SaaS platform that automates bidding for Moroccan public procurement, from tender discovery to AI-drafted submissions.
المشكلة
Moroccan businesses spend days manually scanning government portals for relevant public tenders, then rebuild boilerplate submission documents from scratch for every bid. Slow and error-prone enough that strong candidates miss deadlines or submit generic proposals.
الحل
Built an automated pipeline that extracts and analyzes public tender listings, then uses Retrieval-Augmented Generation to draft tailored proposals and pre-fill submission documents against each company's own project history, cutting preparation time by 60%.
البنية
n8n workflows poll and parse public tender sources on a schedule, Supabase stores structured tender and company data, and a Python RAG layer retrieves relevant past submissions to ground the AI-generated proposal drafts before they're pushed back out as ready-to-file documents.
