Acumatica–Postgres Sync for Beverage Operations: Match Case and Pallet Records Across Warehouses

What this looks like in beverages

Two warehouses describe a beverage shipment differently. One reports full pallets, the other reports cases plus a partial pallet. Operations needs a common comparison, but a pallet is not a universal unit: its case count depends on the product and loading configuration. A fixed conversion applied everywhere would hide the actual discrepancy.

Records, ownership, and update rules

Work through the process

1. 01
   Inspect the actual entities

   Review the Acumatica tenant’s exposed warehouse and transaction data with its administrator. Select only the confirmed objects and fields rather than assuming a generic connector includes every custom pallet attribute.
2. 02
   Model location and configuration

   Key quantities by warehouse, item, unit, and configuration where needed. Keep a full pallet distinct from a partial pallet and do not use a global case-per-pallet constant.
3. 03
   Build a transparent comparison

   Show original source quantities, the approved conversion, and normalized cases. Highlight unmatched configurations so an analyst can identify a modeling gap instead of interpreting it as a shortage.
4. 04
   Review changes at the source

   Let the responsible warehouse or ERP owner decide whether a count or configuration is wrong. After an approved correction, reconcile the accepted result without overwriting the previous evidence.
5. 05
   Query one mixed pallet in Postgres before adding more warehouses

   Pick one shipment that both warehouses handled and query its rows in Postgres. Every normalized case quantity should carry the warehouse key and the conversion factor that produced it, so an analyst can rebuild the number from the Acumatica source. Then find a mixed pallet in the same set. It must appear as separate item lines with their own case counts, not one row with an averaged factor, and a partial pallet must be flagged as partial. Stop the rollout if any row lacks a warehouse key, if a mixed pallet collapses into a single quantity, or if the same pallet shows different totals in Acumatica and Postgres.

Handle the exceptions explicitly

Mixed pallet contains several items

Represent its item-level contents; a single average conversion cannot establish quantities.

Configuration changed this season

Apply the effective version to the relevant shipment and preserve older records.

Warehouse key is missing

Stop the cross-location comparison until the origin can be established.

What to verify before expanding

• Every normalized quantity identifies its warehouse and conversion.
• Partial and mixed pallets remain distinguishable from full single-item pallets.
• A mixed pallet retains item-level case quantities; an average cases-per-pallet factor cannot settle its stock comparison.
• A missing warehouse key blocks the cross-location comparison instead of merging the count into a default warehouse.

Technical references

• Stacksync two-way sync quick start