Zuora, Inc. introduced Zuora Collections, leveraging AI to embed collections into the full customer lifecycle and accelerate cash flow. Zuora now uniquely combines billing, revenue, and collections data to collect cash faster while improving retention, cash forecasting, and customer account health. As companies launch and adapt innovative business models to meet shifting customer demands, every touchpoint, even collections, needs to strengthen customer relationships.

At the same time, finance teams are under constant pressure to manage working capital, reduce days sales outstanding (DSO), and ensure predictable cash flow. Yet too often, businesses treat collections as one-off invoices that are disconnected from the customer journey, putting retention and future revenue at risk. By incorporating collections into the full customer lif lifecycle, Zuora Collections provides finance teams with a complete view of payment behavior, account health, and commercial context, all alongside billing and revenue data.

AI-powered workflows and predictive insights help teams forecast collections outcomes and prioritize efforts, such as identifying high-risk accounts. Key features of Zuora Collections include: AI-Generated Insights: Segment and prioritize accounts with health scores built on historical payment behavior, engagement patterns, and risk indicators; AI-Powered Forecasting: Predict expected cash inflows using AI trained on historical collections data, delivering greater confidence in month-end outcomes and forward-looking cash flow; Contextual Collections Workflows: Automate outreach based on customer behavior, account risk, and billing history to improve efficiency and expedite payments; Collector Dashboard: Provide a complete view of overdue accounts, payment status, and risk signals in a single, centralized dashboard; CRM and Communication Platform Integrations: Coordinate collections tasks across teams and prompt sales teams to follow when it matters most; Task Management: Assign and track collections actions within a structured workflow for improved efficiency.