Descartes Systems Group, the global leader in uniting logistics-intensive businesses in commerce, announced that it has acquired Idelic, a leading provider of AI-powered driver safety and performance management solutions.<\/p>\n\n\n\n
Idelic\u2019s safety intelligence platform unifies day-to-day safety management activities such as training, monitoring, reporting and coaching into a single solution. With an AI analytics workflow designed to measurably impact driver behavior, fleets can proactively identify and reduce driving risk by leveraging the platform\u2019s unique dataset of more than 40 billion miles of telemetry and over 400,000 accident records. The company collects real-time, highly detailed event-level data through a connected network of more than 80 telematics, risk management, and regulatory system integrations. Built on years of machine learning applied to predictive accident models across more than one hundred and fifty fleets, Idelic\u2019s AI capabilities are field-proven in predicting driver risk and optimizing safety training interventions.<\/p>\n\n\n\n
\u201cProductivity and safety are equally critical for fleet operators,\u201d said James Wee, General Manager of Fleet Management at Descartes. \u201cThis acquisition adds critical data to our Global Logistics Network (GLN) and enhances Descartes\u2019 final-mile footprint by adding highly advanced fleet safety capabilities and deep domain expertise. Idelic\u2019s AI-powered predictive safety intelligence functionality, when combined with Descartes\u2019 industry leading routing planning and execution technology, enables us to deliver a complete and cutting-edge fleet performance management solution that uniquely incorporates driver behavior and safety signals into our robust operational data set.\u201d<\/p>\n\n\n\n
\u201cThe need for trusted, real-time fleet and operational data is becoming increasingly critical as customers advance their AI strategies,\u201d said Edward J. Ryan, Descartes\u2019 CEO. \u201cBy combining Idelic\u2019s predictive safety intelligence and unique, critical data with Descartes\u2019 GLN, we\u2019re strengthening the data foundation that powers smarter fleet performance decisions and safer, more efficient operations.\u201d<\/p>\n\n\n\n
Idelic is headquartered in Pittsburgh, Pennsylvania. Descartes acquired Idelic for up-front consideration of approximately US $28 million satisfied with cash on hand, plus potential performance-based consideration. The maximum amount payable under the all-cash performance-based earn-out is US $12 million, based on the combined business achieving revenue-based targets in each of the first two years post-acquisition. Any earn-out is expected to be paid in fiscal 2028 and fiscal 2029.<\/p>\n\n\n\n
Descartes Systems Group, el l\u00edder mundial en la unificaci\u00f3n de empresas con un uso intensivo de la log\u00edstica en el comercio, anunci\u00f3 que ha adquirido Idelic, un proveedor l\u00edder de soluciones de gesti\u00f3n del rendimiento y seguridad de conductores impulsadas por IA.<\/p>\n\n\n\n
La plataforma de inteligencia de seguridad de Idelic unifica las actividades diarias de gesti\u00f3n de la seguridad \u2014como la formaci\u00f3n, el monitoreo, la presentaci\u00f3n de informes y la preparaci\u00f3n (coaching<\/em>)\u2014 en una \u00fanica soluci\u00f3n. Con un flujo de trabajo de an\u00e1lisis de IA dise\u00f1ado para generar un impacto medible en el comportamiento de los conductores, las flotas pueden identificar y reducir proactivamente el riesgo de conducci\u00f3n aprovechando la base de datos \u00fanica de la plataforma, que cuenta con m\u00e1s de 40.000 millones de millas de telemetr\u00eda y m\u00e1s de 400.000 registros de accidentes.<\/p>\n\n\n\n La empresa recopila datos altamente detallados en tiempo real a nivel de eventos a trav\u00e9s de una red conectada de m\u00e1s de 80 integraciones de sistemas telem\u00e1ticos, de gesti\u00f3n de riesgos y normativos. Desarrolladas tras a\u00f1os de aprendizaje autom\u00e1tico (machine learning<\/em>) aplicado a modelos predictivos de accidentes en m\u00e1s de 150 flotas, las capacidades de IA de Idelic est\u00e1n probadas en el terreno para predecir el riesgo de los conductores y optimizar las intervenciones de formaci\u00f3n en seguridad.<\/p>\n\n\n\n \u00abLa productividad y la seguridad son igualmente cr\u00edticas para los operadores de flotas\u00bb, afirm\u00f3 James Wee, Director General de Gesti\u00f3n de Flotas en Descartes. \u00abEsta adquisici\u00f3n a\u00f1ade datos cr\u00edticos a nuestra Red Log\u00edstica Global (GLN, por sus siglas en ingl\u00e9s) y mejora la presencia de Descartes en la \u00faltima milla, al incorporar capacidades de seguridad de flotas altamente avanzadas y una profunda experiencia en el sector. La funcionalidad de inteligencia de seguridad predictiva impulsada por IA de Idelic, combinada con la tecnolog\u00eda de ejecuci\u00f3n y planificaci\u00f3n de rutas de Descartes, l\u00edder en la industria, nos permite ofrecer una soluci\u00f3n completa y de vanguardia para la gesti\u00f3n del rendimiento de flotas que incorpora de forma \u00fanica el comportamiento de los conductores y las se\u00f1ales de seguridad en nuestro s\u00f3lido conjunto de datos operativos\u00bb.<\/p>\n<\/blockquote>\n\n\n\n \u00abLa necesidad de contar con datos operativos y de flotas confiables y en tiempo real es cada vez m\u00e1s cr\u00edtica a medida que los clientes avanzan en sus estrategias de IA\u00bb, se\u00f1al\u00f3 Edward J. Ryan, CEO de Descartes. \u00abAl combinar la inteligencia de seguridad predictiva y los datos \u00fanicos y cr\u00edticos de Idelic con la GLN de Descartes, estamos fortaleciendo la base de datos que impulsa decisiones m\u00e1s inteligentes sobre el rendimiento de las flotas y operaciones m\u00e1s seguras y eficientes\u00bb.<\/p>\n\n\n\n Idelic tiene su sede en Pittsburgh, Pensilvania. Descartes adquiri\u00f3 Idelic por una contraprestaci\u00f3n inicial de aproximadamente 28 millones de d\u00f3lares estadounidenses, abonados con efectivo disponible, m\u00e1s una posible contraprestaci\u00f3n basada en el rendimiento. El monto m\u00e1ximo a pagar bajo este acuerdo de ganancias acumuladas (earn-out<\/em>) basado en el rendimiento y totalmente en efectivo es de 12 millones de d\u00f3lares estadounidenses, sujeto a que el negocio combinado alcance los objetivos de ingresos en cada uno de los dos primeros a\u00f1os posteriores a la adquisici\u00f3n. Se prev\u00e9 que cualquier pago por este concepto se realice en los a\u00f1os fiscales 2028 y 2029.<\/p>\n\n\n\n TodologisticaNEWS: Las principales noticias sobre puertos, log\u00edstica, transporte y comercio exterior<\/em><\/strong><\/p>\n\n\n\n\n
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