Delphi | Leading Global Ports & Logistics Operator – AI-Powered Analytics Chatbot for Port Operations

Leading Global Ports & Logistics Operator – AI-Powered Analytics Chatbot for Port Operations

Ports & Logistics

Middle East

Databricks Genie, Unity Catalogue

AI-Powered Analytics Chatbot for Port Operations

An AI-powered analytics chatbot designed to help business users access port and terminal performance insights through natural language queries. The framework enables KPI definition retrieval using a RAG pipeline built on standardised PDF documents, ensuring accurate and consistent metric explanations. For analytical queries such as berth utilisation and quay moves, it dynamically generates and executes secure SQL queries against governed datasets.

Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.

Business users needed to access port and terminal performance insights through natural language without requiring technical SQL knowledge or dependency on data analysts.

KPI definitions across port operations were dispersed across multiple documents, making it difficult for users to obtain consistent, accurate metric explanations when querying data.

Dynamic generation of analytical SQL queries — for complex metrics such as berth utilisation and quay moves — required an AI system that could interpret intent and translate it into governed queries.

Ensuring that all SQL queries executed against governed datasets were secure, accurate, and aligned with data access permissions was a critical requirement for the platform.

Providing a conversational analytics experience that combined document-based KPI retrieval with live dataset querying required a sophisticated, multi-capability AI framework.

Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.

Built an AI-powered analytics chatbot on Databricks Genie and Unity Catalogue, enabling business users to access port performance insights through natural language queries.

Implemented a RAG pipeline built on standardised PDF documents for KPI definition retrieval, ensuring accurate and consistent metric explanations across all user queries.

Enabled dynamic generation and execution of secure SQL queries for analytical questions — such as berth utilisation and quay moves — against governed datasets in real time.

Leveraged Unity Catalogue for dataset governance, ensuring all SQL queries operated within defined access permissions and data security boundaries.

Designed the solution to combine document-based KPI retrieval with live analytical querying, providing a comprehensive conversational analytics experience for business users.

Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.

Business users can now access port and terminal performance insights through natural language, eliminating the need for technical SQL knowledge or analyst dependency.

Consistent, document-grounded KPI explanations ensured all users had access to accurate, standardised metric definitions when interpreting analytical results.

Dynamic SQL generation enabled real-time analytical querying for complex operational metrics, significantly accelerating insight delivery for operational decision-making.

Governed dataset access through Unity Catalogue ensured all queries were executed securely and within approved data boundaries, maintaining compliance across the platform.

A conversational analytics experience combining KPI retrieval and live querying improved decision-making speed and data accessibility for port operations teams.

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