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Skylimit AR Aging Dashboard

AR Aging Dashboard with Tally ERP integration, multi-agent sync, dynamic risk assessment, and automated client messaging.

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Introduction

Managing receivables shouldn't require expensive ERP add-ons or sharing sensitive financial data with third-party services. SkyLimit AR Aging Dashboard is a privacy-first Accounts Receivable analytics tool built for businesses that use Tally. Simply upload your Tally export and instantly visualize customer balances, overdue invoices, aging buckets, collection trends, and receivable performance. Built by an accountant who wanted a simpler and more secure way to analyze receivables.

The Skylimit AR Aging Dashboard is a powerful, client-side web application designed to provide real-time accounts receivable (AR) intelligence and streamline collection workflows. It integrates seamlessly with Tally ERP by allowing users to upload standard export reports, transforming raw data into actionable insights. This dashboard is ideal for finance professionals, collection teams, and businesses aiming to optimize their cash flow and reduce bad debt risk.

Key features include:

  • Tally ERP Integration: Easily import Master Reports, Payment Logs, and Calling Lists exported from Tally ERP to populate the dashboard with all necessary invoice and payment data.
  • Comprehensive KPIs: Monitor critical financial metrics such as Total Outstanding, Total Collected, 90+ Days Aging, Today Collected, Total Parties, Total Invoices, Pending Invoices, Paid Invoices, and Calling List count. Advanced metrics like Days Sales Outstanding (DSO), Collection Effectiveness Index (CEI), Average Days Delinquent (ADD), 90+ Delinquency %, and Bad Debt Risk are also calculated and displayed.
  • Dynamic Aging Analysis: Categorize unpaid invoices by how long they've been outstanding (e.g., Current, 31-60 Days, 61-90 Days, 90+ Days). Users can toggle between "Due Date" and "Invoice Date" for aging basis.
  • Interactive Dashboard & Charts: Visualize AR data through intuitive charts, including Aging Bucket Distribution, Outstanding by Group, 90+ Days by Group, and Call Status Summary. Filters allow for granular analysis by Group, Aging Bucket, and Call Status.
  • Top Overdue Parties: Quickly identify and prioritize high-risk accounts with a dedicated section showcasing the top overdue parties based on outstanding amount and maximum overdue days.
  • Master Ledger: A detailed view of all invoices, sortable and filterable by various criteria such as Party Name, Invoice No, Group, Date, Due Date, Aging Bucket, Overdue Days, Original Amount, Pending Amount, Status, and Call Status.
  • Payment Desk: Efficiently log new payments received, linking them to specific customers and invoices. The payment log provides a searchable history of all recorded payments.
  • Calling List Management: Empower collection teams to manage follow-ups effectively. The calling list displays overdue invoices, allows for updating call statuses (e.g., Pending, Completed, Disputed, Unreachable), and adding remarks. It also features quick actions for sending payment reminders via WhatsApp or Email.
  • Robust Reporting & Export: Generate various reports for internal use or stakeholders, including Sync JSON (for data backup), CSV Report, PDF Report, Invoice Aging Report, Payment Trends Report, and Paid/Unpaid Ledger in Excel format.
  • Data Privacy & Security: A standout feature is its commitment to data privacy. All data processing and storage occur locally within the user's browser (IndexedDB). No data is transmitted to any server, ensuring complete confidentiality and user control. Users can clear or export their data at any time.

The Skylimit AR Aging Dashboard simplifies the complex task of managing accounts receivable, providing a secure, efficient, and user-friendly platform for proactive cash flow management. It empowers businesses to make informed decisions, accelerate collections, and minimize financial risk without compromising data privacy.

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Information

  • Publisher
    F9XR TeamF9XR Team
  • Websiteinakm.github.io
  • Published date2026/06/25

Categories

  • Finance
  • Business Analytics
  • Analytics

Tags

  • Web
  • Professional
  • English Supported
  • Free
  • Windows
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