At a Glance
Logistics & Transportation
United States
Let business users get answers from complex, multi-database data without writing SQL or waiting on IT replacing slow manual reporting with dashboards generated on demand from a plain-language question.
- 80% faster report generation through AI automation.
- 50% reduction in IT dependency; business users self-serve.
- 40% increase in data accuracy via automated AI validation.
The Challenge
The data existed; getting to it didn't work. Information sat across multiple databases, and pulling anything meaningful together was slow and inefficient. Manual reporting meant critical business insights arrived late often after the moment they were needed had passed.
The bottleneck was structural. Business users had no way to answer their own questions, so every report request queued behind an IT team who had plenty else to do. And because reports were assembled by hand, they carried manual errors that undermined confidence in the very numbers people were meant to decide on. The organisation was data-rich and insight-poor.
Our Approach
Cozentus built a Gen-AI Dashboard Builder that turns a typed question into a working dashboard.
A user asks for what they need in plain language "show me sales data for 2024." An LLM dynamically translates that question into an SQL query, which runs against the connected databases: MySQL, Synapse, Azure DB or Snowflake. The AI model then cleans, structures and organises the returned data, validates it for accuracy, and renders it as an interactive dashboard with graphs and charts. No SQL, no ticket to IT, no waiting.
Conversational Reporting in Action:
- Natural language to SQL: an LLM translates plain-English questions into queries across MySQL, Synapse, Azure DB and Snowflake
- Validated before it's shown: automated data validation verifies insights before they reach the dashboard, driving a 40% accuracy gain
- Refine and customise without code: users edit previous queries to tailor insights, and adjust dashboards via drag-and-drop, with AI-driven forecasting to anticipate trends and detect anomalies
Business Outcomes
- 80% faster report generation from days of manual effort to seconds
- Insights available at the moment decisions are being made
- 50% reduction in IT dependency; business users generate their own reports without SQL expertise
- IT teams freed from routine reporting requests
- 40% increase in data accuracy through automated AI validation
- Data silos eliminated by integration across every connected database
- Architecture easily adapted to new data sources and business needs
Client Quote
What used to take days of manual effort and back-and-forth with IT now happens in seconds. With AI-powered automation, our team can generate reports instantly, without needing any SQL expertise… we can now focus on strategy rather than spending time on generating reports manually. Simply put, we can't imagine going back to our old way of working.
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