Productionise pricing and forecasting
Developed and productionised pricing recommendation and forecasting pipelines, improving forecast accuracy and within-10% prediction performance.
CASE STUDY / TEG / TICKETEK · PRICING & COMMERCIAL ANALYTICS
Price Pro: pricing recommendations and forecasting
Production pricing recommendations and forecasting pipelines, supported by Snowflake and GCP analytics workflows for sporting events.
01 / THE PROBLEM
What needed to work.
Sporting-event pricing decisions need reliable forecasts and accessible commercial insights. This work connected production forecasting and pricing recommendation pipelines with analytics workflows for business stakeholders.
02 / MY APPROACH
How I approached it.
Connect analytics workflows
Built and deployed scalable analytics workflows using Snowflake and Google Cloud Platform.
Make recommendations accessible
Enabled business stakeholders to access pricing recommendations and commercial insights for sporting events.
03 / SYSTEM OVERVIEW
Connecting the pieces.
- 01Forecasting pipelines
- 02Pricing recommendations
- 03Snowflake & GCP analytics
- 04Stakeholder insights
The work combined model development with the engineering needed to make forecasts and pricing recommendations usable by commercial stakeholders. Analytics workflows connected the production pipelines with business insights.
04 / OUTCOMES
Results in context.
Within-10% prediction performance
An improvement of 15.9 percentage points, as reported in the résumé.
Pricing and forecasting pipelines
Developed and productionised pipelines supporting pricing recommendations.
Price Pro is the project name supplied by Bhavya. The implementation and outcomes described here are based on the Ticketek pricing and forecasting work in the résumé.