1 We Listen
A dog supply store owner with 4 Las Vegas locations believed deeply in fairly rewarding his team. But with 3-4 employees rotating across stores simultaneously, figuring out who drove sales was a nightmare. The only hard data came when an employee logged into the POS register—ignoring the floor staff who actually helped the customer decide. He spent 8-12 hours weekly cross-referencing scheduling data with sales spikes to guess who was performing, but the results were opaque and delayed by weeks.
2 We Audit
We mapped the data silos: Homebase (scheduling) and Square (POS). The owner was making educated guesses, meaning high performers were being overlooked simply because they weren't the ones ringing up the transaction. The transparency he valued was impossible without finding hidden correlations between foot traffic, shift overlaps, and category-specific sales spikes—a puzzle no human could solve manually in a reasonable timeframe.
3 We Design
Design a system that continuously ingests data from both platforms and uses statistical modeling to attribute sales influence even when staff aren't logged at the register. Two micro-automations: an ETL pipeline that unifies scheduling and transaction data, and an AI analysis engine that weights store busyness, shift compositions, and product categories to score true performance fairly.
4 We Implement
Cross-Platform Integration
- → API sync with Square POS
- → API sync with Homebase
- → Normalizes employee IDs
- → Maps velocity to shift overlaps
Pattern Analysis
- → Analyzes sales uplift per combo
- → Weights against baseline traffic
- → Sends Friday SMS alerts
- → Generates fair leaderboard
The Result
The owner now relies on fair, defensible performance insights that account for the complexity of rotating staff. Employees trust the system because it acknowledges floor work, not just register log-ins. Best of all, rewards are given in real-time, keeping morale consistently high across all four stores.