Event Rentals: Two Companies, One Vision

Problem

Two Systems, Zero Visibility

After acquiring a competitor, this event rental company faced the classic post-merger challenge: two separate brands, two different systems, and no unified view of the combined business.

Critical KPIs Missing

Cost forecasts, sales forecasts, demand forecasts, inventory management, and labor efficiency metrics were scattered across incompatible systems.

‍Solution

The Solution: Unified Data Infrastructure

We built a complete cloud-based solution using our standard AWS, Snowflake, and DBT stack to merge data from both companies.

Data Sources Integrated:

Inventory systems (both companies)
POS systems (both companies)
Payroll systems (both companies)

‍Results

The Results: 25% Reduction in Stockouts

Business Growth:

20% increase in year-over-year sales through better forecasting
25% reduction in out-of-stock rate via improved inventory management
15% improvement in labor efficiency by eliminating over/understaffing

New Capabilities Unlocked:

Revenue tracking by region, store location, department, and event type
Wage analysis by region, store, location, department, and events
Direct wage-to-revenue comparisons
Item utilization tracking (rental days vs. available days)
Staff performance metrics
Logistics and delivery efficiency monitoring

"Gerald and his team didn’t just help build our data infrastructure, he helped translate what we needed into a system that works. Thanks to them, we launched in two states and we’re just getting started."

John Muñoz

CEO of Macherr

The Pattern of Success

What do these transformations have in common?

They Started With Existing Systems:

No massive software overhauls required.

We Connected Scattered Data:

Multiple sources became one source of truth.

Automation Replaced Guesswork:

Real-time insights replaced quarterly reports.

Results Came Quickly:

Most improvements were visible within months.

ROI Was Measurable:

Investments paid for themselves through operational improvements.

Your Transformation Starts Here

These aren't special cases. They're examples of what happens when businesses stop accepting "that's just how it is" and start demanding "show me the data."

Whether you're managing multiple locations, optimizing marketing spend, or trying to understand what drives your business, the insights you need already exist in your systems.