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A new data pipeline & critical data models to ensure clothing retailers can rapidly predict & forecast customer, inventory & marketing needs in the fast-changing environment of COVID19 and its aftermath

A new data pipeline & critical data models to ensure clothing retailers can rapidly predict & forecast customer, inventory & marketing needs in the fast-changing environment of COVID19 and its aftermath
新的数据管道
批准号:
58333
负责人:
金额:
$10.09万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
COVID19 is disrupting the UK's clothing industry to an unprecedented extent. To survive, companies must make faster decisions in a rapidly changing landscape. Retailers agree on which decisions are a priority but don't have the adequate data, models & processes to respond in a timely manner. Their data sits in siloed systems, is slow to access and is missing essential attributes. This project sets out to create a new knowledge pipeline & set of data models, currently not available or possible using generic modelling. The objective is to give retailers more certainty and precision in their decision making, creating greater liquidity and operational stability. Ultimately this project delivers on mitigating the damage impact of COVID19, as best as possible. It also gives retailers a new tool set which moves them closer towards demand-driven/predictive forecasting, which will help optimise their supply chains in the future.The effects of the "extension for impact" funding will be to aid increasing the impact on the fashion retail industry and all the stakeholders affected by the plight of the industry by increasing the speed to market of the innovations described above.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: