Business Challenges that Initus Solves
NetSuite Collections Automation & Dunning Letters
Expedite cash flow and save your accounting team hours by automating rule-based dunning letters and ensuring collections communication hits the right customer entity every time.
Manual Overload
• Accounting teams spend days manually tracking due dates, calculating late fees, and drafting personalized collection emails for invoices.
• High human error rate in tracking and data entry.
• Repetitive work prevents focus on strategic finance tasks.
Delayed Cash Flow
• Failure to follow up promptly results in invoices frequently exceeding terms (Net 60/90), severely damaging working capital (DSO).
• Inconsistent follow-up schedules across the customer base.
• Slow payment cycles directly impact business liquidity.
Wrong Entity Errors
• Bills and reminders are often sent to the wrong subsidiary or address, requiring a payment clock reset and delaying receipt of funds.
• Costly delays when Net 90 terms are restarted due to a simple address error.
• Lack of visibility into who actually received the collection notice.
InitusDunning
Automated Dunning for NetSuite
Key Features & Automation
• Customer Entity Validation: Automatically cross-reference subsidiaries and contacts to ensure reminders are sent to the correct billing entity, eliminating address mistakes.
• Real-Time Balance Tracking: Provides consolidated, up-to-date customer balances and a logged history of all communication attempts directly in NetSuite.
The Result: Accelerated Cash Flow
• Expedited Cash Flow: Reduce average Days Sales Outstanding (DSO) by automatically executing reminders on time, every time, driving payments faster.
• Reduced Collection Errors: Eliminate the costly delays caused by manual errors like sending bills to the wrong subsidiary, saving weeks of waiting.
• Focus on Strategic Finance: Free up accounting staff from repetitive, low-value collections work to focus on analyzing financial performance and strategy.
Our Value
Our Collaborative Consult-and-Build Approach
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