Sales Order Information
04-08-2025
9407
Closed
4501333425
Notes
250 clear wide apex units
https://app.hubspot.com/file-preview/22821650/file/188515197364/

*PDF Approval Required
*PDF approved 4/19


Artwork ordered through Accent 9/April:

250 Apex 5C inserts - NOCA

PO# 4179G
   

1 per box, inner & outer:

Mark PO # - 4501333425 on all cartons, packing lists, invoices and correspondences.

262-523-6616

ship as soon as ready
Ship LTL on customer account.

To schedule LTL:
https://account.chrobinson.com/
Username: mlarose@iseeinnovation.com
Passwrod: iSEEops2024!

All vendors must call 262-523-6022 for delivery appointment to the
 Boelter Beverage Distribution Center.

 Boelter PO # 4501333425 must be referenced on bill of lading
Mark PO # - 4501326264 on all invoices and correspondences.

send to:  apbeverage@boelter.com  and cc: ABuss@boelter.com
Supporting Notes & Docs
Created on April  8, 2025 at 11:37 AM (CDT). Last updated by Agrawal, Samir on May  6, 2025 at  3:30 AM (CDT). Owned by VonderHaar, Jessica.
Jessica VonderHaar
Samir Agrawal
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When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

Read more about converting a column into a table.