Total Outstanding
₹0
0 parties
>30 Days
₹0
0 parties
>60 Days
₹0
0 parties
>90 Days
₹0
0 parties
Collected (Period)
₹0
receipts
30-Day Forecast
₹0
expected inflow
Net Cash Position
₹0
receipts − payments
🤖 AI Daily Action List
AI Generated💡 AI Cash Flow Insights
Smart Analysis📈 30-Day Cash Forecast
Week-by-WeekExpected Inflow
Expected Outflow
Net Position
🔥 Top 10 Overdue — Call Today
Priority| Party | DSE | Outstanding | Overdue | Status |
|---|
Total Sales
₹0
Total Receipts
₹0
Total Purchases
₹0
Total Payments
₹0
📊 Monthly Cash Flow — Sales vs Receipts vs Purchases vs Payments
Sales
Receipts
Purchases
Payments
Net
📅 30-Day Week-by-Week Forecast
AI Model| Period | Inflow | Outflow | Net | Basis | Risk |
|---|
Model: Weighted moving average on monthly closing balances × credit term distribution × payment score. Overdue recovery factored into Week 1.
💸 Payment Breakdown
By Category🔄 Collection Efficiency
Receipts ÷ Sales👥 Customer-wise Aging Summary
Click party for drill-down
₹0 total
| Party Name ↕ | DSE / Incharge | Category | Avg 3M Billing ↕ | Outstanding ↕ | Current | >30d | >60d | >90d | Suggested CL | Score | Trend | Status |
|---|
📊 DSE Collection Performance
Collection % vs Billing⏱ DSE Overdue Exposure
Overdue Amount by DSE🏷 Outstanding by Category
📈 Category — Monthly Billing Trend
💳 Collection Rate by Category
📋 Category-wise Aging Breakdown
| Category | Parties | Total Billing | Outstanding | Collected | Collection % | Current | >30d | >60d | >90d | Avg Credit Term |
|---|
📁 Upload Tally Registers
Step 1Monthly Outstanding
Month-wise aging report .xlsx
Sales Register
Click to upload .xlsx
Purchase Register
Click to upload .xlsx
Receipt Register
Click to upload .xlsx
Payment Register
Click to upload .xlsx
Credit Note Register
Click to upload .xlsx (optional)
💡 To enable Customer DB: Save this file to your computer and open it in Chrome/Edge (not inside Claude). The Google Sheet (People tab) will load automatically — it's already shared with "Anyone with the link".
Column mapping: A=Unique ID · C=Category · D=Customer Name · E=Tally Name (used for matching) · G=Phone · J=DSE Name · K=Location
Column mapping: A=Unique ID · C=Category · D=Customer Name · E=Tally Name (used for matching) · G=Phone · J=DSE Name · K=Location
📖 How to Export from Tally Prime
Step 21
Open the Register
Gateway → Display More Reports → Account Books → Select register type
2
For Monthly Outstanding (Aging)
Gateway → Display More Reports → Statement of Accounts → Outstanding → set monthly columns view → export
Row 1–4: Company header
Row 5: Report name
Row 9: Period labels (e.g. "9-Feb-26 to 8-Mar-26")
Row 12+: Party data rows
Cols: Name | Opening | Debit | Credit | Closing (×4 months)
Row 5: Report name
Row 9: Period labels (e.g. "9-Feb-26 to 8-Mar-26")
Row 12+: Party data rows
Cols: Name | Opening | Debit | Credit | Closing (×4 months)
3
Export as Excel
Press
Alt+E → Excel (Spreadsheet) → Save · Do NOT edit the file before uploading4
Upload & Analyse
Upload all files above → Click ▶ Analyse in the header
📊 Data Summary
No data loaded
Upload files or click Demo to preview