Monitorem

Reducing troubleshooting time by 80%

“Monitorem – the automated troubleshooter” reduces troubleshooting time by 80% with its unified view of ecommerce IT operations, business impact analysis and automated troubleshooting algorithms driven by machine learning.
Monitorem seamlessly delivers the power of Machine Learning through its integration flexibility to connect any data source or system. It just takes few hours to get the algorithms up and running. The data is then fed to predesigned algorithms or, custom machine learning algorithms to serve specific business requirements.
 Service Features

Unified view

Unified View of Customer brings the complete business process on to one screen. This One view helps you get a bird’s eye view of the real-time user experience snapshot as well as technical health without delving into the details.

Service Features

Automated Troubleshooter

Pre-built algorithm which detects the anomaly, crunch the numbers and give you accurate troubleshooting steps. It just takes few hours to get the algorithms up and running. The data is then fed to predesigned algorithms or, custom machine learning algorithms to troubleshoot an issue or serve a specific business requirement.

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Service Features

Smart Alerting

No more spamming the mailbox with random alerts. Our alerting algorithm generates a smart alert value based on previous data and duration, checks the probable influencers of the increase or decrease of the parameter, shoots an alert with suggested troubleshooting steps.

Service Features

Integration flexibility

Monitorem delivers the power of analytics through its integration flexibility to connect any data source, backend systems, CMS, OMS or any other 3rd party system. This gives us the ability to create the powerful algorithms which not only troubleshoot the technical problems but also present the business impact and provide automated solution recommendations to business problems.

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Unified view- User experience

oneview of customer

Automated troubleshooter and root cause analyser driven by Machine Learning

Automated Troubleshooting

Unified view- technology

oneview of architecture

Dashboard

Dashboard

Case Study

Screenshot for the case study

 Gap we fill

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