Identify e-commerce losses and opportunities with machine learning

Identify e-commerce losses and opportunities with machine learning

Real time anomaly detection is critical for e-commerce companies first and foremost due to the fact that it can detect and alert on costly issues in the time series data of business metrics as they’re happening, long before the effects of lost revenue, negative social media shares, embarrassing news articles, or calls from upset customers start to mount. Anodot’s Sr Director of Customer Success, Nir Kalish, presents how E-commerce organizations can leverage the powerful anomaly detection capabilities of Anodot’s AI Analyitcs to proactively address business incidents in real time, protect revenue and keep customers happy.

Presented By Nir Kalish
Nir Kalish is the Sr. Director of Customer Success with Anodot. Nir is passionate about the two complimentary worlds of business and technology – strategizing to resolve data mysteries while upholding exceptional user experiences.