Remove Analytics Remove Calibration Remove Construction Remove Personalization
article thumbnail

How to Properly Manage a Call Center Outsourcer

Expivia

There needs to be a constant cycle of constructive feedback, and you need to treat this relationship like a partnership. This will make sure that you get the most our of your calibration sessions and you will be able to trust the scores your call center partner should be giving you weekly. Have Weekly Calibration Sessions.

article thumbnail

Call Center optimization: Tools and best practices to increase performance

NobelBiz

Real-Time Dashboards and Post-Call Analytics: NobelBiz Call Log Analytics – Supervisor Dashboard Real-time dashboards provide a snapshot of ongoing operations, allowing managers to make informed decisions quickly. A well-calibrated IVR system is the cornerstone for intelligent contact center automation.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

We also share the key technical challenges that were solved during construction of the Face-off Probability model. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. The second important component of the architecture is Amazon Kinesis Data Analytics for Apache Flink. How it works.

article thumbnail

Your Ultimate Guide to Contact Center Outsourcing

Expivia

Collaborate and Calibrate Regularly : Any long-term partnership requires work and communication. Phones, headsets, skills-based routing, omnichannel connections, speech analytics, AI (artificial intelligence) , and self-service are some of the many tools of the trade that constantly improve. Experience Better Data Analytics.

article thumbnail

How Meesho built a generalized feed ranker using Amazon SageMaker inference

AWS Machine Learning

As an ecommerce platform, Meesho aims to improve the user experience by offering personalized and relevant product recommendations. Solution overview To personalize users’ feeds, we analyzed extensive historical data, extracting insights into features that include browsing patterns and interests.