Even the best Enterprise core needs a vetted product portfolio of supporting apps to meet unique business objectives.

Our team of architects has developed leading tools, apps, and accelerators to help fill fundamental gaps in the Digital Core and Supply Chain Planning applications. These products are fundamental to supply chain planning and operations at many of our industry leading clients today and can drive real value and differentiation to your business.

Accelerator Overview

While enterprise solutions promise end to end capability to support your business, it is often the case where certain critical functional gaps or inefficiencies exist when mapping to your specific business process.  Our portfolio of Accelerators has been built out over many years as our team encounters those gaps with clients across multiple industries and then creates solutions for them.  These can often be dropped into your system in a matter of days with the knowledge that the solution has been vetted with millions of transactions from years of client usage.

Roll over each block to find out more:
    • Allocation & Order Management Cockpit (AMC)
    • Allocation Qty Determination Calculation
    • ATP Confirmation Center (ACC)
    • Plant Maintenance Rules Based ATP
    • Subitem Suppression
    • Enhanced AFS Rescheduling
    • Allocation & Order Management Cockpit (AMC)

      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.

      Demo link
    • Allocation Qty Determination Calculation

      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.

    • ATP Confirmation Center (ACC)

      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.

      Demo link
    • Plant Maintenance Rules Based ATP

      The Challenge

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

      The Solution

      Packaged GATP solution enabling rules-based ATP for PM Orders (not possible through standard SAP).

    • Subitem Suppression

      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.

    • Enhanced AFS Rescheduling

      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.

    • Demand Planning Change Log Monitor
    • DP Data Upload
    • SNP Data Toolkit
    • Live Cache Data Extractor
    • Demand Planning Change Log Monitor

      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.

      Demo link
    • DP Data Upload

      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.

    • SNP Data Toolkit

      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.

    • Live Cache Data Extractor

      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.

    • Digital / Mobile Picking
    • Efficient Picking Route
    • Digital / Mobile Picking

      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.

    • Efficient Picking Route

      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.

    • Allocation & Order Management Cockpit (AMC)
    • Allocation Qty Determination Calculation
    • ATP Confirmation Center (ACC)
    • Plant Maintenance Rules Based ATP
    • Subitem Suppression
    • Enhanced AFS Rescheduling
    • Allocation & Order Management Cockpit (AMC)

      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.

      Demo link
    • Allocation Qty Determination Calculation

      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.

    • ATP Confirmation Center (ACC)

      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.

      Demo link
    • Plant Maintenance Rules Based ATP

      The Challenge

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

      The Solution

      Packaged GATP solution enabling rules-based ATP for PM Orders (not possible through standard SAP).

    • Subitem Suppression

      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.

    • Enhanced AFS Rescheduling

      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.

    • Demand Planning Change Log Monitor
    • DP Data Upload
    • SNP Data Toolkit
    • Live Cache Data Extractor
    • Demand Planning Change Log Monitor

      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.

      Demo link
    • DP Data Upload

      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.

    • SNP Data Toolkit

      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.

    • Live Cache Data Extractor

      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.

    • Digital / Mobile Picking
    • Efficient Picking Route
    • Digital / Mobile Picking

      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.

    • Efficient Picking Route

      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.

  • SCMA was able to design, develop, and deploy a full quote-to-cash system for our configure to order business in seven months! Our customers can now configure their own high performance servers on a portal they love and let us price and convert seamlessly. We are now running billions of dollars of revenue through the system.

    — Semiconductor Company

  • Our SAP AFS Rescheduling program used to run in three to four days so we couldn’t use it and had to do everything manually. SCMA rewrote the program and now it runs in three to four hours!

    — Apparel Company

  • By helping us define and ultimately implement a Finish to Order process, our MFG lead times were reduced and our rework nearly eliminated saving us close to $9M per quarter

    — Semiconductor Company

  • We were unable to leverage advanced gATP capabilities like Rules-based and Production Allocation as the native capability conflicted with our current platforms. We deployed SCMA’s Subitem Suppression and Allocation Management products in a matter of weeks and was good to go!

    — Pharmaceutical Company

  • Every sales order we process at our company runs through SCMA’s Allocation Management Cockpit and has for years. That’s millions of transactions and hundreds of billions of dollars!

    — High Tech Consumer Products Company

  • Getting data out of SAP APO for our reporting used to run in a daily batch job taking anywhere from twelve to fifteen hours. Once we deployed SCMA’s liveCache extractor, that batch job was running in minute.

    — Footwear & Clothing Company

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