Automated Sales Quotations with an LLM for an Electronics Retailer

An electronics retailer receives many bulk inquiries and requests for custom quotes. We built a system that takes a customer’s request and returns a branded PDF quotation within minutes.

Industry: Electronics retail

Challenge

Sales staff compiled specifications and prices by hand, which led to delays and mistakes.
Product information became outdated when prices or availability changed.
Quotations varied in tone and format, which weakened the brand.
Building and emailing the PDF took time.

Solution

A Google Form captures the customer’s requirements, and Zapier passes each submission to a custom REST API.
The API searches a vector database of semantically indexed product data to find relevant, current products.
A large language model drafts the quotation in natural language, guided by predefined style guidelines so the tone matches the brand.
A PDF generator formats the draft into a branded document, and the API emails it to the customer.
All transfers use HTTPS, and fallbacks handle errors and suggest alternative products.

Results

Customers receive a formatted quotation within minutes of a request.
Product recommendations reflect current availability, pricing and specifications.
Sales staff spend less time compiling quotes.
The system can take on new product lines and a larger catalog without more manual work.

Technologies

Large language modelVector databaseREST APIZapierGoogle FormsPDF generation

Automated Sales Quotations with an LLM for an Electronics Retailer

Challenge

Solution

Results

Technologies

Related services

Related Projects

A Comprehensive Cannabis ERP Solution

AI Support Ticket Triage with n8n and OpenAI

ai powered education platform