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    Accounts Receivable Trend by Customer

    The Accounts Receivable Trend by Customer in Solver is a pre-built xFP&A report template available in the Solver Template Marketplace. It gives CFOs, FP&A managers, and controllers fast, reliable access to the financial and operational insights they need — without custom development.
    How can AR Reports Drive Faster and Better Decisions? As AR Managers increasingly become key advisors in accounting process improvement initiatives, they must rely on strong operational and financial reporting tools. Using interactive AR Reports like the Accounts Receivable Spending Trend By Customer template shown below enables them and other users from the accounting and FP&A teams to experience near real time receivables trend analysis by month and by customer that help drive faster and better decisions.

    Who uses Accounts Receivable Trend Reports and What are Some Key Analytical Features? In today’s fast-paced business environment, AR Managers are under high pressure to supply end users like AR staff and controllers with timely and concise reports. Companies use key features like the ones below to support their users with effective analysis that helps drive improved purchase planning, rate negotiations, and cash flow forecasting:
    • Receivables balances by customer
    • 13 month rolling AR trend detail with totals
    • Parameters with easy filtering by customer, business unit and period

    A Brief Description of the Accounts Receivable Spending Trend By Customer Template AR Reports like the one seen in the image above are interactive and parameter driven and typically contain sections with transactional detail with totals by month and customer. One of the important features that aid the user in the analysis process is the ability to drive improved purchase planning, rate negotiations, and cash flow forecasting. Accounts Receivable Spending Trend By Customer reports are often used in conjunction with AR dashboards, cash flow reports, trended balance sheets, budget and forecast input forms.

    Data Integration to Transaction Systems Most organizations these days want automated and streamlined planningreporting and analysis. However, many of the benefits described earlier rely on best of breed extended financial planning and analysis (xFP&A) tools and/or Business Intelligence (BI) capabilities as well as data marts or data warehouses that use pre-built integrations to the organization’s ERP system. Oftentimes, they also need integrations to other key data sources like CRM, subscription systems, payroll tools, etc. Modern, cloud-based ERPs like Microsoft Dynamics 365 Finance (D365 Finance), Microsoft Dynamics 365 Business Central (D365 BC), Sage Intacct, Acumatica, Netsuite and SAP have robust APIs which allow for dynamic integrations to xFP&A and BI tools that are fully automated and flexible to run on a schedule or on-demand.

    This Solver report template connects directly to your ERP data via the Solver Data Warehouse, enabling near real-time analysis with minimal setup. Designed for QuickStart deployment, it can be activated rapidly so your team can focus on analysis and decisions — not data preparation.

    What is the Accounts Receivable Trend by Customer in Solver? The Accounts Receivable Trend by Customer is a pre-built xFP&A report template in Solver that delivers key financial and operational metrics in a single, easy-to-use interface, eliminating the need for manual data work or custom report development.

    Who uses this Solver report template? CFOs, FP&A managers, and controllers use this report template to support month-end close, variance analysis, and management reporting. It is designed to be self-service and require no custom development.

    Where does the data come from? Data is sourced automatically from your ERP system through the Solver Data Warehouse, which integrates with platforms such as Microsoft Dynamics 365 Business Central, Dynamics 365 Finance, Acumatica, Sage Intacct, and other leading ERP solutions. Once connected, the template updates in near real-time with no manual data entry required.

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