Ziel
The objective of this project is to commercialise the Valuechain.com Ecosystem. It is a scalable cloud-based platform that enables manufacturing businesses to optimise overall supply chain performance by connecting with supply chain partners, capturing and analysing real-time structured and unstructured data from internal and external sources, and providing multiple scenario plans to optimise individual company and overall supply chain performance through predictive analytics.
Valuechain.com Ecosystem is a disruptive technology and will catalyse the creation of 4 new SME business models in high value manufacturing sectors, unlocking the potential of vertical and horizontal integrated networks of businesses that could not previously collaborate effectively as the information exchange between businesses was very fragmented and manually executed.
Combining real-time knowledge of the supply chain with predictive analytics will provide unprecedented visibility and decision support for manufacturing supply chains and enable European manufacturing companies to monitor and mitigate supply chain risk, create dynamic collaborative supply chain networks by streamlining operations and reduce waste to improve global competitiveness.
Successful completion of a Feasibility Study, including 22 pilot trials, has proven customer interest and price point acceptance from all tiers of the supply chain. A technical development plan has been put together with focus on end user requirements captured. This project will enable Valuechain.com to build on its existing commercialised supply chain collaboration and mapping solutions and secure first mover advantage. The average annual revenue generated from license rental model and aggregated procurement commissions from each client is €1,200 and the potential market opportunity is €75,000,000 annual revenue within 5 years.
Wissenschaftliches Gebiet
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencessoftwaresoftware development
- social scienceseconomics and businessbusiness and managementbusiness models
- social scienceseconomics and businesseconomicsproduction economics
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEINST-2-2015
Finanzierungsplan
SME-2 - SME instrument phase 2Koordinator
L39 2BY Ormskirk
Vereinigtes Königreich
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).