AI Churn Prediction and Growth Forecasting For Enterprise SaaS

Coditation's Data Scientists in Collaboration with its Product Engineering Team delivered an Enterprise SaaS Churn Analytics and Growth Forecasting Solution with industry leading outcomes.

Objectives

Deliver best-in-class churn and growth prediction accuracy through state of the art machine learning and AI models
Low solution on-boarding time ie. time to first recommendations
Design around explainability of predictions and recommendations
Out of the box support for Enterprise SaaS data sources as well as enterprise data warehouses
Provide choices to experiment with in-built and cutomized data sources and hence the M/L & AI models

Challenges

Enterprise scale data ingestion and preparation
Making every recommendation and prediction explainable
Delivering ease of use while providing ability to bring your own data and build AI experiments
Enterprise grade security and privacy / relevant compliances

Key Projects

BUILD YOUR OWN ML MODEL

BRING YOUR OWN DATA - INGEST, CLEANSE, TRANSFORM & STORE

SOC2 COMPLIANCE

MOBILE-FIRST FORM BUILDER

OPENAI GPT-4 INTEGRATION

DATA PROFILING AUTOMATION

PERFORMANCE ENGINEERING

Highlights

Over 50% Churn reduction in industries such as Internet communication, infrastructure SaaS, engineering and manufacturing SaaS
Processed over 2 petabytes of data for over half a million customers records
Solution on-boarding time of two weeks
Achieved SOC2 compliance