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Logistics Network Optimization

Logistics Network Optimization with Decision AI | Baobab AI

What is the best way to transport a product between two points? At first glance, the answer may seem simple. In logistics network optimization, it rarely is. Which vehicle should be used? When should it depart? Can the trip be used…

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AI agents in supply chain: where they add value

Managing a supply chain involves coordinating information that changes continuously: orders, inventory, transport incidents, suppliers, documentation, deliveries, and forecasts. A significant part of the daily workload consists of consulting systems, gathering data, checking conditions, and transferring information between teams before action…

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The role of SEDIA in advancing logistics 4.0: Decision AI and synthetic data 

Given the pressure on costs and the need to operate in near real time, the ability to anticipate, simulate, and optimize operations has evolved from a competitive advantage into a fundamental requirement. In this context, the combination of data generation and…

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Why resource planning remains one of the biggest operational challenges in Public Administration

Resource planning conditions the daily operation of any organization providing an essential service. It ensures that the right people are in the right place, with the necessary means, and at the right time to respond to citizens’ needs while making the…

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Summer Retail: how to plan workforce schedules and pricing to maximize profitability

Every summer, the same pattern repeats itself. Stores located in tourist destinations welcome thousands of additional customers, seasonal product categories experience a surge in demand, and commercial activity intensifies over the course of just a few weeks. At first glance, this…

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Supply Chain Summit 2025

Madrid, November 25, 2025 – At Baobab AI, we hosted the Supply Chain Summit 2025, an event that brought together leaders and experts in operations, logistics, and technology to address a common challenge: how to make better decisions in increasingly complex…

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Advanced analytics in transportation: AI for complex decision-making

It is clear that transportation isn’t just about moving goods,it’s a complex system of interdependent variables, where every decision impacts costs, timing, and the overall customer experience. We’ve previously covered the foundations of advanced analytics; today, we’ll dive deeper into its…

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Smart AI supply chain management in retail

Efficiency is fundamental in retail. According to a study by Simbe and Coresight Research, companies in the sector have lost at least 5% of their operating margin due to inefficiencies in stock, pricing, and logistics. In the quest to minimize risks,…

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Autonomous Vehicles: A Potential Solution to the Last Mile Problem

The use of autonomous vehicles promises to achieve a significant reduction in the transport costs of the final section of distribution.

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4 Steps to transform Logistics with Artificial Intelligence

All companies, especially the larger ones, are undertaking an unstoppable digital transformation process. And it is not about incorporating technology for its own sake, but for their own survival: companies that will fall behind will disappear.

Among the most disruptive technologies is Artificial Intelligence with Advanced Data Analytics, which is playing an ever more important role in this digital transformation.

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