Case Studies

A leading dental services provider scaled to over 2,600 offices using MapZot.AI’s AI-powered site selection. This case explores how data-driven insights transformed their expansion strategy.

A regional car wash chain sought to accelerate its growth by expanding to 12 new locations across key markets. The primary challenge was identifying untapped customer segments and high-potential areas that could support sustainable growth, particularly in an increasingly competitive environment.

A popular casual dining chain in Hawaii aimed to expand across the islands while reducing the time to break even for each new location. The challenge was to find profitable sites that matched the chain’s unique customer base and ensure rapid ROI in an unpredictable market.

A Florida-based coffee chain sought to scale its operations from 20 to 80 stores across multiple U.S. cities. To achieve this ambitious growth, the chain needed to ensure each new location aligned with its core customer base while avoiding market oversaturation.

A national dialysis network faced a critical growth challenge: every new facility demanded heavy capital investment, strict regulatory compliance, and precise location accuracy. A single wrong site could mean years of lost ROI.

For years, retail growth in Paulding County was driven by chance rather than insight. Brands often entered the market too late, only after developers had already broken ground missing early, high-value opportunities that could have shaped stronger regional footprints.