Case Study: Ticketing Agency achieves COVID-19 churn reduction and AI-powered sales boost with EzappSolution

Covid-19 Customer Churn Reduction and AI Powered Sales Boosting

Ticketing Agency turned to Ezappsolution when COVID-19 exposed weaknesses in their BI stack: existing predictive reports couldn’t adapt to volatile market and risk scenarios, they had no prior AI capability, and fragmented customer data hindered retention and sales efforts. They engaged Ezappsolution for an AI‑powered analytics and sales‑optimization platform to address churn and rebuild their reporting and targeting capabilities.

Ezappsolution scrubbed sensitive data, created a single view of the customer, integrated ERP, booking engine, CRM and analytics, and deployed neural‑network and machine‑learning models (XGBoost, LSTM, clustering, CLTV, churn, recommendation and NLP/topic models). The implementation enabled COVID‑scenario market‑mix modelling to reallocate digital spend, improved customer acquisition and reduced churn, and produced actionable insights that optimized channel ROI and boosted sales performance.