Project description
We run an online auto parts store and want to give visitors a faster way to find parts that actually fit their car. The idea is a chat assistant embedded on the site: a customer types in their VIN code, the bot decodes it to determine the exact make, model, engine variant and production year, and then filters our catalog to show only compatible parts for that vehicle. Right now people either guess the right part number themselves or contact support, and a fair share of orders get returned because the part doesn't fit — we want to cut that down significantly.
The bot should walk the customer through a simple conversation: ask for the VIN, validate the format, decode it, confirm the vehicle details back to the customer, and then let them browse categories like brakes, filters, suspension or electronics narrowed to their exact model. If the VIN can't be decoded automatically, the bot should offer a fallback where the customer manually picks make, model and year from a list. Ideally it also remembers the vehicle for the current session so the customer doesn't have to re-enter the VIN when browsing further sections.
We need someone who has built chatbot logic before and is comfortable connecting it to a product catalog and, ideally, a VIN-decoding service or library.
Key requirements:
— VIN input and validation inside the chat widget
— Decoding make, model, engine and year from the VIN
— Filtering the parts catalog by the decoded vehicle data
— Manual fallback selection when VIN lookup fails
— Clear, friendly conversational flow and error messages
The bot should walk the customer through a simple conversation: ask for the VIN, validate the format, decode it, confirm the vehicle details back to the customer, and then let them browse categories like brakes, filters, suspension or electronics narrowed to their exact model. If the VIN can't be decoded automatically, the bot should offer a fallback where the customer manually picks make, model and year from a list. Ideally it also remembers the vehicle for the current session so the customer doesn't have to re-enter the VIN when browsing further sections.
We need someone who has built chatbot logic before and is comfortable connecting it to a product catalog and, ideally, a VIN-decoding service or library.
Key requirements:
— VIN input and validation inside the chat widget
— Decoding make, model, engine and year from the VIN
— Filtering the parts catalog by the decoded vehicle data
— Manual fallback selection when VIN lookup fails
— Clear, friendly conversational flow and error messages
Web programming Cash, Bank transfer
