zenloop
zenloop is a platform for complex measuring customer satisfaction using NPS (Net Promoter Score) methodology. Working with zenloop's founders, we created a fully functional tool designed to transform NPS methodology into a more actionable set of tasks to increase customer satisfaction.
With zenloop's vision for creating a complex NPS tool, we started working together to first shape that vision into a product concept. We followed this by moving the concept into the MVP stage and, later on, into a fully functional product.
CX Automation
Software Development
Machine Learning
UX / UI Design
Solutions
Using the speed of Elixir technology, we created a real-time processing flow and a variety of queuing systems that allow for complex, multi-staged processing of incoming answers and scores. The zenloop tool is capable of performing the necessary computations in order to efficiently utilise data and present it to the end user.
MACHINE LEARNING
Data processing capabilities
We’ve managed to create a platform that supports the gathering, analysing, and aggregating of large amounts of data with real-time processing that includes machine learning-aided topic detection of the incoming comments and sentiment detection.
SOFTWARE DEVELOPMENT
Unified workflow pipeline
The processing pipeline that LLI built can detect language, assign topics, and detect sentiment per each topic for hundreds of thousands of messages incoming into the zenloop system.
SOFTWARE DEVELOPMENT
Reporting system
The system’s workflow pipeline is aided by its reporting system, which allowed for a high-level overview on the aggregated data. By providing the most common topics, their sentiments, the most impactful topics, we made it possible to obtain a comprehensive look at actionable customer feedback.
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