Anodot
Case Studies
AI-Powered Business Monitoring: A Case Study on PUMA and Anodot
Overview
AI-Powered Business Monitoring: A Case Study on PUMA and AnodotAnodot |
Networks & Connectivity - NFC Sensors - Dimension & Displacement Sensors | |
Equipment & Machinery | |
Procurement | |
Behavior & Emotion Tracking Time Sensitive Networking | |
System Integration Training | |
Operational Impact
The implementation of Anodot's AI-powered business monitoring solution provided PUMA with unprecedented insights into their business. By dicing data into multiple dimensions, problems that weren’t known and trends that no one had ever seen became crystal clear. This eliminated the need for guessing invisible trends or wasting time trying to understand the root cause of a drop in a static dashboard. Furthermore, Anodot's metric correlations tool helped PUMA understand their business from a perspective never seen before. In the future, PUMA plans to add more use cases, such as customer experience, by measuring the processing time of the website, and work on ads effectiveness by measuring the logins from ads worldwide. | |
Quantitative Benefit
Anodot's system can connect to any data source in 3-4 minutes. | |
The average onboarding process with Anodot takes up to 6 weeks. | |
Anodot expanded PUMA's view to a much broader metrics than just revenue, including transactions per minute, items per transaction, conversion rate, items added to the cart, and number of returning customers. | |