Objective
Food and non-food retailing are extremely competitive markets. Large retail groups concentrate their efforts on the exploitation of new consumer groups. They have developed information systems which deliver the necessary marketing information and also shorten the time delay between consumer demand and stock replenishment. High performance parallel computing is ultimately required for data warehouses. Present installations at the large retailing chains are based on massively parallel IT systems from US companies. Medium sized retailing companies are concerned that - although high performance computing is considered extremely beneficial for efficient consumer response tracking - these large systems are prohibitively expensive and not scalable to fit the needs of a medium sized company.
By clustering several symmetric multiprocessor nodes, a high performance data warehouse computer can be built at a reasonable cost. However, there is a lack of availability of decision support tools for consumer response tracking. It is not possible to develop these tools with the resources of a single medium sized retailer. The project will (i) satisfy the decision support needs of many medium sized retailers through a scalable solution, (ii) add user value by tailoring the functionality of the tools for retailers, and (iii) build a high performance parallel data loader for collecting sales info from many stores.
The result will be a scalable architecture and a set of pre-configured decision support tools that will help to improve the average trade margins not only overall but also for individual sales outlets, allow benchmarking between different outlets and help to optimize stock replenishment.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware supercomputers
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
51149 Koeln
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.