Smart Ordering Plan as a Service

Informazioni relative al progetto

SOPaaS

ID dell’accordo di sovvenzione: 815903

DOI

10.3030/815903

Progetto chiuso

Data della firma CE 2 Maggio 2018

Data di avvio 1 Giugno 2018

Data di completamento 30 Settembre 2018

Finanziato da

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Costo totale

€ 71 429,00

Contributo UE

€ 50 000,00

Coordinato da

GENLOTS SA
Switzerland

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

Periodo di rendicontazione: 2018-06-01 al 2018-09-30

Sintesi del contesto e degli obiettivi generali del progetto

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.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

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.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

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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