Smart Ordering Plan as a Service

Informations projet

SOPaaS

N° de convention de subvention: 815903

DOI

10.3030/815903

Projet clôturé

Date de signature de la CE 2 Mai 2018

Date de début 1 Juin 2018

Date de fin 30 Septembre 2018

Financé au titre de

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coût total

€ 71 429,00

Contribution de l’UE

€ 50 000,00

Coordonné par

GENLOTS SA
Switzerland

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

Période du rapport: 2018-06-01 au 2018-09-30

Résumé du contexte et des objectifs généraux du projet

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.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

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.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

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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