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

说明与用途

自动化管道将摩洛哥数千份非结构化双语PDF招标档案转换为结构化可搜索数据，为中小企业解锁300亿美元的公共采购市场。

问题

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.

结果

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.

工作流

• 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.

证据

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

来源

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

来源