Case Study: Descifra (Mexican location-analytics provider) achieves faster time-to-market and 30% client growth with CARTO Engine

Bringing Location and Predictive Sales Analytics to Mexican Retailers

Descifra, a Mexico City–based Location Analytics provider, builds site-planning and sales-prediction products for retail, real estate and public-sector clients. For its Omen platform the company needed to replace static reports with an intuitive, high-performance visualization layer that could handle millions of diverse data points in real time without sacrificing speed, security or geographic detail.

Descifra integrated CARTO Engine and CARTO.js to power Omen’s maps, standardized cartographic layers and custom interactions, enabling faster development of a cloud-based, mobile-friendly Location Intelligence app. The solution cut time to market, reduced costs and supported rapid growth—helping Descifra increase its client base by about 30% and achieve triple-digit growth from 2016–2017—while delivering secure, scalable predictive-sales and site-planning capabilities.

Descifra

Rodrigo Sarmiento

Data Scientist