I'll develop a chatbot for auto parts selection by VIN

I design and implement chatbots that turn a vehicle's VIN code into a ready list of matching parts in seconds. The customer enters the seventeen-digit code in the chat window, the bot recognizes the manufacturer, model, body type, engine displacement and year of manufacture, then cross-references the store's catalog and shows only the items that truly fit. The risk that a customer will order the wrong filter or bumper and return the order drops immediately.

I handle all the work myself: I connect a VIN decryption source, configure matching vehicle parameters with the catalog structure, design the dialogue scenario so it sounds natural rather than like a questionnaire, and test the bot on real VINs from different regions and years so rare cases don't break the selection logic. The bot works as a widget on the website, in a messenger or in both channels at once, and transfers the conversation to an operator when needed.

Since compatibility filtering happens before showing a product card, return rates drop and support stops answering "will this fit my car?" all day. I additionally configure simple analytics: which VINs are searched most often and which product categories sell best.

What's included in the work:
— VIN decryption and vehicle parameter matching
— catalog integration and compatibility filter
— dialogue scenario with operator handoff
— testing on different makes and years