Data

Case studies

7 case studies

• 
  Latin American Multi-Format Retailer

  Optimizing the e-commerce delivery system for home products

  We designed an intelligent decision engine to optimize delivery and pickup management for the e-commerce channel, improving product availability, logistics efficiency, and the customer shopping experience.

• 
  Leading Automotive Retail & Services Company

  Data optimization and centralization to support strategic initiatives

  We designed a centralized data platform that integrates information from multiple sources, improves data quality and availability, and accelerates the implementation of data-driven strategic initiatives.

• 
  Leading baking company in LATAM

  Sustainability management to optimize natural resource use

  We implemented a comprehensive sustainability management platform that centralizes the monitoring and analysis of natural resource consumption, providing reliable insights to optimize operational efficiency, reduce waste, and support environmental goals.

• 
  Global travel assistance company

  Customer lifetime value model for data-driven decision-making

  We developed an AI-powered Customer Lifetime Value (CLV) model to unify customer insights, optimize segmentation, and enhance marketing and customer engagement strategies.

• 
  Consortium of Agricultural Producers

  Demand forecasting for sales price optimization

  We developed an artificial intelligence solution to forecast demand by crop variety, optimize inventory turnover, and maximize spot market sales opportunities through predictive models and risk scenario analysis.

• 
  Walmart Chile

  Business Insights for Retail

  We applied advanced analytics to transform large volumes of data into actionable insights, identifying opportunities for optimization, cost reduction, and business value creation.

• 
  South American Telecommunications Provider

  Fraud management and prevention system

  We built an intelligent fraud management and prevention platform that combines data analysis, suspicious behavior detection, and process automation, strengthening the organization's ability to respond to threats and make informed decisions.

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