Transforming industrial quotations with an AI-driven RFQ processing platform

Industrial RFQs are often large, unstructured, and inconsistent. Equipment distributors and manufacturers receive spreadsheets containing hundreds of product lines with varying formats, abbreviations, and technical specifications, which often lead to inaccurate pricing, delayed responses, and operational inefficiencies.

As a result, suppliers risk losing deals, reduced margins, and strained client relationships. Interpreting and matching this data to internal catalogs requires significant manual effort and domain expertise. 

Thus, our client needed a solution capable of accurately analyzing RFQs, extracting key attributes, and identifying relevant products, while maintaining performance, scalability, and data security in a cloud environment.

In addition, the platform had to support file handling, real-time editing, AI-assisted product suggestions, and structured export functionality, all within an intuitive interface suitable for industrial users.

Honeycomb Software led the technical implementation of a cloud-based AI platform designed to streamline the analysis and response to complex industrial quotations.

The platform enables users to:

• Upload and preview large RFQ files.

• Use AI to extract product attributes and generate matching recommendations.

• Review, edit, and validate results within an interactive spreadsheet interface.

• Export structured outputs ready for quotation.

Honeycomb Software was responsible for:

• Platform architecture and user experience design.

• Core feature implementation and AI workflow integration.

• Migration to AWS cloud infrastructure.

By combining AI-assisted analysis with human validation within a structured workflow, the solution reduces manual effort while maintaining accuracy and operational control.

The implemented platform provides a structured and scalable foundation for automating industrial RFQ processing. By introducing AI-assisted product matching and a unified workflow, the solution reduces reliance on manual data interpretation and improves consistency in quotation preparation.

The cloud-based architecture ensures secure file handling and positions the platform for future scaling as RFQ volumes grow. The system enables commercial teams to process complex quotation requests in a more controlled, efficient, and transparent manner.