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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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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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AI in the last mile delivery: boosting retail profitability.

For retail companies, last mile deliveries cover the final stretch of the distribution process, from a logistics center to a store or the end customer. This part of the retail value chain might seem less relevant, but it has become a…

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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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Retail + AI: strategic alliance for flawless reverse logistics

As the e-commerce market expands and supply chains grow, companies must enhance their processes to enable efficient, two-way product flows in the retail value chain. Optimizing returns management and reverse logistics is essential for cost reduction, but implementing these changes can…

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Artificial Vision in retail: trendsetter or business booster?

The buzz around AI and its myriad applications seems ceaseless. Among the diverse array of possibilities, Computer Vision stands out as a potentially disruptive force in the realm of retail, promising to overhaul both store operations and the customer experience. Recent…

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