{"id":50850,"date":"2026-03-05T09:27:55","date_gmt":"2026-03-05T08:27:55","guid":{"rendered":"https:\/\/amec.es\/acelera-pyme-office\/oap-artificial-intelligence-under-control-keys-to-the-european-regulation-to-prevent-business-risks-2\/"},"modified":"2026-03-09T10:54:16","modified_gmt":"2026-03-09T09:54:16","slug":"oap-artificial-intelligence-under-control-keys-to-the-european-regulation-to-prevent-business-risks-2","status":"publish","type":"page","link":"https:\/\/amec.es\/en\/acelera-pyme-office\/oap-artificial-intelligence-under-control-keys-to-the-european-regulation-to-prevent-business-risks-2\/","title":{"rendered":"Digitization of cargo management as a lever for logistics efficiency"},"content":{"rendered":"\t\t
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Digitization of cargo management as a lever for logistics efficiency<\/b><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/span><\/p>

The profitability of export operations in 2026 is conditioned by the ability to control variables previously considered secondary. We discuss with EasyCargo<\/a> how accurate freight planning can mitigate operational risks and ensure financial efficiency in the supply chain. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\"Truck
Fruit and vegetable cargo to be transported at different temperatures<\/figcaption><\/figure>
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The challenge of precision in industrial stevedoring<\/span><\/h5>

Today, the viability of industrial export depends on the ability to integrate technical data into processes that were previously purely operational. Detecting inefficiencies in cargo configuration has become a strategic priority; optimizing these flows not only cuts direct costs<\/span>, but stabilizes customer service and strengthens the company’s position in foreign markets.<\/span> <\/p>

This paradigm shift places load planning as a direct cost control axis, and not as a mere warehouse procedure. In this scenario, the digitization of stowage through load planners emerges as the necessary tool to convert volumetric data into tangible logistics savings. <\/p>

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Operational uncertainty: the risk of manual planning<\/span><\/h5>

Load planning based on intuition or basic spreadsheets creates a critical gap between theory and practice<\/span>.<\/p>

The main problem lies in the lack of predictability: not knowing the exact disposition of the goods until the time of physical loading often results in unplanned partial shipments, overweight on specific axes and systematic underutilization of the contracted volume.<\/p>

This inefficiency not only increases the cost<\/span> per unit transported, but also makes coordination with carriers more difficult and increases the risk of damage during transit due to inadequate stowage.<\/p>

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Digitalization applied to cargo<\/span><\/h5>

Traditionally, load planning was done manually or with simple methods that offered little visibility and flexibility. The use of specific technology makes it possible to project the configuration of packages in containers or pallets virtually. By validating the feasibility of the shipment prior to physical execution, the company gains predictability and minimizes<\/span> set-up times<\/span> at the dock. <\/p>

An example of this approach is EasyCargo<\/span><\/a>a digital tool for load planning and optimization<\/span> that maximizes the use of space and facilitates decision-making prior to the start of the physical operation.<\/p>

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Digitize to optimize<\/span><\/h5>

The solution is not to “digitize for the sake of digitizing”,<\/span> but to use tools that solve the transport geometry. In the case of EasyCargo, it is not just a matter of obtaining a 3D vision, but of operating as a load calculation tool with impact in three critical areas: <\/p>