Turning Raw Transactions into a
20% Efficiency Strategy
How we used data to identify peak sales hours, eliminate inventory waste, and drive profitability for a coffee retail business.
The Project Stack
Technical Foundation & Methodology
This project was built on a modern, robust data stack to ensure reliability, scalability, and deep analytical capability, transforming raw transaction logs into actionable business intelligence.
The Challenge: Operating on "Gut Feeling"
Many businesses operate by guessing. They guess how much stock to order, when to schedule staff, and which products drive profit. This leads to wasted inventory and lost revenue during unpredicted peak hours.
The Solution: A Decision Engine
We didn't just build a dashboard; we built a proactive management tool. By analyzing thousands of transaction records, we moved the business from reactive guessing to data-driven precision.
Identified the 20% of products driving 80% of revenue.
Cut underperforming stock from inventory orders.
Captured missed revenue during hidden "5 PM Rushes".
Solving Real Business Problems
Moving beyond charts to actionable business intelligence.
"Are we busy, or are we profitable?"
The client knew mornings were busy but missed revenue opportunities in the afternoon due to understaffing.
The Fix: Discovered a hidden "3 PM Slump" (cut costs) and a "5 PM Rush" (add staff).
Dead Stock & Cash Flow
Certain products were sitting on shelves, expiring, and tying up cash flow.
The Fix: A "Sales Velocity vs. Margin" matrix helped cut the bottom 15% of underperformers.
The Transformation
Gut Feeling
- ✕ Ordering stock based on "what looks low."
- ✕ Staffing the same number of people all day.
- ✕ "We sell a lot of Lattes."
Data Intelligence
- ✓ Ordering based on predictive demand.
- ✓ Dynamic staffing aligned with hourly revenue.
- ✓ "Lattes drive volume, but Espressos drive profit."
Stop Guessing. Start Growing.
Your business generates data every single day. Are you using it to make money, or letting it sit in a spreadsheet?