Case Study: Global Cleaning Products Company achieves 27% incremental product revenue opportunity and 90% health‑inspection prediction accuracy with Avanade

Global cleaning products vendor discovers 27% incremental product revenue opportunity with Microsoft Azure

A global cleaning products vendor — a billion‑dollar business — faced fragmented, unusable data across multiple devices and systems that prevented a single view of the truth and limited business insight. The company engaged Microsoft Azure and Avanade to unify its data and build predictive analytics to predict health inspections with 90% accuracy and to capture new revenue opportunities, ultimately discovering a 27% incremental product revenue opportunity.

Avanade and Microsoft Azure consolidated data by extracting from Saleforce, IoT and internal systems using Azure Event Hubs and the Avanade Modern Analytics Platform (AMAP); processing with Azure Stream Analytics, Azure Data Factory and Microsoft Cognitive Services; and storing in Azure SQL and Data Lake. Analytics with Azure HDInsight and Power BI Services and Azure Machine Learning produced consumable dashboards and APIs (delivered via IoT devices, Saleforce portals, Power BI Embedded in Saleforce Canvas and a Xamarin field app monitored by Microsoft Application Insights), enabling ~90% inspection prediction accuracy, deeper customer loyalty and the 27% incremental revenue opportunity.