Atlantis Cattle

Per què?

El teu bestiar pastura lliurement per la muntanya i necessites tenir-lo controlat

Què és?

La teva solució per a  geolocalitzar i monitoritzar els teus ramats. Solució portàtil (App) + geolocalització en temps real + control de temperatura + control de sortida de límits territorials + mapes de calor per monitoritzar patrons de pastura.

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Atlantis Fleet

Per què?

La teva inversió en recursos mòbils (vehicles, maquinària, contenidors, capses amb material, etc.) no la tens controlada.

Què és?

Una solución flexible y multidispositivo para ayudar a las empresas, que tengan recursos móviles (coches, furgonetas, contenedores, maquinaria, cajas, objetos de valor, camiones, motocicletas, etc.) a mejorar su competitividad aplicando nuestra experiencia, flexibilidad, i personalización de productos y servicios basados en la tecnología IoT (Internet de las cosas) y la geolocalización.
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Atlantis PPU

Per què?

Una solució IoT (Internet de les coses) per a empreses de lloguer de maquinària, que els permet oferir als seus clients una nova modalitat de lloguer: el pagament per ús  (PPU / Sharing)

Què és?

Atlantis PPU és una solució multi-idioma claus en mà per a la gestió segura dels lloguers flexibles d’actius mòbils, que automatitza pràcticament tot el procés de lloguer, empoderant al client final per a que accedeixi fàcilment al vostre servei de lloguer flexible.
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Atlantis Work

Per què?

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Què és?

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Atlantis Trotti

Per què?

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Què és?

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My Atlantis

Per què?

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Què és?

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Atlantis Agry

Per què?

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Què és?

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Atlantis Delivery

Per què?

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Què és?

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Coffee

The agrifood sector must take advantage of the advances that the era of digitalization is bringing to improve its competitiveness and efficiency, to make better use of resources, and to improve response and adaptation time in the face of unforeseen events. In that sense, digitalization enables us to carry it out in a more intelligent and automated way, paving the way towards the complete autonomy of the systems.

However, different stakeholders in the food supply chain, and the products themselves, have changing conditions that greatly impact the logistical stages of product distribution.

There is a clear need to apply technology to help address these situations and foster disruptive advances in the sector, based on applied Artificial Intelligence techniques, Big Data analysis and/or other data-based approaches.

For this reason, ATLANTIS IT has decided to develop Atlantis Food, an innovative solution focused on the application of Artificial Intelligence to provide advice and support in each scenario, including conflictive ones.

The results of the action are a platform with prediction methodologies (time, cost, demand, e.g.), classification (orders, incidents, etc.), structure identification (group groups of similar orders and try to improve their management). , anomaly detection (detect unforeseen geographic and/or temporal events), which allows the optimization of resources/processes, the generation of knowledge, and reduce the response time in case of an incident or specific need.

The agrifood sector must take advantage of the advances that the era of digitalization is bringing to improve its competitiveness and efficiency, to make better use of resources, and to improve response and adaptation time in the face of unforeseen events. In that sense, digitalization enables us to carry it out in a more intelligent and automated way, paving the way towards the complete autonomy of the systems.

However, different stakeholders in the food supply chain, and the products themselves, have changing conditions that greatly impact the logistical stages of product distribution.

There is a clear need to apply technology to help address these situations and foster disruptive advances in the sector, based on applied Artificial Intelligence techniques, Big Data analysis and/or other data-based approaches.

For this reason, ATLANTIS IT has decided to develop Atlantis Food, an innovative solution focused on the application of Artificial Intelligence to provide advice and support in each scenario, including conflictive ones.

The results of the action are a platform with prediction methodologies (time, cost, demand, e.g.), classification (orders, incidents, etc.), structure identification (group groups of similar orders and try to improve their management). , anomaly detection (detect unforeseen geographic and/or temporal events), which allows the optimization of resources/processes, the generation of knowledge, and reduce the response time in case of an incident or specific need.

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