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Helping a 99-Year-Old Industry Leader Modernize Data Insights

McCarthy Tires, a nearly century-old leader in tire distribution and services, runs their operations on an IBMi AS/400 mainframe. Each week, their CIO team extracted sales and inventory data manually, cleaned it, aggregated it, and compiled Excel reports — a process that consumed significant time and limited visibility into business trends.
Organization
McCarthy Tires
Industry
Commercial, industrial
Customers
Revenue

Our Approach

We built the end-to-end data infrastructure to unlock richer insights and faster reporting:

Semantic Model Creation

Our Data AI Agent parsed decades of contextual data — call logs, business requirements documents, and database schemas — to automatically generate a complete semantic model of their IBMi data.
In just 4 days, the agent created a deep, accurate representation of their core business entities.

Modern Data Pipeline

From IBMi, we extracted key datasets into Amazon S3 using Apache Iceberg. Then we integrated with Snowflake to establish a bronze/silver/gold medallion architecture — enabling clean, curated, and analytics-ready data layers.

Reporting and Visualization

We built dozens of interactive dashboards and reports in AWS QuickSight, empowering business teams to explore trends and performance metrics instantly.

Our Secret Sauce

AI acceleration was the difference-maker.
Our AI Agents handled 70–90% of the heavy lifting — semantic modeling, pipeline code generation, and validation — so our team could focus on refinement and business alignment.

The result? Delivery at 3x the usual speed, with far greater reliability.

What Can We Do For You?

If your business is still wrestling with manual extracts, legacy systems, and time-consuming reporting, we’d love to help.

Whether you run IBMi, Oracle, or any other platform, our AI-powered approach can modernize your data infrastructure and put actionable insights at your fingertips.

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