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My daily work involves helping supply chain teams and their suppliers collaborate to create visibility and traceability throughout the complex Purchase Order Life Cycle. I’ve seen the same challenge repeatedly: teams are drowning in data but starving for insights. Thousands of purchase order lines, delivery dates, need dates, shipments, and vendor records reside in databases, but obtaining actionable answers quickly is often a manual, slow, IT-centric and error-prone process.
That’s why I believe Text-to-SQL technology can be instrumental and bring change to this landscape.
What is Text-to-SQL?

Text-to-SQL is an AI-driven approach that allows you to ask questions in natural language, like “Which suppliers have delayed shipments this month?”—and automatically generate the SQL queries needed and retrieve answers from your backend systems.
* No need to write SQL manually.
* Instantly access data across multiple tables and systems.
* Reduces errors and accelerates decision-making.
* Bridges the gap between supply chain teams and IT, making data actionable for everyone.

For Supply Chain Teams:
* Instant insights: Respond to supply chain disruptions in real time.
* Faster decisions: No waiting for analysts to write queries.
* Reduced errors: Automates the tedious work of digging through data.

For Suppliers:
* Transparent collaboration: Quickly see PO statuses, deadlines, and trends.
* Proactive issue management: Identify delivery or quality risks before they escalate.

Turn natural language into insights: Text-to-SQL empowers supply chain teams to act quickly and efficiently.

Question for You:
How would instant, natural-language access to supplier data transform the way your team manages risk, performance, and collaboration?