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Use Chata to keep up with customer repayment habits, improve cash flow, and boost revenue.

~4 minute read

Data-driven companies know that it’s crucial to understand how customer behavior, repayment habits, and trends in their accounts receivables (AR) affect revenue over time.

When it comes to AR management, invoices are typically issued with agreed upon terms and a payment deadline of Net 30 days or similar. But business owners and their team members know that these terms and deadlines don’t always ensure consistent repayment habits.

With AutoQL, anyone can easily keep a pulse on their AR metrics on an ongoing basis. This can give business users a better understanding of customer behavior. It can also help them more accurately anticipate future cash flow. One of the ways users can leverage AutoQL is through our natural language-driven Dashboards. Providing BI-grade results with zero learning curve allows anyone in an organization to keep an eye on the metrics that help them do their job.

Here’s how business users can quickly build powerful visualizations using the questions they already have about their data that allow them to stay on top of their AR at a glance:


Leverage AutoQL Dashboards to provide valuable insights to anyone who needs them

Using Dashboards, users can create a tile that displays the answer to “Average days to pay”. Then, they can easily create tiles that display the answers to follow-up questions like: “Average days to pay on invoices over $1000” and “Average days to pay on invoices over $5000”.

Dashboards are extremely flexible. When one question is answered, more are bound to arise, and AutoQL Dashboards are built to facilitate exploration and customization. Users can substitute invoice values that are meaningful to their business and change them at any time. They can also add tiles for any other invoice values that they might be curious about.

For a more detailed view, users can ask “Average days to pay per customer” and add in tiles with questions like “Average days to pay by customer on invoices above $5000” (or the invoice amounts customers take the longest to pay) to get a more comprehensive idea of individual customer behavior on those high-cost invoices.

They can add in visualizations for “Total AR by customer by month last 6 months” and/or “Total AR by customer” next to tiles filled with the information they receive when they’ve asked “Total AR balance,” “AR this month,” and “Overdue AR”.

They can even track their upcoming AR simply by asking for “Total unpaid invoices due by week for the next 12 weeks.”


When team members can find and track the data that matters to everyday decision making, they can more confidently create winning strategies that drive growth, faster than ever.


Keagan Perlette

Author Keagan Perlette

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