Descripción del proyecto
Gestión de la cadena de suministro en la logística y el transporte
La tecnología de seguimiento es importante para la gestión de la cadena de suministro en la logística y el transporte. La información que se obtiene permite que las partes interesadas optimicen la asignación de recursos. Hoy en día, las empresas que poseen o alquilan equipos de construcción, así como las empresas de transporte y logística, utilizan sistemas de seguimiento móviles que no ofrecen seguimiento en tiempo real. En este contexto, en el proyecto financiado con fondos europeos OMNISCIENT se propone una nueva plataforma de «software» como servicio, basada en análisis inteligentes y estadísticas, que permite la localización, gestión, previsión y planificación en tiempo real de los activos móviles. En concreto, ofrecerá una fiabilidad de transmisión de datos del 98 % y abordará problemas con la transmisión ineficiente de datos al permitir cubrir zonas remotas.
Objetivo
Everysens, a French SME company, expert in IoT and Software as a Service (SaaS) solutions for the traceability and logistic sectors, proposes the next generation of intelligent based tracking solution for the market niches that face the challenges of mobile assets management. More precisely, this project targets business holding or renting high-value assets (such as construction and public work equipment, dumpster of waste) and transport and logistic companies (e.g. rail freight logistics). Today, most mobile tracking systems are addressed to motorised mobile assets and do not have enough autonomy to operate on non-motorised items (as wagons or dumpsters). They ensure a so called “continuous” tracking which practically is limited to sending periodic alerts with no real-time tracking and are not based on intelligent analysis and statistics that allows forecasting. Besides, current technologies experiment from inefficient data transmission, coverage challenges in remote areas and high energy consumption for the sensors. Everysens will offer them OMNISCIENT, a prediction SaaS platform based on bespoke artificial intelligence, not only for inventory but also to allow the real-time mobile asset localisation, management and accurate forecasting and planning to enhance operational efficiency of our clients and increase their revenues. Our technology presents a data transmission reliability of 98% and its modular structure allows to easily apply different business rules for different market applications. In this way, our customers will be able to contribute to European Initiatives to improve railway competitiveness such as the “Shift2Rail Joint Undertaking (S2R JU) initiative” or the Waste Directive Framework to build-up the traceability capacity along the recycling value chain. With the commercialization of OMNISICIENT, Everysens expects €10.3 million of accumulated revenues in 2024, which will require to dimension the company structure with 40 additional employees.
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyenvironmental engineeringwaste managementwaste treatment processesrecycling
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programa(s)
- H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
Tema(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEINST-1-2016-2017
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
59057 ROUBAIX
Francia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.