Supplier Invoice Payment Timelines
This dataset provides detailed, chronological records of supplier invoices, including submission, due, and payment dates, amounts, and payment statuses. It enables comprehensive analysis of cash flow, payment compliance, and supplier management, supporting audit, financial planning, and process optimization. The flat structure makes it ideal for integration with BI tools and compliance reporting systems.
Sample rows
preview · 8 of 200 rows · all 19 columns| invoice_idstring | payment_statusstring | invoice_amountfloat | is_overdueboolean | payment_methodstring | supplier_idstring | supplier_namestring | supplier_tax_idstring | invoice_numberstring | invoice_datedate | invoice_due_datedate | invoice_submission_datedate | currencystring | payment_datedate | payment_amountfloat | payment_referencestring | days_to_paymentinteger | created_atdatetime | updated_atdatetime |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| INV-00001 | paid | 495.25 | false | bank_transfer | SUP-00001 | Northland Foods Inc. | US112233445 | NF-20240101-001 | 2024-01-02 | 2024-01-17 | 2024-01-03 | USD | 2024-01-10 | 495.25 | TRX20240110A | 7 | 2024-01-03T10:32:19 | 2024-01-10T13:05:22 |
| INV-00002 | paid | 12250 | false | bank_transfer | SUP-00002 | Rapid-IT Services Ltd. | GB998877665 | RIT-INV-1001 | 2024-01-05 | 2024-01-20 | 2024-01-06 | GBP | 2024-01-18 | 12250 | TRX20240118R | 12 | 2024-01-06T11:09:14 | 2024-01-18T15:20:19 |
| INV-00003 | paid | 3050.75 | false | bank_transfer | SUP-00003 | EuroChem Logistics | DE445566778 | ECL-24-0115 | 2024-01-10 | 2024-01-25 | 2024-01-11 | EUR | 2024-01-23 | 3050.75 | SEPA20240123 | 12 | 2024-01-11T09:00:00 | 2024-01-23T12:01:33 |
| INV-00004 | pending | 187 | false | blank | SUP-00001 | Northland Foods Inc. | US112233445 | NF-20240110-002 | 2024-01-10 | 2024-02-09 | 2024-01-12 | USD | blank | blank | blank | blank | 2024-01-12T10:45:34 | 2024-01-12T10:45:34 |
| INV-00005 | overdue | 2415000 | true | blank | SUP-00004 | AsiaTech Components | CN334455667 | ATC-INV-2024-003 | 2024-01-15 | 2024-02-15 | 2024-01-16 | CNY | blank | blank | blank | blank | 2024-01-16T12:00:00 | 2024-03-01T14:53:20 |
| INV-00006 | paid | 876.4 | false | credit_card | SUP-00005 | Global Office Supplies | US556677889 | GOS-2024-0116 | 2024-01-14 | 2024-01-29 | 2024-01-15 | USD | 2024-01-25 | 876.4 | CC20240125F | 10 | 2024-01-15T08:12:12 | 2024-01-25T17:14:57 |
| INV-00007 | paid | 21500 | true | bank_transfer | SUP-00006 | Bright Energy Solutions | SE990011223 | BES-2401-004 | 2024-01-18 | 2024-02-02 | 2024-01-19 | SEK | 2024-02-05 | 21500 | TRX-SE-240205 | 17 | 2024-01-19T10:04:08 | 2024-02-05T16:36:11 |
| INV-00008 | cancelled | 0 | false | blank | SUP-00007 | Pacific Seafood Corp. | blank | PSC-2024-17 | 2024-01-20 | 2024-02-04 | 2024-01-21 | USD | blank | blank | blank | blank | 2024-01-21T08:59:59 | 2024-01-21T08:59:59 |
| INV-00009 | pending | 1800.5 | false | blank | SUP-00008 | MedEquip Partners | US223344556 | MEP-20240123-01 | 2024-01-22 | 2024-02-06 | 2024-01-23 | USD | blank | blank | blank | blank | 2024-01-23T13:45:01 | 2024-01-23T13:45:01 |
| INV-00010 | paid | 22500 | true | bank_transfer | SUP-00009 | LatAm Agro Products | BR442211889 | LAP-2024-05 | 2024-01-25 | 2024-02-24 | 2024-01-26 | BRL | 2024-03-01 | 22500 | TRX-BR-240301 | 34 | 2024-01-26T09:30:22 | 2024-03-01T15:20:55 |
| INV-00011 | pending | 350 | false | blank | SUP-00010 | Urban Renovations LLC | US667788990 | UR-2401-007 | 2024-01-28 | 2024-02-12 | 2024-01-29 | USD | blank | blank | blank | blank | 2024-01-29T14:11:04 | 2024-01-29T14:11:04 |
| INV-00012 | paid | 4520 | false | bank_transfer | SUP-00003 | EuroChem Logistics | DE445566778 | ECL-24-0120 | 2024-01-30 | 2024-02-14 | 2024-01-31 | EUR | 2024-02-10 | 4520 | SEPA20240210 | 10 | 2024-01-31T09:18:48 | 2024-02-10T10:04:11 |
| INV-00013 | cancelled | 115.85 | false | blank | SUP-00011 | Sunrise International | blank | SUN-2024-001 | 2024-02-01 | 2024-02-16 | 2024-02-02 | USD | blank | blank | blank | blank | 2024-02-02T13:02:13 | 2024-02-02T13:02:13 |
| INV-00014 | paid | 33000 | true | other | SUP-00012 | BigData Analytics Ltd. | IN983456712 | BDA-2402-01 | 2024-02-03 | 2024-02-18 | 2024-02-04 | INR | 2024-02-19 | 33000 | PAY-240219 | 15 | 2024-02-04T08:35:26 | 2024-02-19T09:48:32 |
| INV-00015 | pending | 645 | false | blank | SUP-00013 | Blue Ridge Textiles | US998877321 | BRT-INV-2024-2 | 2024-02-05 | 2024-02-20 | 2024-02-06 | USD | blank | blank | blank | blank | 2024-02-06T09:59:59 | 2024-02-06T09:59:59 |
| INV-00016 | overdue | 550000 | true | blank | SUP-00014 | Ocean Freight Lines | US222333444 | OFL-2402-003 | 2024-02-07 | 2024-03-09 | 2024-02-08 | USD | blank | blank | blank | blank | 2024-02-08T12:10:01 | 2024-03-12T09:31:00 |
| INV-00017 | partial | 14000 | false | check | SUP-00015 | Vega Pharmaceuticals | US849302119 | VP-2024-04 | 2024-02-10 | 2024-02-25 | 2024-02-11 | USD | 2024-02-22 | 13500 | CHK20240222 | 11 | 2024-02-11T14:06:56 | 2024-02-22T11:40:31 |
| INV-00018 | paid | 187.5 | false | cash | SUP-00016 | Green Valley Farms | CA112299887 | GVF-2024-001 | 2024-02-12 | 2024-02-27 | 2024-02-13 | CAD | 2024-02-17 | 187.5 | CASH240217 | 4 | 2024-02-13T08:30:10 | 2024-02-17T09:02:20 |
| INV-00019 | pending | 887.9 | false | blank | SUP-00017 | Supernova Engineering | US555444333 | SNE-24-05 | 2024-02-15 | 2024-03-02 | 2024-02-17 | USD | blank | blank | blank | blank | 2024-02-17T10:05:57 | 2024-02-17T10:05:57 |
| INV-00020 | paid | 29999.99 | true | bank_transfer | SUP-00018 | Techtree Innovations | US123450987 | TTI-2024-003 | 2024-02-18 | 2024-03-20 | 2024-02-19 | USD | 2024-03-22 | 29999.99 | TRX20240322T | 32 | 2024-02-19T11:22:49 | 2024-03-22T13:01:12 |
What the 200 rows show
from the 200-row sampleOverdue (payment status) stands out: 28 of its 28 rows have is_
- 25%is_
overdue = true - 850.7median invoice_
amount - 9currencies
- 895.4median payment_
amount - 12median days_
to_ payment
Median 850.7, from 0.0 to 5,000,000.
- string 9
- integer 1
- float 2
- date 4
- datetime 2
- boolean 1
Columns
19 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
invoice_id | string | Unique identifier for each supplier invoice.unique | INV-00001 |
supplier_id | string | Unique identifier for the supplier associated with the invoice. | SUP-00001 |
supplier_name | string | Full legal name of the supplier. | Northland Foods Inc. |
supplier_tax_id | string | Tax identification number of the supplier.optional | US112233445 |
invoice_number | string | Supplier's invoice number as provided on the document. | NF-20240101-001 |
currency | string | Three-letter ISO currency code for the invoice amount (e.g., USD, EUR).9 currencies | USD |
payment_method | string | Method used to pay the invoice (e.g., bank_transfer, check, credit_card, cash).bank_transfer · check · credit_card · cash · other · optional | bank_transfer |
payment_reference | string | Reference or transaction number for the payment.optional | TRX20240110A |
payment_status | string | Current payment status of the invoice.pending · paid · partial · overdue · cancelled | paid |
| Numbers 3 columns | |||
invoice_amount | float | Total amount billed on the invoice, in the invoice currency.0 or more | 495.25 |
payment_amount | float | Amount paid to the supplier for this invoice.0 or more · optional | 495.25 |
days_to_payment | integer | Number of days between invoice submission and payment date (null if unpaid).0 or more · optional | 7 |
| Dates and times 6 columns | |||
invoice_date | date | Date the invoice was issued by the supplier. | 2024-01-02 |
invoice_due_date | date | Date by which the invoice payment is due. | 2024-01-17 |
invoice_submission_date | date | Date the invoice was received/submitted to the company. | 2024-01-03 |
payment_date | date | Date the invoice was paid.optional | 2024-01-10 |
created_at | datetime | Timestamp when the invoice record was created in the system. | 2024-01-03T10:32:19 |
updated_at | datetime | Timestamp when the invoice record was last updated. | 2024-01-10T13:05:22 |
| True or false 1 column | |||
is_overdue | boolean | Indicates if the invoice was paid after the due date or remains unpaid past due date. | false |
Use it for
A finance dashboard
The is_
overdue rate, invoice_ amount by payment_ status and a breakdown of payment_ method. Excel, Power BI or Tableau. Why do 49 of 200 rows have is_
overdue = true? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Invoices200INV-00001495.25paidINV-000052415000overdueINV-0000721500paid
A software demo
Believable invoices with supplier_
id, supplier_ name and supplier_ tax_ id to fill a screen in front of a buyer.
blueprint · supplier-invoice-payment-timelines
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Track invoice issue and payment dates
- Log supplier and payment method
- Flag late payments
- Exclude tax identifiers
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- supplier-invoice-payment-timelines