Parts
APX1035
Inventory Part
Product Details
Current Stock Details
 
Warehouse - Name
SKU
Inventory ID (Formula)
QTY Available
to Sell From
Inventory
QTY on
Hand -
Warehouse
Total Beginning Count (Text)
QTY Available to Sell From Inventory (Text)
QTY Available to Sell From PO (Text)
Item - U/M
Item - U/M Set
Item - Sales Description
 
XSimon APX1035 1-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
XRiver Plate APX1035 2-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
XForte APX1035 5-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Amazon APX1035 6-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
QUARANTINE APX1035 17-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Full Tilt-Swapped APX1035 20-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Accent-Swapped APX1035 19-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Quest Graphics APX1035 28-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Accent APX1035 7-973 1,417.0 1,417.0
0
1,417
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
MPIO APX1035 3-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Full Tilt APX1035 16-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Milpaws APX1035 4-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Valley APX1035 8-973 3,000.0 3,000.0
0
3,000
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
iSEE Office APX1035 12-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
In Transit APX1035 11-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Dylan - Xiamen APX1035 13-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Frank - Fountain Products APX1035 14-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Directly To Customer APX1035 18-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
In Production APX1035 21-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
China Vendor APX1035 29-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Domestic Vendor APX1035 30-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
PonyCorp APX1035 31-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Print It Big APX1035 34-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Inkspot APX1035 9-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
IG APX1035 10-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
LPC TX Visual APX1035 15-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Elite APX1035 32-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
Wunderlich APX1035 33-973 0.0 0.0
0
0
0
 each (ea) Each #1004 TETRA HOLDER - For 500ml Tetra-Pak
TOT       4,417.0 4,417.0            
Purchases
Created on July 20, 2017 at  8:14 AM (CDT). Last updated by Solutions, VARC on March 12 at  9:45 PM (CDT). Owned by Robertson, Barbara.
Barbara Robertson
VARC Solutions
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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.