Intcomex, a leader in distributing technology products in Latin America and the Caribbean, sought to enhance its sales strategy through automation by leveraging Datagran's technology to implement a Cross-Selling model, initially executed manually. This initiative aimed to increase sales in less performing categories within a 15-day period by utilizing a product recommendation algorithm to personalize and generalize customer outreach. The model was applied in multiple countries, including Guatemala, Mexico, El Salvador, Peru, and Colombia, and was structured using Datagran's Pipelines feature to create efficient data funnels without extensive ML OPs support. The approach included RFM segmentation for personalized marketing and targeted product recommendations based on sales data. The implementation led to nine iterations, improving the model's effectiveness across different regions, and ultimately resulted in an 86.5% increase in total sales. Datagran's solutions enabled Intcomex to deploy models rapidly and effectively, allowing the organization to respond to customer behavior in real-time.