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Valery Danyuk
Valery DanyukdeveloperDeveloping AI tools for businesses. High-quality. Affordable.Message on Telegram

ERP + website + AI-powered Telegram bot for auto dismantling in 6 days: razborkaua.pro case study

The auto dismantling website razborkaua.pro — a catalog of spare parts by brand
TaskAccounting, sales, and shipping for auto dismantlers with data entry "in the fields"
SolutionERP + website with a native app + Telegram bot with AI that recognizes photos, videos, and voices and creates spare parts cards
DeadlinesAugust 29 start → September 4 delivery (6 days)
ResultThe customer only needs to fill the database with products

Friday. We completed the development of a comprehensive accounting system for a car dismantling facility. I sincerely admire Ukrainian entrepreneurs who, despite all odds, confidently forge a path to success.

Deadlines

  • August 29 — the project was launched: ERP + website + Telegram bot with AI.
  • September 4 — finished. The customer only needs to fill the database with products.

Project links

Key feature: a bot instead of a keyboard

Telegram bot for warehouse and shipping managers. The AI-powered bot recognizes photos, videos, and voice descriptions of removed auto parts and automatically enters the data into the ERP system. Then, shipments are processed (usually cash on delivery), and the company's warehouse and financial records are maintained.

Telegram was chosen for a reason: it's the most convenient, familiar, and fastest interface for entering information "in the fields"—take a photo of the part, enter a description, and the card is already in the system.

About the client

The client is Adam, a young entrepreneur whose business grew from a blog. An audience of 45,000 subscribers ensures a steady stream of customers, and a website with a brand catalog and an app convert this traffic into orders.

Project screenshots

ERP + website + AI-powered Telegram bot for auto dismantling in 6 days: razborkaua.pro case study — screenshot

Project links

Questions and Answers

How does AI recognize a spare part from a photo?

The model determines the part type, brand, and condition based on a photo and voice description, selects a category, and fills out a form; the manager only confirms.

Is this ERP suitable for a used goods warehouse of any niche?

Yes: the same scheme works for used equipment, furniture, building materials—anywhere where the product is unique and it's quicker to photograph than to describe.