Structuring $30B in Government Procurement: Open Data & AI Architecture for Moroccan Public Tenders

Описание и применение

Автоматизированный пайплайн преобразует тысячи неструктурированных PDF‑архивов тендеров Марокко в структурированные, доступные для поиска данные, открывая $30 млрд рынка государственных закупок для малых и средних предприятий.

Задача

SMEs and researchers struggled to access and qualify Morocco’s $30B annual public procurement data because it was stored in unstructured, bilingual PDF archives and ZIP bundles with complex regulatory requirements.

Результат

The pipeline transforms thousands of raw, bilingual tender PDFs into structured, searchable records, enabling SMEs to quickly identify opportunities, comply with new regulations, and analyze market trends. The open dataset and live platform democratize access to Morocco’s $30B procurement market.

Рабочий процесс

• Ingest public notices from marchespublics.gov.ma and extract baseline metadata.
• Classify ZIP contents by role (RC, CPS, etc.) to target specific clauses.
• Deterministically extract numeric financial data using regex and LLM validation.
• Cache and serve structured records via Cloudflare edge workers for low‑latency search.
• Publish the resulting dataset to Hugging Face and Zenodo for community use.
• Provide interactive exploration and analytics via Hugging Face Spaces and DuckDB queries.

Доказательства

Public procurement in emerging economies represents massive economic volume. In the Kingdom of Morocco alone, government tenders (Marchés Publics) exceed 300 Billion MAD (~$30B USD) every year

Источник

To solve this, we built and open-sourced the Morocco Public Procurement Open Benchmark and launched the live intelligence engine at Soumit.ma.

Источник