I need a propensity-modelling software package that plugs directly into our CRM system, website analytics, and sales database, unifying those streams into a clean, continuously updated dataset. On top of that data layer, the build must train, evaluate, and deploy the best-performing predictive models—whether regression, decision-tree, neural-network, or any other technique that proves superior—then surface the results through a lightweight web interface and an API our teams can call in real time. Key deliverables • Automated ETL jobs and data-quality checks for the three sources mentioned above • Modular training pipeline with experiment tracking, lift/ROC reporting, and feature-importance visuals • Scoring service exposed via REST (or GraphQL) endpoints plus an intuitive dashboard for non-technical users • Deployment scripts, environment setup notes, and a live hand-over session Please outline your earliest start date, high-level timeline, and anything you need from me—sample data, schema docs, cloud preferences—to begin immediately. This project is a priority, so once we agree on scope I’d like development to kick off without delay.