Uber Eats has launched INCA (INventory and CAtalog), a scalable catalog system for its global platform to manage large, diverse product inventories from supermarkets, pharmacies, and other retail partners. INCA addresses the limits of Uber Eats' original restaurant-focused architecture, which was optimized for low SKU counts and direct pass-through cataloging, but could not meet the scale, metadata complexity, and compliance requirements of retail environments.
The two primary categories for spatial data modeling in geospatial domains are raster data models, which use a grid-based approach, and vector data models that represent entities using geometrical shapes.