MÖBIUS UK Supply Chain Analytics Toolkit (MUSCAT) - Proof of Market
MÖBIUS UK Supply Chain Analytics Toolkit (MUSCAT) - Proof of Market
批准号:
700378
负责人:
金额:
$3.19万
依托单位国家:
英国
项目类别:
GRD Proof of Market
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
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英文摘要
Project Purpose: To assess the commercial viability of Supply Chain (SC) Analytics offered as a Service.Supply Chain Analytics helps businesses make better decisions and so optimise their supply chains, resulting in a myriad of benefits from reduced transport costs to less waste of out-ofdate product. Businesses using SC analytics can also benefit from improved customer service levels leading to increased sales. In our experience having increased visibility through analytics helps reduce overall working capital employed by 8-31% and increase sales by 1-5% so leading to reduced costs and higher growth, investment and employment.To date, most businesses implementing SC analytics have done so independently, investing heavily in analytics systems and tools as well as recruiting increasingly scarce analysts, which has consequently limited the widespread adoption of comprehensive SC analytics. Cloud computing and the ‘as a service’ model are hailed as breakthroughs which enable businesses to access capability-on-demand and innovative service offerings.Notably Analytics as a Service (AaaS) differs from a “standard” Software as a Service (SaaS)model: SaaS is the IT used to offer the same software to multiple users thus to maximising thevalue of IT investments. AaaS is not an IT service nor technology. It is the bespokeprocessing of the analysis and interpretation of the analytical output tailored to the specificcharacteristics of the client’s business, supported by appropriate analytical software tools.MÖBIUS UK’s vision for this new service is to make supply chain analytics available toSMEs and mid-market companies by combining “off-the-shelf” software from leading vendorswith our in-house expertise in supply chain management using an AaaS model. Thecommercially innovative aspect of this project is in moving supply chain analytics fromcapital expenditure to operating expenditure by developing an “as a service” model.
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