We took part in the webinar “Artificial Intelligence with Prescriptive Analytics: from Logistics Optimization to Pricing,” organized by Big Data Magazine and iNetwork, to share how, at Baobab Soluciones, we combine machine learning, artificial intelligence, and mathematical optimization to improve decision-making in complex business environments. During the session, we explained in a practical way the difference between descriptive, predictive, and prescriptive analytics, and how these disciplines can work together not only to anticipate scenarios, but also to recommend the best possible decision in each case.

Throughout the webinar, we presented real-world applications of this approach in areas such as logistics, transportation, telecommunications, energy, and pricing, explaining how these tools can help optimize routes, plan networks, size infrastructures, define prices, and improve operational profitability. The content provides a clear view of our working approach and how we transform complex business problems into measurable and actionable solutions.

This session is especially useful for anyone who wants to understand, in practical terms, how artificial intelligence and prescriptive analytics can generate real impact on operations, strategy, and business efficiency.If you would like to learn more, you can watch the full webinar here: