Docker, NodeJS, React-Redux, MongoDB, Elasticsearch, Bitbucket Pipelines, Google cloud
Designed as a ticketing web app used to dynamically change price of a single ticket/listing by following predefined set of rules that are being set in support of interactive seat map which plots real time data statistics.
The tool conceptualizes the comparison of brokers inventory with market prices in real time manner. User Interface visualizes price trajectory over time and recommends optimal change targeting optimal time to sell and optimizing sale profit.
It significantly reduces inventory management time as well as ticket waste.
By constantly monitoring marketplaces end user has more frequent market insights which provides optimized inventory pricing in fast-paced changing markets such as StubHub and leads towards increased competitiveness.
Aside from main functions, the tool enables 360° view by outlining event sales data, historical trends, current state and market forecast. The analysis is based on external data points including weather data, demand metric, YouTube popularity, etc..