Case Study: Skip Scooters achieves real-time parking compliance with Scale AI

Skip Scooters - Customer Case Study

Skip Scooters, a San Francisco–based last-mile transportation provider, needed to enforce city-specific parking regulations by analyzing rider-submitted photos at the end of each trip. Manually reviewing images across multiple municipalities was slow and cost-prohibitive, so Skip Scooters partnered with Scale AI and used Image Categorization to automate real-time compliance checks.

Scale AI supplied high-quality, city-specific training and validation annotations that allowed Skip’s image-classification models to determine parking compliance within seconds. The Scale AI data markedly improved model accuracy, enabled immediate rider feedback for a better experience, and substantially reduced the long-term cost of enforcement.

Skip Scooters

Greg Stewart

Central Operations Project Manager