Case Studies
Precision-driven AI solutions shaping tomorrow’s workflows
Lead Intelligence
Transforming historical operational data into real-time predictive profitability.
The Challenge
Great Day Moving generated steady leads, but lacked visibility into which jobs would yield the highest margins. Years of valuable operational data sat idle in historical records instead of driving business intelligence.
The Approach & Solution
Seriva consolidated and cleaned hundreds of historical job records to build a custom machine learning prediction engine. Integrated directly into the lead workflow, the system automatically scores new opportunities and delivers instant profitability forecasts to management.
The Results
The model achieved 97%+ predictive accuracy against historical outcomes, enabling split-second decision-making, sharper visibility into profit drivers, and a scalable data foundation for future automation.
Consultant Perspective
"Our goal was not simply to build a machine learning model. We wanted to create a practical business tool that helped leadership make better decisions using data they already owned. By turning historical operational records into predictive intelligence, Great Day Moving gained a new level of visibility into profitability before work even begins." — Steven Hinojosa, AI Engineer
Get in Touch
Reach out to Seriva for detailed insights or to schedule a consultation.
Phone
279-200-0303
hello@seriva.ai
