The Challenge

Operations teams want to manage their Product Allocations quantities on a regular basis but SCM’s DP Planning Books are slow and cumbersome.

The Solution

AMC is a bolt on to APO that allows for flexible management of Allocation and Order confirmation quantities on the same screen. Build on a completely configurable (rows, colors, calculations, etc) ALV grid structure, the xls-like user interface is up to 12x faster than managing in Planning Books while allowing multiple users to update data simultaneously.

The Challenge

Often times the hardest part about Allocation isn’t managing the values… its coming up with the equitable splits to begin with. Fair share, tops down, first come, etc strategies for filling Allocation buckets with constrained supply is a challenge for all.

The Solution

Leveraging data from both planning and execution systems along with a library of algorithms for the business teams to choose, the system will distribute the supply data set across the customer buckets to ensure the initial values map to the business strategy.

The Challenge

Once a sales order has been saved, the details of the ATP situation are lost. There is no historical log of the ATP checks for process improvement analysis.

The Solution

ACC creates a log for all ATP checks and provides a report to query those logs and perform on-demand Back Order Processing directly from the screen.

The Challenge

Inability to source PM Order components from multiple plants or utilize substitute products. Inefficient and costly inventory consumption.

The Challenge

Thousands of man-hours are required for rework when a new rules-based ATP check deletes sub items. All previously performed manual changes to sub items (like pricing conditions, texts, …) are lost and promised delivery dates can fluctuate.

The Solution

The accelerator code exchanges the plant and material on the main item without creating sub items in the sales order. It’s a modification which can be implemented on the ECC side and it is also compatible with APO backorder processing.

The Challenge

The large and complex sizing matrices associated with the SAP-AFS solution can result in Rescheduling runtimes far beyond what is acceptable to the business driving suboptimal workaround and usage models of the platform.

The Solution

SCMA has enhanced the logic to work more efficiently leveraging more modern techniques and parallel processing to bring the runtimes down from many hours to mere minutes allowing the teams to use the Rescheduling capability the way it was intended.

The Challenge

Forecast adjustments occur throughout the planning cycle. However, standard SAP functionality does not provide a user log that records the time, date, and value change of key figure changes in demand planning areas.

The Solution

The Demand Planning change log monitor allows real-time key figure demand planning area detailed user changes (ie. value, timestamp, user, batch or interactive, etc.) to be logged for reporting and analysis purposes. This eliminates cumbersome batch job processing to capture changes via backup methods.

The Challenge

Sales teams and even those closer to operations hate to use the native APO DP transaction to upload data from xls – its cumbersome, slow, and can crash with large data volumes.

The Solution

Custom built functions designed for speed allow used to upload thousands of rows of data in second allowing them to spend more time in xls on the business process and less time loading data into DP.

The Challenge

Ensuring the Master Data is complete and accurate prior to SNP solver runs, analyzing / storing CTM solve logs, and extracting mass data in real time is very challenging within APO.

The Solution

This Accelerators provides a series of queries along with a few custom tables to quickly analyze Master Data, CTM Logs, and super fast liveCache order series data extractions.

The Challenge

Extracting large data sets from DP and SNP planning areas is slow and cumbersome.

The Solution

This report lets you pull the data, in real time, directly from liveCache for immediate download to a planner’s best friend: xls.

The Challenge

Printing paper picklists and tracking product / batch selection in the warehouse is wasteful and time consuming with out the appropriate way to track efficiency.

The Solution

Handheld application (iOS or Android) which has a real-time connection to the SAP Delivery details guiding the picker through the warehouse in the most optimal path. Realtime pick validation and confirmations visible to the enterprise.

The Challenge

Even with advanced SAP eWM capability, routing a picker through the warehouse racks in the most efficient way isn’t optimized or easily adjusted as warehouse configurations change.

The Solution

Using easily managed meta data tags and ranking on the warehouse bin, bay, rack, etc layout, we have developed algorithms that search through all possible paths a picker could take and then minimize the steps through the racks to return a sorted picklist with the most efficient path.