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Home FEATURED

Fleet Optimization and Reverse Logistics, the Path to Enhance Last-Mile Delivery: Tiastica

companies need to know how to implement actions with the help of technological tools to properly handle returned packages that often do not make it back to central warehouses.

T21 Media by T21 Media
10 July, 2024
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Mexico, compared to Europe, Canada and the United States, still has areas of opportunity to understand and take advantage of the information generated by artificial intelligence that, accompanied by machine learning , contributes to optimizing logistics .

“In a good number of cases, when delivery routes are defined, it is assumed that the vehicle intended for the delivery of the goods is lost. That is, there is no monitoring of the units to verify their operating times or effective work spaces of the operators.

In this sense, the potential to continue using the vehicle and maximize profitability is a niche in which there is a lot of opportunity,” Adimir Benítez, founding partner and director of strategic solutions at TIASTICA , explained in an interview for T21 .

Another area of ​​opportunity that is important is the optimization of reverse logistics. The efforts made to prevent products from being returned are varied, since, in Benítez’s words, the products that leave the warehouse and are returned reach depreciate by up to 66%, this generates large economic losses and causes saturation in collection routes.

“We have to exploit the information to take advantage of the potential of the return of merchandise and look for how to disperse the displacement of product so as not to lose the profit margin of a sale, after a first sale that was not made correctly. Nor should we lose sight of the fact that there are still areas of opportunity in the maturity of the buyer so that the returns on the merchandise are increasingly smaller,” he defined.

Benítez emphasized that companies must also know how to implement actions with the help of technological tools to give the best purpose to the packages that are returned and that often do not return to the central warehouses.

Another great advantage of using artificial intelligence in logistics is making drivers’ time and productivity on the routes more efficient. “But this not only has to do with economics, but also with the quality of life of the operators. What we are looking for with technology is to make the companies’ business more profitable and at the same time dedicate less effort to managing the units and more time serving the market,” said Benítez.

Added to these objectives is the proper use of the units, and their care, especially when it comes to electric vehicles .

In Benítez’s opinion, the last mile in Mexico is in a stage of maturity, although, as a result of the pandemic and the growth of e-commerce , the implementation of technology increased, the reality is that today 34% of companies He is considering it, but does not have it in operation yet.

“Companies must understand that technology enhances their businesses, however, the tools must adapt to the needs of each company,” said the founding partner and director of strategic solutions at TIASTICA.

Comment and follow us on X:@Liznomas / @GrupoT21

Tags: artificial intelligenceLAST MILLELOGISTICS AND TECHNOLOGYmachine learningREVERSE LOGISTICSTHIASTICA

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índice de Confianza del Transporte y Logística – Cuarto trimestre 2023 10 destinos de exportación de vehículos pesados 2023 Descubre el Top 10 de destinos de exportación de vehículos pesados en México en 2023 La venta de vehículos pesados rompe récord en 2023 5 marcas de camiones más vendidas