Hi. I do marketing for Skyline Analytics. Skyline built SkAI®, an AI engine for FP&A, and one of its products, Predictive Suite for Restaurants, forecasts revenue, labor, and ordering for restaurant operators. They ran a walk-forward backtest (meaning the model only ever saw data it would've had in real time, no hindsight bias) across: 🍽️ 500+ restaurants 📅 100,000+ days of data ⚔️ Compared week-to-week against the leading predictive tools currently sold to operators The result: 38% more accurate, and it won 132 of 147 weekly head-to-heads. That's not "better in a demo"; that's better almost every single week, at scale, over real operating history. It's also system-agnostic; it plugs into existing POS/ERP, no rip-and-replace, no downtime. Happy to answer anything about the methodology or the product; genuinely curious what this community thinks!

SkAI Predictive Suite — Restaurants

We benchmarked 500+ restaurants. We won 132/147 weeks.

We benchmarked 500+ restaurants. We won 132/147 weeks.