Case Study: Polished Casual Restaurant Chain achieves real-time operational insights, improved margins, and tens of millions in savings with DatAvail

Polished Casual Restaurant Chain - Customer Case Study

Polished Casual Restaurant Chain, a multi‑national brand with hundreds of locations and over 20,000 employees, faced gaps in actionable analytics: operators only saw P&L results after fiscal periods closed, rising food costs without insight into offending ingredients/menu items/locations, and no standardized way to reward top servers. The chain engaged Datavail for BI/analytics and data-driven services to address these operational blind spots.

Datavail delivered an algorithmic weekly managerial P&L, a theoretical food‑cost management platform to calculate menu‑item costs and margins (and support culinary R&D), and a statistical server scorecard to allocate premium shifts by merit. As a result, Datavail helped the chain gain timely operational and financial visibility, improve gross margins and waste mitigation, introduce merit‑based staffing that boosted sales and hospitality, and realize tens of millions in combined savings/ROI.