Data Science was used to track, predict, and forecast prices based on various factors. We built an application in Ruby on Rails that lets shoppers pick the best prices for products from highly popular Australian stores, such as Coles and Woolworths. The app delivered great user experience by leveraging React for the web and React Native for mobile. We also designed a search algorithm to scan product catalogs using Word2vec Deep Learning neural network and identified the cheapest product by geo-location.
Further, we simplified purchase decisions by comparing prices across brands, regions, and retail branches by predicting a product’s price (using logistic regression models) for the next 30 days. The shopping application also presented actionable insights using D3.js for visualization.