Superluminal

Use Case 1: Self-Service Analytics for SaaS Platforms

Problem: Users of B2B SaaS platforms often have unique data questions that standard, static dashboards cannot answer. This leads to a high volume of support tickets requesting custom reports or users exporting data to Excel to perform their own analysis.
Solution: By integrating Superluminal's API, developers can add a "Talk to your data" feature directly into the product. This allows non-technical end-users to perform complex ad-hoc queries using natural language without needing SQL knowledge or manual filtering.
Example: A store owner using an e-commerce platform asks the dashboard: "Which product categories saw the highest growth in the Midwest region during the last holiday sale?" Superluminal interprets the request, queries the database, and generates the specific visualization.

Use Case 2: Instant Executive Insights for Internal Business BI

Problem: Executives and managers often need quick answers to strategic questions during meetings but are forced to wait for data analysts to build custom views or run manual scripts.
Solution: Businesses can use Superluminal to transform internal company dashboards into interactive consultants. The AI interpreter acts as a bridge between the raw data and the executive, providing instant interpretations and identifying trends that might not be visible in a standard chart.
Example: A Marketing Director asks the internal dashboard: "Compare our CAC (Customer Acquisition Cost) across LinkedIn and Google Ads for the last three months and tell me which is more efficient for high-ticket leads." The tool provides a comparative summary and a data-backed recommendation.

Use Case 3: On-the-Fly Financial Reporting in Fintech Apps

Problem: Small business owners using fintech or accounting apps often struggle to understand their cash flow patterns or tax liabilities because they cannot easily slice and dice their transaction history through a limited mobile or web UI.
Solution: Developers can use Superluminal to allow users to "interview" their financial data. Instead of navigating complex menus, users can ask specific questions about their spending, saving, or earning patterns, receiving instant calculated answers and trend analysis.
Example: A freelancer asks their banking app: "How much did I spend on software subscriptions in 2023 compared to 2022, and what is the percentage increase?" Superluminal calculates the totals from the transaction data and provides a brief narrative explanation of the change.