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In-road Launches AI Intelligent Data Analysis System – Breaking Through Fixed Dashboards
2026-05-15

In the digital transformation journey of chemical enterprises, a long‑overlooked pain point is now surfacing: dashboards are rigid and one‑size‑fits‑all. Frontline employees cannot access data about their own areas, and requests for new indicators often face IT backlogs of months. Data sits idle in systems while valuable expertise remains locked in the minds of veteran workers – utilization rates remain low.

 

To address this common challenge, In-road is about to launch its AI Intelligent Data Analysis System. Built on natural language interaction, the system allows users to simply ask questions and receive data analysis results instantly – no technical background required, no waiting for development.

 

Core Capabilities at a Glance:

  • • Data for Everyone: Query data in plain language, breaking the limits of fixed dashboards.
  • • Natural Language Interaction: For example, “Help me check the work completion rate of my area in the last 30 days” – the system automatically understands the intent and returns the results.
  • • Intelligent Dual Engine: Standard indicator library + custom SQL – balancing standardization and flexibility.
  • • One‑Click Visualization: Automatically generates charts and supports export to Word reports.
  • • Subscription Briefings: Schedule and push frequently used analyses – saving time and effort.

 

Real‑World Effectiveness:

Take work permit efficiency analysis as an example. The traditional approach requires manually exporting thousands of records, cleaning, converting units, performing multi‑dimensional analysis, and creating charts – a process that takes 14.5 hours. With the In-road AI system, users simply ask one sentence. Within one minute, they receive a complete time‑consumption analysis, bottleneck identification, and optimization suggestions.

 

The In-road AI Intelligent Data Analysis System will be officially launched soon. It aims to activate organization‑wide data consumption capabilities and truly enable “everyone to be their own data analyst.”

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