Smart Ordering Plan as a Service

Información del proyecto

SOPaaS

Identificador del acuerdo de subvención: 815903

DOI

10.3030/815903

Proyecto cerrado

Fecha de la firma de la CE 2 Mayo 2018

Fecha de inicio 1 Junio 2018

Fecha de finalización 30 Septiembre 2018

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coste total

€ 71 429,00

Aportación de la UE

€ 50 000,00

Coordinado por

GENLOTS SA
Switzerland

Periodic Reporting for period 1 - SOPaaS (Smart Ordering Plan as a Service)

Período documentado: 2018-06-01 hasta 2018-09-30

Resumen del contexto y de los objetivos generales del proyecto

SoPaaS, which stands for Smart-Ordering-Platform-as-a-Service, is based on state-of-the-art machine learning algorithms developed by its co-CEO Mr Schenker in his master thesis at Swiss Federal Institute of Technology (ETH Zürich). To deploy SoPaaS, it is necessary to achieve several technical and commercial objectives during the Phase 2, notably comprising the development of SoPaaS optimization to incorporate additional extensions, end user´s validation, and developing a detailed dissemination and communication plan to ensure widespread of our technology through the main stakeholders.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

With the aim of further achieving the target objectives on Phase II, during this Feasibility Study we defined the technical and commercial objectives and validated a) commercial, b) technical & c) financial viability and a present contingent work-plan, risk mitigation strategy and budget.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

SoPaaS solves the industrial question of how much to order and when. Our proprietary machine-learning algorithms unlock untapped savings of 5-10% of total purchasing cost on average, meaning several millions per year for just one manufacturing site. Furthermore, we can introduce environment-friendly considerations as additional factors on the ordering plan calculation.

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