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Dynamic Pricing

Set up an optimised dynamic pricing system based on competitors prices

Challenge
  • Client looking to boost sales by improving rank on leading aggregator website

  • Wanted to implement a dynamic pricing model to accomplish this

  • Built a web-scraper to collect data on competitor pricing through the aggregator website

  • Trained a Machine Learning model to predict the present value of customer’s policy

  • Designed an interface for the client's domain experts to use the model

  • Integrated and automated all components in the client’s cloud infrastructure

Solution
Value
  • Online sales through the aggregator websites increased by 8%

  • Achieved higher average prices than through client’s own online portal

Roles

Data Scientist, Machine Learning Engineer

Tools

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Sector

Banking & Insurance

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