| Date | For | Name | Type | Good | Waste | Status | Entered By | Action |
|---|
| Process | Item | Bottle/Pack Size | Stock | Unit | Last Purchase | Action |
|---|
| Date | Supplier | Item | Qty | Rate | Amount |
|---|
| Name | DTF Rate | DTF Tax | Sublimation Rate | Sub Tax | Other Rates | GSTIN | Balance |
|---|
| Product | Unit | Rate | Tax Type | GST % |
|---|
| Product | Unit | Category | Default Rate | Default Tax | Status | Action |
|---|
| Name | Mobile | Role | Login Status | Action |
|---|
| No. | Customer | Firm | Total | Status | Action |
|---|
| No. | Customer | Firm | Type | Total | Due | Action |
|---|
| Date | Particular | Debit | Credit | Balance |
|---|
Revenue GST ke bina liya gaya hai. Material cost purchase history ke average rate se calculate hoti hai. Film/Paper cost me Good + Waste dono count hote hain; ink/cleaning/chip cost actual consumable usage entries se aati hai.
| Process | Good Qty | Waste | Revenue (Ex GST) | Film/Paper Cost | Consumable Cost | Total Material Cost | Gross Profit/Loss | Margin |
|---|
| Date | Process | Item | Used | For | Entered By |
|---|
CSV template download karein, Microsoft Excel me open karke rows fill karein, phir CSV format me hi Save karke upload karein.
Name, WhatsApp, DTF/Sublimation rate, GSTIN, address.
T-shirt, Oversize, Sash, Keychain ya koi bhi service/product.
Har customer ke har product ka alag rate.
Name, phone, role.
Firm name, GSTIN, address, state, state code, phone.
Process, item, opening stock, unit, bottle/pack size.
Supplier, process, item, qty, unit, rate, bottle/pack size, bill no.
Purane invoices ko stock effect ke bina bulk add karein.
Customer opening debit/credit balance.
Agar is browser/device ke purane local version me customers/products/production bache hue the, ye button unhe central data ke saath merge karega. Existing central records delete nahi honge.
Firms, customers, staff, inventory, purchases, production, consumable usage, invoices aur ledger sab ek JSON backup me download hoga.
CSV file select karein. Excel se edit/save ki hui CSV bhi supported hai. Comma, semicolon aur tab-separated CSV automatically detect hogi.
Entry successfully save ho gayi hai.