Sales Triager converts raw inbound leads into real-time, explainable sales actions. It scores leads using ML models, generates reason-cards for transparency, recommends playbooks, and triggers Salesforce tasks and Slack alerts.
RandomForest/Logistic Regression models (scikit-learn), Python scoring service, simulated Salesforce + Slack API triggers, Tableau-ready analytics exports, admin audit controls.
B2B sales automation, enterprise lead prioritization, measurable conversion lift tracking, CRM-integrated AI workflows.
To evolve into a closed-loop AI sales optimization engine with real-time enrichment, reinforcement-based playbook tuning, and enterprise-grade integrations.
Python, scikit-learn, Flask, Salesforce API, Slack API, Streamlit, Tableau