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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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Decision AI: solve your transportation routing challenges and cut logistics costs

According to the 2024 Círculo Logístico Barometer conducted by SIL 2024, 89.5% of companies believe that innovation has been key to improving logistics efficiency, with automation and robotics playing a major role. Additionally, 49.2% of respondents indicated that Logistics 4.0 has…

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Decision AI: The key to driving strategic decision-making

Both high-level executives and decision-makers in organizations constantly face the challenge of making complex decisions that directly impact their business performance. In today’s fast-paced world, having the right information to anticipate future scenarios is more essential than ever. This is where…

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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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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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Timeline of industrial revolutions. Image by Sajjad Khaksari, 2018

Artificial Intelligence in Logistics 4.0

The term “Logistics 4.0” was coined a few years ago in close association with the wider known “Industry 4.0” concept, which refers to successive industrial revolutions: from mechanization with steam engines, through electrification and computerization, and reaching the use of intelligent and automated systems based on data in the 4th revolution. In Logistics, the same evolution has been followed and it is now the moment in which Artificial Intelligence is beginning to be used to improve processes.

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Warehouse optimization (II) – prediction and optimization

In a previous post, we presented the vision of the efficient warehouse and how to use discrete event simulation (Digital Twin) to support decision-making relevant to the design and operation of said warehouse. It remained for this post to describe other…

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Logistics after COVID 19

March 2020 has gone down in history as the month in which the COVID19 pandemic broke out in Western Europe. At its peak in April, half the world’s population was subjected to some form of preventive confinement. In addition to these…

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10 Keys to optimizing the supply chain with Decision AI

The supply chain has become the beating heart of business competitiveness. In the wake of years of disruption, from the pandemic to geopolitical and energy tensions, the pressure on logistics and planning leaders has only intensified. According to McKinsey, companies that…

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