Stairlift configurator with GNN cost & lead-time prediction

DNN configurator

A DNN model — designed specifically around Extrema's product line — predicts the optimal stairlift-guide configuration from technical specifications. It enables automatic generation of the Bill of Materials and supports the sales team in producing accurate quotes quickly.

GNN for BOM structure

Trained a Graph Neural Network to learn the structure of the stairlift-guide bill of materials. The model predicts component types and the main specifications used inside the Dekali system to estimate process time and procedures — letting the customer receive an estimated delivery date in under ten minutes.

LLM customer chatbot

A retrieval-grounded LLM chatbot that helps customers troubleshoot problems and walk through procedures on Extrema products, using the internal manuals as its knowledge base. The chatbot reduced internal response times by more than 60%, improving customer satisfaction.

Document AI for technical drawings

Designed advanced document-analysis algorithms able to extract structured data — components, materials, specifications — directly from technical drawings. This accelerated integration with the ERP and automated quote generation.

Azure automated reporting

Automated report generation on Microsoft Azure, with daily and weekly project-status and feature-request updates sent automatically to customers and managers.