项目作者: nconnector

项目描述 :
Quantitative decision making in automotive industry 🚘📊
高级语言: Python
项目地址: git://github.com/nconnector/automotive-market-analysis-platform.git
创建时间: 2019-10-13T21:11:40Z
项目社区:https://github.com/nconnector/automotive-market-analysis-platform

开源协议:GNU General Public License v3.0

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Automotive market big data project

Quantitative decision making in the world of cars

Use cases

  • Private buyers and vehicle owners

  • Dealers working on inventory procurement

  • Insurance agents estimating vehicle value

  • Market researchers

What does it do?

  • Aggregates the entire Canadian automotive market
    • Minimal update latency
    • Over 10 million vehicles in historical data
  • Offers simple live market view

  • Looks for patterns

    • Flags vehicles with invalid data
    • Tags based on keyword analysis (e.g. passed inspection, new tires, one owner)
    • Creates Value Indexes for each model

  • Estimates vehicles’ values
    • Contaminated data excluded from index calculations
    • Indexes account for seasonal and other price fluctuations

Additional Features

  • Dealer market and Private market differentiation

  • Vehicle’s depreciation estimation with respect to age and mileage

  • Business intelligence (complete view of any dealership)

Technology Used

  • Python 3.7
  • Django
  • MongoDB