CLVTools vs VOZIQ AI Platform

CLVTools is a free, GPL-3-licensed R package for probabilistic customer attrition modeling when purchases are not governed by contracts. It implements Pareto/NBD, BG/NBD, Gamma/Gompertz/NBD, and Gamma/Gamma models. Using transaction histories with customer IDs and purchase dates, plus prices in its example data, it predicts individual customer behavior such as expected future transactions and the probability that a customer remains active. Forecast horizons can be configured, supporting predictive customer lifetime value work, cohort analysis, and customer segmentation. Time-invariant covariates work across the models, while some models accept time-varying covariates. Extensions include correlated purchase and attrition processes, L2 regularization, and equality constraints for contextual-factor parameters. Stable installation is available from CRAN; a development version uses GitHub and devtools. Linux, macOS, and Windows are supported, though compiling from source requires the external GNU GSL C++ library. Documentation includes a walkthrough, reference manual, and vignettes.

VOZIQ AI Platform provides AI-powered tools for subscription and recurring-revenue businesses seeking lower churn, higher subscription revenue, improved NPS and greater customer lifetime value. Its repository contains more than 100 subscription-industry features covering interactions, intent, sentiment, usage, geography, payments and tenure. The platform describes more than 10 machine-learning models trained on data from 20 million subscribers. Predictive scores, risk drivers, affinity modeling and business logic create microsegments from structured and unstructured data. A customizable offer bank, NPV calculations and matching support offer selection. Contact-center agents and field or service representatives can receive next-best-action and offer guidance. More than 25 dashboards provide anomaly detection and alerts for future CLV, revenue at risk, ARR and NPV. VOZIQ lists over 100 integrations, APIs and Reverse ETL connections. Deployment can use private, hybrid or public cloud. A BYOL solution is free of charge, though AWS infrastructure costs may apply; other pricing is on request.