{"id":21013,"date":"2024-12-23T12:34:47","date_gmt":"2024-12-23T17:34:47","guid":{"rendered":"https:\/\/mexicomlogistics.com\/?p=21013"},"modified":"2025-01-02T10:04:54","modified_gmt":"2025-01-02T15:04:54","slug":"estado-actual-de-la-interacion-de-ia-en-el-transporte-y-la-logistica-en-mexico-e-u-a-y-canada","status":"publish","type":"post","link":"https:\/\/mexicomlogistics.com\/es\/estado-actual-de-la-interacion-de-ia-en-el-transporte-y-la-logistica-en-mexico-e-u-a-y-canada\/","title":{"rendered":"Estado Actual de la integraci\u00f3n de IA en el Transporte y la Log\u00edstica en M\u00e9xico, E.U.A. y Canad\u00e1"},"content":{"rendered":"
[vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730130543669{margin-bottom: 0px !important;}\u00bb]El uso de la inteligencia artificial (IA) en la industria de transporte y log\u00edstica est\u00e1 cobrando una importancia cada vez mayor y parece ser casi inevitable. Las empresas est\u00e1n reconociendo que la IA puede mejorar significativamente las operaciones y la eficiencia. Con l\u00edderes en Canad\u00e1, E.U.A. y M\u00e9xico mostrando un fuerte inter\u00e9s en inversiones en IA, es evidente que toda la regi\u00f3n de Am\u00e9rica del Norte se est\u00e1 moviendo hacia soluciones tecnol\u00f3gicas m\u00e1s avanzadas. A medida que las empresas se adaptan a estos cambios, se espera que el panorama log\u00edstico se transforme en un futuro cercano.<\/p>\n

\u201cUn notable 50% de los l\u00edderes en M\u00e9xico afirman que el uso de IA es \u2018generalizado\u2019 dentro de sus organizaciones, lo que significa que la IA se utiliza en todos los departamentos y que los empleados est\u00e1n capacitados para usarla, un porcentaje m\u00e1s alto que en cualquier otro pa\u00eds encuestado. Canad\u00e1 (34%) y E.U.A. (38%) no est\u00e1n muy lejos, lo cual puede deberse a que el 41% de los l\u00edderes de Am\u00e9rica del Norte afirman que invierten r\u00e1pidamente en las \u00faltimas soluciones tecnol\u00f3gicas, en comparaci\u00f3n con el 24% de los l\u00edderes europeos. Sin embargo, el 80% de los l\u00edderes europeos reportan que planean incrementar sus inversiones en IA en el pr\u00f3ximo a\u00f1o, lo que sugiere que no pasar\u00e1 mucho tiempo antes de que la adopci\u00f3n sea generalizada sin importar la regi\u00f3n.\u201d – Samsara<\/p><\/blockquote>\n[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][vc_single_image image=\u00bb21041″ img_size=\u00bbfull\u00bb alignment=\u00bbcenter\u00bb css=\u00bb\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730130918299{margin-bottom: 0px !important;}\u00bb]\n

Adopci\u00f3n Actual de IA en M\u00e9xico<\/h3>\n

En M\u00e9xico, la adopci\u00f3n de IA y tecnolog\u00edas digitales contin\u00faa en aumento, aunque los desaf\u00edos en infraestructura y regulaciones limitan su pleno potencial. Las empresas, especialmente en el sector log\u00edstico, est\u00e1n aprovechando la IA para optimizar rutas, realizar mantenimiento predictivo y automatizar almacenes. Sin embargo, la infraestructura obsoleta y las regulaciones vigentes representan obst\u00e1culos. Las compa\u00f1\u00edas reconocen que la adopci\u00f3n de IA es fundamental para mantener su competitividad y est\u00e1n enfocadas en mejorar la eficiencia operativa y reducir costos. Seg\u00fan el informe \u00abPanorama de Innovaci\u00f3n en M\u00e9xico y Centroam\u00e9rica 2023\u00bb de KPMG, los datos y la anal\u00edtica se consideran transformadores para los pr\u00f3ximos tres a\u00f1os, con un 80% de las empresas priorizando estas tecnolog\u00edas. Adem\u00e1s, el 52% de las empresas est\u00e1n adoptando IA anal\u00edtica, y se espera que la IA generativa aumente la satisfacci\u00f3n del cliente (31%) y la productividad (25%). La mayor\u00eda de las empresas tambi\u00e9n planea realizar transformaciones importantes en productos o servicios durante este per\u00edodo.<\/p>\n

A pesar del entusiasmo, la industria de transporte y log\u00edstica enfrenta desaf\u00edos de inversi\u00f3n, restricciones regulatorias y un apoyo gubernamental limitado, lo que la mantiene rezagada frente a otros mercados. La Administraci\u00f3n de Comercio Internacional de los E.U.A. estima que alrededor del 30% de la poblaci\u00f3n de M\u00e9xico vive en \u00e1reas sin cobertura de banda ancha, lo que excluye a estas regiones del ecosistema digital. \u00abEl acceso a Internet lleg\u00f3 solo a 4 de cada 10 hogares, con estados m\u00e1s pobres como Oaxaca, Chiapas y Guerrero mostrando promedios de apenas 1 de cada 10. Esta condici\u00f3n ubica a M\u00e9xico entre los m\u00e1s bajos de la OCDE en penetraci\u00f3n de Internet, especialmente en banda ancha inal\u00e1mbrica\u00bb (Mecinas, 2016).<\/p>\n

Se espera que la demanda de servicios en la nube y soluciones de transformaci\u00f3n digital crezca, especialmente entre las grandes empresas, mientras que las peque\u00f1as y medianas empresas a\u00fan est\u00e1n en las primeras etapas de digitalizaci\u00f3n. Los sectores l\u00edderes en la adopci\u00f3n de tecnolog\u00edas digitales incluyen el comercio minorista, los servicios financieros, la log\u00edstica (con automatizaci\u00f3n de almacenes), as\u00ed como el alojamiento y los servicios de alimentos, seg\u00fan reporta la Asociaci\u00f3n Mexicana de Internet.[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730131215051{margin-bottom: 0px !important;}\u00bb]\n

Adopci\u00f3n Actual de IA en los E.U.A.<\/h3>\n

La adopci\u00f3n de IA en los E.U.A. est\u00e1 avanzando r\u00e1pidamente, aunque de forma desigual entre diferentes industrias y regiones. Seg\u00fan un informe de PwC, la IA, incluida la IA generativa (GenAI), se ha convertido en una prioridad de inversi\u00f3n para las empresas de los E.U.A. En los \u00faltimos 12 meses, el 55% de las compa\u00f1\u00edas ha invertido en IA, consolid\u00e1ndola como su principal foco tecnol\u00f3gico. Adem\u00e1s, el 73% de las empresas en los E.U.A. ya ha integrado IA en al menos alguna parte de sus operaciones, subrayando su papel cada vez m\u00e1s relevante en la estrategia empresarial.<\/p>\n

Sin embargo, un estudio del MIT revela que la adopci\u00f3n de IA se concentra en empresas grandes y en sectores como manufactura y salud. Kristina McElheran, autora principal del estudio, se\u00f1ala que en 2017 solo el 6% de las empresas en los E.U.A. usaba IA y que desde entonces la adopci\u00f3n se ha centrado en firmas con m\u00e1s de 5,000 empleados. De hecho, m\u00e1s del 60% de las compa\u00f1\u00edas con m\u00e1s de 10,000 empleados ya est\u00e1n aprovechando la IA.<\/p>\n

Por sector, la manufactura, los servicios de informaci\u00f3n y el cuidado de la salud lideran, con alrededor del 12% de empresas en estos campos usando IA, en comparaci\u00f3n con apenas el 4% en sectores como la construcci\u00f3n y el comercio minorista. La adopci\u00f3n de IA se distribuye tambi\u00e9n de forma notable a nivel geogr\u00e1fico, no limitada solo a los tradicionales centros tecnol\u00f3gicos. Si bien la IA se emplea com\u00fanmente en ciudades como San Francisco, San Antonio y Nashville, tambi\u00e9n est\u00e1 ganando terreno en \u00e1reas inesperadas, como centros de manufactura en el Medio Oeste y ciudades del sur de los E.U.A., fuera de los epicentros tecnol\u00f3gicos tradicionales como Silicon Valley, Boston o Nueva York.<\/p>\n

Estas tendencias indican que, aunque la IA se est\u00e1 convirtiendo en una herramienta crucial para las empresas de los E.U.A., su adopci\u00f3n var\u00eda considerablemente seg\u00fan el tama\u00f1o de la empresa, la industria y la ubicaci\u00f3n.<\/p>\n

En el sector de transporte y log\u00edstica, la adopci\u00f3n de IA est\u00e1 en aumento, con el 34% de las empresas utilizando IA para tareas como la optimizaci\u00f3n de rutas, seg\u00fan un estudio de HERE Technologies y AWS. No obstante, muchas empresas a\u00fan dependen de an\u00e1lisis de datos b\u00e1sicos, con un 50% que a\u00fan no utiliza tecnolog\u00edas m\u00e1s avanzadas que podr\u00edan agilizar las operaciones y mejorar la toma de decisiones. Entre las barreras para una adopci\u00f3n m\u00e1s amplia se encuentran los costos (23%), el temor a interrumpir procesos actuales (12%) y las dificultades para identificar socios adecuados (11%).<\/p>\n

A pesar de estos desaf\u00edos, se observa un progreso: el 44% de las empresas de log\u00edstica ya emplea datos de ubicaci\u00f3n y el Internet de las cosas (IoT) para el rastreo en tiempo real y la optimizaci\u00f3n de rutas de los conductores. Esta integraci\u00f3n gradual de tecnolog\u00edas avanzadas muestra que, aunque la adopci\u00f3n completa de la IA puede ser lenta, las empresas est\u00e1n avanzando hacia una mayor eficiencia y visibilidad en sus cadenas de suministro.[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730129588785{margin-bottom: 0px !important;}\u00bb]\n

Current AI Adoption in Canada
\n<\/strong><\/h3>\n

Canada The latest Canadian Survey on Business Conditions, conducted by Statistics Canada from April to May 2024, sheds light on the adoption of artificial intelligence (AI) across Canadian businesses. For the first time, the survey included questions specifically about the use of AI, aiming to understand its role in producing goods and delivering services. The findings reveal that 6.1% of businesses reported using AI technologies, with the most common applications being natural language processing (28.9%), followed closely by text analytics (27.0%), virtual agents or chatbots (26.5%), data analytics (25.0%), large language models (21.9%), and image and pattern recognition (21.8%). These technologies are transforming business operations, with AI adoption impacting both the tasks performed by employees and broader employment trends. The survey highlights a clear movement toward integrating AI in business processes, emphasizing the growing role of advanced technology in Canada\u2019s economy.<\/p>\n[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730129570245{margin-bottom: 0px !important;}\u00bb]\n

Are Ground Freight & Logistics companies in Mexico, the US and Canada ready to fully utilize AI?<\/h2>\n

The readiness of ground freight and logistics companies in Mexico, the US, and Canada to fully utilize AI varies across countries and logistics aspects such as transportation, cross-border logistics, and warehousing. Here’s a breakdown:[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730129562697{margin-bottom: 0px !important;}\u00bb]\n

Mexico<\/h3>\n

Transportation<\/h4>\n

Readiness: Growing adoption, but infrastructure challenges persist.<\/p>\n

Companies are beginning to implement AI for route optimization and predictive maintenance. However, the lack of comprehensive digital infrastructure in some areas limits full utilization.<\/p>\n

 <\/p>\n

Cross-Border Logistics:<\/h4>\n

Readiness<\/b>: Moderate; regulatory hurdles and technology adoption vary.<\/p>\n

While AI can streamline customs processes and documentation, many companies face challenges related to cross-border regulations and inconsistent data sharing between countries.<\/p>\n

Warehousing:<\/h4>\n

Readiness<\/b>: Increasing, with some leaders investing in automation.<\/p>\n

Warehousing operations are seeing advancements in automation and AI-driven inventory management. However, smaller companies may struggle with the upfront investment needed for these technologies.<\/p>\n[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730129710208{margin-bottom: 0px !important;}\u00bb]\n

United States<\/h3>\n

Transportation:<\/h4>\n

Readiness<\/b>: High; leading in AI adoption.<\/p>\n

Major logistics players are utilizing AI for fleet management, predictive analytics, and dynamic routing, making significant strides in efficiency and cost reduction.<\/p>\n

Cross-Border Logistics:<\/h4>\n

Readiness<\/b>: High; effective integration with Mexican logistics.<\/p>\n

U.S. companies have more established systems for integrating AI in cross-border logistics, improving compliance and streamlining processes through AI-driven platforms.<\/p>\n

Warehousing:<\/h4>\n

Readiness<\/b>: Very high; significant investments in automation.<\/p>\n

The U.S. is at the forefront of AI integration in warehousing, with automated systems, robotics, and AI for inventory management being widely adopted. Major retailers are leading this trend[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730129778478{margin-bottom: 0px !important;}\u00bb]\n

Canada<\/h3>\n

Transportation:<\/h4>\n

Readiness<\/b>: Moderate to high; steady adoption.<\/p>\n

Canadian companies are adopting AI for route optimization and fleet management, though the pace is slower compared to the US. There is a strong emphasis on sustainability in AI applications.<\/p>\n

Cross-Border Logistics:<\/h4>\n

Readiness<\/b>: Moderate; ongoing improvements needed.<\/p>\n

Companies are working to improve cross-border logistics with AI, but face challenges in regulatory alignment and data sharing with US partners, which hampers full integration.<\/p>\n

Warehousing:<\/h4>\n

Readiness<\/b>: Increasing; investments in automation are growing.<\/p>\n

There is a gradual shift towards AI-driven automation in warehousing, with many companies exploring robotics and data analytics to improve efficiency. However, there remains a gap in widespread implementation compared to the US.[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730129823376{margin-bottom: 0px !important;}\u00bb]Overall, while there is significant momentum towards AI adoption in ground freight and logistics across Mexico, the US, and Canada, the readiness varies by country and logistics aspect. The US is leading in AI integration, particularly in transportation and warehousing, while Mexico and Canada are making progress but face specific challenges that may slow their full utilization of AI technologies.[\/vc_column_text][vc_empty_space height=\u00bb42px\u00bb][vc_empty_space height=\u00bb42px\u00bb][\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_empty_space height=\u00bb42px\u00bb][vc_column_text css=\u00bb.vc_custom_1730130543669{margin-bottom: 0px !important;}\u00bb]El uso de la inteligencia artificial (IA) en la industria de transporte y log\u00edstica est\u00e1 cobrando una importancia cada vez mayor y parece ser casi inevitable. Las empresas est\u00e1n reconociendo que la IA puede mejorar significativamente las operaciones y la eficiencia. Con l\u00edderes en Canad\u00e1, E.U.A. y M\u00e9xico mostrando un fuerte […]<\/p>\n","protected":false},"author":4,"featured_media":21044,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[94,85,86,57,87],"tags":[],"class_list":["post-21013","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-data-es","category-freight-es","category-shipping-to-mexico-es","category-supply-chain-logistics","category-supply-chain-logistics-2-es"],"yoast_head":"\nEstado Actual de la integraci\u00f3n de IA en el Transporte y la Log\u00edstica en M\u00e9xico, E.U.A. y Canad\u00e1 - 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