Import delivery dates (tabular) – Tabular view

6 October 29, 2022
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Import delivery dates (tabular) – Tabular view

In tabular view, to import a file with articles delivery dates, make sure to have the articles listed in an Excel sheet with the following columns: Article Number, Delivery date 1, Delivery date 2 and so on, depending on the dates defined for the selected catalog as shown in the below example:

The delivery date that is marked with “Yes” in the above sheet is assigned to the article and the one marked with “No” is not.

Note:

  • You can import delivery dates for active and inactive articles.

To import a file with delivery dates, follow these steps:

  1. Click the Import button, the following window appears:
  1. Select the file then click Open, the name of the file you selected appears in its field,
  2. Click Select to browse for the file you want to import,
  3. Click Next, the following window appears:

You can click Back to return to the previous window.

  1. Select the sheet you want from the dropdown list in case your Excel file contains more than one sheet,
  2. Click Next, the following window appears:
  1. Select the column of the sheet that matches each field, you can search for the field you want using the search field, then click Next, the following window appears:
  1. Click the radio button next to the import method, either all rows or rows that match certain criteria, a validation window appears informing you if records are valid or not, if not, you need to fix the sheet then import the file again,
  2. Click Next, the following window appears:

The validation window shows the status of the import process, the total number of valid rows, and the total number of invalid and skipped rows. The above example shows that all the rows are valid.

  1. Click Next, the following window appears:
  1. Click Submit, the progress is displayed,
  2. Wait until the job is finished, then refresh the page, values are imported.

Notes:

  • If changes are not reflected on the page, refresh the browser by pressing F5.
  • If any of the records are invalid, you can skip them by clicking the checkbox next to Skip invalid rows as shown in the below example:

The Next button is activated, and you can import the valid rows.