Problem solved

Many businesses, especially small and medium-sized enterprises, suffer from unpredictable cash flow due to late customer payments and inefficient manual collection processes. Nvoyce solves this by using artificial intelligence to predict when invoices will be paid and automating the follow-up process, thereby reducing days sales outstanding (DSO), minimizing administrative burden, and providing clear visibility into future cash positions.

Use cases

• A small business owner uses Nvoyce to forecast weekly cash inflows from outstanding invoices, allowing better budgeting.
• A finance manager configures automated payment reminders that trigger based on predicted payment delays, reducing manual emailing.
• A credit controller segments customers by payment risk score to prioritize collection efforts and adjust credit terms.
• A freelancer automates client follow-ups, cutting time spent on collections and focusing on core work.
• A CFO monitors DSO and cash flow trends via the analytics dashboard to report to stakeholders.

Audience

• Business Users
• Enterprise
• Startups

Pros

• AI-driven payment predictions improve cash flow forecasting accuracy.
• Automated collections reduce manual follow-up effort and accelerate payments.
• Seamless integration with popular accounting software (e.g., QuickBooks, Xero).
• Customizable dunning campaigns and scheduling.
• Real-time analytics and risk scoring enable proactive credit management.

Cons

• No free tier; only paid subscription plans are available.
• Effectiveness depends on the accuracy and completeness of data in integrated accounting systems.
• May be overly complex for very small businesses with simple, low-volume invoicing.