img
SAP

Improving Bulk Beverage Storage and Inventory Counts with SAP EWM

By: Sateesh Pala

Publish Date: October 30, 2026

A physical inventory count can be accurate and still leave a warehouse team with work to do. When the number of pallets in a bin differs from the system record, someone has to identify the missing or excess handling units and process the adjustment. Across a large warehouse, those extra steps can extend the counting cycle and keep operations on hold.

A leading US beverage company faced this issue as it moved from SAP Warehouse Management to SAP Extended Warehouse Management (SAP EWM). YASH redesigned the physical inventory process for its bulk storage operations, giving operators a guided counting workflow and building discrepancy handling into the same process.

The work also connects with an earlier SAP EWM case study in which we addressed shelf-life and batch management. Together, the two examples show how storage decisions affect the way stock can be counted and reconciled.

Start with the rules for sharing a bin

In the earlier case, beer produced within a given month shared the same expiration date. Different batches of the same product could therefore have matching shelf lives. The existing warehouse rules restricted those batches from sharing a bin, leaving storage fragmented and increasing pallet movements.

We introduced a validation check during putaway. SAP EWM compared the incoming handling unit with stock already in the proposed bin and allowed different batches of the same product to be stored together when their expiration dates matched. A different expiration date prevented placement.

This gave the warehouse more scope to consolidate pallets while maintaining shelf-life controls. It reduced storage fragmentation and unnecessary movements without relying on operators to make the shelf-life decision themselves.

Make the count straightforward for the operator

The physical inventory engagement addressed a different part of bulk storage. The existing radio frequency (RF) process did not provide a guided, bin-by-bin blind count, and operators had to interpret differences between the physical stock and the system record.

YASH combined storage configuration with a custom RF transaction. The configuration kept product and expiration characteristics consistent within each bin. Full-pallet storage simplified the conversion of the number of pallets counted into an inventory quantity.

At login, an operator receives an assigned list of bins. The RF screen hides the system quantity and asks for one value: the number of pallets physically present. SAP EWM then creates the physical inventory document and applies the defined tolerance rules.

Keeping the expected quantity out of view reduces the risk of a count being influenced by the system record. The simpler screen also makes the task easier for temporary staff and workers trained to cover more than one warehouse role.

Resolve stock differences within the workflow

The process also defines what happens when the count reveals a shortage or excess. This matters because capturing a number is only one part of completing a physical inventory event.

For a shortage, the configured logic identifies the oldest handling unit by creation date or goods receipt timestamp and marks it as missing in the physical inventory posting. The workflow also allows the operator to flag a handling unit manually when its physical location is known.

For excess stock, SAP EWM creates a handling unit using the product, batch, expiration date, and quantity derived from the bin context. It posts the new handling unit with the inventory adjustment, removing the need for a separate creation step after the count.

These rules give operators a consistent way to complete the task and reduce the amount of interpretation required after counting.

Review storage and counting together

The physical inventory framework supported more than 1,000 warehouse bins. Guided RF counting shortened count cycles, improved inventory accuracy, and reduced warehouse downtime during physical inventory events. The simpler workflow also lowered the effort needed to train operators.

For warehouse leaders planning an SAP EWM implementation or reviewing an existing setup, these examples offer a practical place to begin. Check whether bin rules reflect the product and shelf-life conditions that matter to the business. Then follow a physical count through to its final posting, including the steps needed when stock differs from the system record.

That review can reveal where an operator still has to make a decision the system could handle consistently. In these engagements, targeted changes to putaway validation and inventory counting helped warehouse teams use storage space more effectively and complete counts with fewer manual steps.

Talk to a YASH SAP EWM specialist about your bulk storage and physical inventory processes.

Sateesh Pala
Sateesh Pala

SAP Consultant

Related Posts.

AI Can Only Trust One
S/4HANA , SAP , SAP Business AI
AI in Asset Management
SAP , SAP AI , SAP S/4HANA
Why Unused SAP Data Costs More Than You Think
SAP , SAP Data Archiving , SAP S/4HANA

Why Unused SAP Data Costs More Than You Think

Bhavani Sankar Rajasekharuni

Digital Transformation and Innovation
SAP , SAP ECC , SAP S/4 HANA
SAP Archiving Projects
S/4HANA , SAP , SAP S/4HANA
Beyond Digital Transformation
Digital Transformation , SAP , SAP Business Data Cloud
From Integration to Innovation: Building the Intelligent Enterprise with SAP BTP in MEA
Digital Transformation , SAP , SAP BTP , SAP Transformation
Predictive Maintenance Is Only as Good as the System Behind It
Predictive Maintenance , SAP , SAP Managed Services
SAP IBP Harmonized Planning
SAPIBP , SAPIntegratedBusinessPlanning , SupplyChain