Ecocarga: Transformando las cuentas por cobrar con IA generativa

Team Jump Cube • 18 de enero de 2026

Resumen ejecutivo


Ecocarga, una empresa líder de transporte y distribución en Colombia, enfrentaba desafíos importantes para procesar miles de facturas de venta generadas por sus cientos de conductores. Jump Cube, socio de AWS, implementó una solución innovadora que aprovecha Amazon Bedrock y Claude 3.5 Sonnet para automatizar el proceso de cuentas por cobrar. La solución redujo drásticamente el tiempo de procesamiento manual, logró ahorros significativos en costos y permitió que el equipo se enfocara en actividades de mayor valor. Esta transformación le ha permitido a Ecocarga escalar sus operaciones de forma eficiente, manteniendo la precisión en sus procesos financieros.


Sobre el cliente


Ecocarga es una empresa destacada de transporte y distribución con sede en Colombia, que opera una flota de cientos de conductores en todo el país. La compañía se especializa en ofrecer servicios logísticos confiables a empresas de todos los tamaños, gestionando numerosas entregas y transacciones diarias. Su compromiso con la excelencia operativa y el servicio al cliente la ha consolidado como un aliado confiable en el sector de transporte de la región.


Desafío del cliente


El rápido crecimiento de Ecocarga generó un aumento exponencial en el volumen de facturas de venta que debían procesarse. Con cientos de conductores realizando múltiples transacciones al día, el procesamiento manual de estos documentos se volvió cada vez más complejo y demandante. El equipo de cuentas por cobrar invertía incontables horas revisando, validando y procesando recibos en papel, lo que generaba:


  • Retrasos significativos en el procesamiento de pagos
  • Mayor riesgo de error humano en la digitación de datos
  • Aumento de costos operativos por el trabajo manual
  • Menor disponibilidad del equipo para actividades financieras estratégicas
  • Limitaciones para escalar a medida que crecían los volúmenes de transacciones


Sin resolver estos retos, Ecocarga corría el riesgo de afectar su eficiencia financiera y limitar su capacidad de escalar sus operaciones de manera efectiva.


Por qué AWS


Ecocarga eligió AWS como su plataforma en la nube por su portafolio integral de servicios de IA y machine learning, especialmente Amazon Bedrock, que brinda acceso a modelos fundacionales líderes. La sólida infraestructura de seguridad y los estándares de cumplimiento de AWS fueron claves para manejar documentos financieros sensibles. Además, la amplia experiencia de AWS soportando soluciones a escala empresarial y su fuerte presencia en Latinoamérica la convirtieron en la opción ideal para la iniciativa de transformación digital de Ecocarga.


Por qué el cliente eligió al partner


Jump Cube se destacó como el partner ideal para este proyecto por su experiencia especializada en soluciones de IA generativa y su trayectoria comprobada desarrollando soluciones a medida con servicios de AWS. Su plataforma low-code y su enfoque en innovación encajaron perfectamente con la necesidad de Ecocarga de una solución rápida y escalable. El entendimiento de Jump Cube de los retos específicos del sector transporte, junto con su experiencia en automatización de procesamiento documental, lo hicieron especialmente calificado para atender los requerimientos de Ecocarga.


Solución del partner


Jump Cube desarrolló una solución integral de procesamiento inteligente de documentos usando varios servicios clave de AWS:

La arquitectura de la solución se centra en Amazon Bedrock, que permite acceder a Claude 3.5 Sonnet, un potente modelo de lenguaje multimodal capaz de procesar texto e imágenes. El flujo inicia cuando los conductores envían facturas de venta escaneadas, que se procesan automáticamente mediante los siguientes pasos:


  1. Ingesta de documentos: AWS S3 almacena de forma segura los documentos escaneados entrantes.
  2. Procesamiento inteligente: Amazon Bedrock con Claude 3.5 Sonnet analiza los documentos y extrae información relevante como valores, fechas y detalles de la transacción.
  3. Enriquecimiento de contexto: Prompts personalizados desarrollados conjuntamente por Jump Cube y Ecocarga agregan contexto específico del negocio a la información extraída.
  4. Validación de datos: Validaciones automáticas garantizan la precisión y completitud de los datos extraídos.
  5. Integración: Los datos procesados se integran de manera fluida con los sistemas financieros existentes de Ecocarga.


Resultados y beneficios


La implementación de la solución automatizada de cuentas por cobrar entregó beneficios medibles y significativos para Ecocarga:

  • Reducción del tiempo de procesamiento de documentos en un 85%, pasando de un promedio de 12 minutos por documento a menos de 2 minutos
  • Disminución de errores de digitación manual en un 95%
  • Ahorros aproximados de $95.000 USD anuales en horas de trabajo de empleados
  • Mejora del flujo de caja al reducir en un 60% el ciclo de cuentas por cobrar
  • Aumento de la capacidad de procesamiento en un 400% sin necesidad de sumar personal adicional


Sobre el partner


Jump Cube es una empresa tecnológica innovadora que surgió de su laboratorio de prototipos para convertirse en un proveedor líder de soluciones empresariales a medida. Su especialidad es desarrollar e implementar soluciones impulsadas por IA generativa usando servicios de AWS Cloud. A través de su plataforma low-code propietaria, Jump Cube permite que las organizaciones desplieguen rápidamente soluciones personalizadas que impulsan el crecimiento del negocio y la eficiencia operativa. Su enfoque en innovación y su profundo conocimiento de los servicios de AWS la convierten en un partner valioso para empresas que buscan aprovechar tecnología de punta para su transformación digital.

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