Logistics is no longer understood without artificial intelligence. Faced with the growing pressure to deliver faster, reduce costs and minimize the environmental impact, the companies in the sector are forced to modernize. In this process, AI has become an essential ally, marking a before and after in the way they are planned, executed and supervised operations.
One of the most representative examples of this transformation is Planimatik, a platform specialized in the optimization of logistics processes through AI, which claims to have improved up to 40% the operational efficiency of companies that have adopted their technology. This impact is not only theoretical: the automation of tasks such as route planning, load assignment or real -time incident management is helping companies make faster and more precise decisions.
Automation not only speeds up processes, but improves their reliability. The solutions promoted by AI allow greater visibility on the supply chain, which translates into more specific deliveries, less incidents and a more rational use of resources. This anticipation capacity, based on real -time data analysis, also has a direct effect on customer experience, increasingly demanding with the traceability and flexibility of logistics services.
AI allows to improve in 40% the operational efficacy in the sectors of logistics and transportation
“Current logistics cannot depend on spreadsheets or phone calls to coordinate complex operations. IA provides a layer of analysis and automation that is no longer optional, but necessary,” says Fernando Correa, CEO and co -founder of Planimatik. And he adds: “Even small and medium enterprises can access advanced tools today that were previously reserved for large operators.”
Digital Gap in the supply chain
However, the rhythm of digitalization is not uniform. Despite the advances, many Spanish companies continue to operate with manual processes and uncoordinated tools. This fragmentation generates bottlenecks, remains agility to decision making and hinders adaptation to changing environments, such as those lived during recent supplies crises.
Faced with this reality, from Planimatik insist on the need to democratize access to technology. Its proposal is based on a scalable model, aimed at also SMEs can make the leap without the need for large investments or complex infrastructure.
Ia and sustainability: a key binomial
Beyond efficiency, artificial intelligence is also contributing to make the most sustainable logistics. The optimization of routes and loads allows to reduce fuel consumption, and therefore, emissions. An advantage that does not go unnoticed in a context in which the regulatory and social pressure for reducing the carbon footprint is growing.
“We are facing a turning point: artificial intelligence is no longer the future of logistics, it is the present. Our mission is to help companies make the leap towards a smarter, agile and sustainable operation,” concludes Correa.
