Predicting quality impact on product sales
Predictive analytics connects product quality, reputation and sales to guide both quality and commercial decisions.
Predictive analytics connects product quality, reputation and sales to guide both quality and commercial decisions.
Challenge
Product sales are affected by quality, reputation, price, competition and market context. The challenge is to quantify how failures and ratings influence sales performance.
Data
The analysis used product families, sales data, review ratings, customer reviews and field failure rates, excluding discontinued products and cleaning inconsistent records.
Solution
Artelnics built models and exploratory analytics to evaluate rating impact, field-failure impact, sales forecasts and potential product failure alerts.
How do quality and reputation affect sales?
Correlations, sales forecasts and failure-alert indicators.
Results
The project turns quality and reputation data into measurable signals that can support product management, quality control and sales planning.
Illustrations
