it arrives and routes it through a structured decision flow. The owner acts from Telegram. Email stays closed.
How it works
Form submitted: live price lookup
The workflow triggers on submission and queries a Google Sheet for current market values on the proposed item.
Telegram alert to the store owner
The owner gets an instant Telegram message with the customer's offer and the going market rate side by side. No inbox needed.
Owner replies, automated email sent
A single Telegram reply branches into three paths: Accepted (next steps + drop-off details), Declined (polite rejection, door left open), or Counter-offer (revised price + instructions).
The result
Every submission gets a professional response in seconds, any time of day. The owner handles buyback negotiations from a single Telegram tap. One month in production. Zero manual email drafting.
02 // E-commerce / Catalogue
Automated Product Import Pipeline
The problem
New games release daily. Every listing meant searching for metadata, resizing cover images, writing descriptions, and entering everything by hand into PrestaShop. Slow, repetitive, and easy to get wrong.
The solution
An n8n pipeline reads an Excel file and runs the full import for every row: metadata enrichment, image sourcing, and API push to PrestaShop. No supervision needed.
How it works
Excel input
The operator adds game titles to a spreadsheet. The workflow reads the file and starts processing each row in sequence.
IGDB metadata lookup
Each title queries the IGDB database, pulling release date, genre, description, and platform tags for the listing.
Amazon image fallback
IGDB covers are often low resolution. When quality falls short, the workflow searches Amazon and pulls the first high-quality thumbnail.
JSON assembly and PrestaShop push
All data merges into a structured payload and pushes to PrestaShop via API. The product goes live with name, description, image, platform, and release date.
Status update and loop
The spreadsheet row marks complete. The workflow moves to the next item and runs the full batch without supervision.
The result
A spreadsheet row is all it takes. The pipeline enriches, images, and imports each product without supervision. New titles go live faster than the manual process could open a browser tab.