{"id":2905,"date":"2026-06-23T10:51:07","date_gmt":"2026-06-23T10:51:07","guid":{"rendered":"https:\/\/artelnics.com\/case_studies\/schneider-quality-sales-analytics\/"},"modified":"2026-08-21T20:20:20","modified_gmt":"2026-08-21T20:20:20","slug":"schneider-quality-sales-analytics","status":"publish","type":"case_studies","link":"https:\/\/artelnics.com\/case_studies\/schneider-quality-sales-analytics\/","title":{"rendered":"Predicting quality impact on product sales"},"content":{"rendered":"
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Predictive analytics connects product quality, reputation and sales to guide both quality and commercial decisions.<\/p>\n

\n Electrical equipment<\/span>
\n Predictive analytics<\/span>
\n Quality and sales insight<\/span>\n <\/div>\n

Challenge<\/h2>\n

Product sales are affected by quality, reputation, price, competition and market context. The challenge is to quantify how failures and ratings influence sales performance.<\/p>\n

Data<\/h2>\n

The analysis used product families, sales data, review ratings, customer reviews and field failure rates, excluding discontinued products and cleaning inconsistent records.<\/p>\n

Solution<\/h2>\n

Artelnics built models and exploratory analytics to evaluate rating impact, field-failure impact, sales forecasts and potential product failure alerts.<\/p>\n

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Business question<\/strong><\/p>\n

How do quality and reputation affect sales?<\/p>\n<\/div>\n

Model outputs<\/strong><\/p>\n

Correlations, sales forecasts and failure-alert indicators.<\/p>\n<\/div>\n<\/div>\n

Results<\/h2>\n

The project turns quality and reputation data into measurable signals that can support product management, quality control and sales planning.<\/p>\n

Illustrations<\/h2>\n
\"Estimated
Ratings impact on sales<\/figcaption><\/figure>\n
\"Correlation
Sales and review correlations<\/figcaption><\/figure>\n
\"Correlation
Sales and failure rate correlations<\/figcaption><\/figure>\n<\/article>\n