Enterprise Container Tracking Chatbot
Natural-language chatbot on Azure and Databricks giving logistics teams real-time container status, with SELECT-only guardrails that protect data integrity.
01 Challenge
Logistics operations teams needed real-time access to container location, status, and history across complex supply chains. That information lived in Databricks Gold Delta views and required SQL expertise to query manually, slowing answers on exceptions and day-to-day status checks.
02 Solution
DesIDEA designed and deployed an AI chatbot on Azure that translates natural-language questions into SQL against Gold Delta views, returning structured answers about container status, location history, and exception events. SELECT-only guardrails are enforced at the query layer so the chatbot cannot modify data.
Natural-language access
Operators ask operational questions without writing SQL.
Gold Delta grounding
Answers come from governed Databricks Gold views.
SELECT-only guardrails
Query-layer controls prevent any data modification.
Azure delivery
Hosted on Azure App Service with enterprise controls.
03 Approach
- Text-to-SQL against trusted Delta Lake Gold views rather than ad-hoc extracts
- Enforce SELECT-only access so AI never becomes a write path into logistics data
- Prioritize container status, location history, and exception events for operational value
- Deploy on Azure App Service with Databricks as the governed analytics source
Technologies: Azure App Service, Databricks, Delta Lake (Gold), LLM (Text-to-SQL), query guardrails.
04 Impact
- Natural-language access to container tracking data without SQL expertise
- SELECT-only enforcement preventing data modification through the AI interface
- Reduced time-to-answer for operational queries on container status and exceptions