We’re called in to tackle today’s most challenging supply chain problems. We have the battle scars of success to show for it.

We are proud of our record of successfully helping clients reimagine their supply chain processes and showing tens of millions of dollars in ROI by deploying tactical teams of experts.

Here are a few case studies that illustrate what we did and how it made a difference.

Customer Managed Server & Data Center Configure to Order

Challenge

Using discrete SKUs not scalable for configurable business. New VC data needed to integrate with SKUbased legacy systems.

Solution Brief

Leverage standard SAP Variant Config paired with a custom configuration Portal for customers to create and mange their quotes/orders.

Enhanced Customer Order / Rescheduling for Apparel & Footwear Companies

Challenge

Manually allocating constrained supply to orders after they had been confirmed to customers was not manageable in a growth environment

Solution Brief

Developed custom Production Allocation and enhanced Order Rescheduling on top of the SAP IS-AFS platform

Alternate Sourcing & Product Capabilities for Plant Maintenance Order Scheduling

Challenge

Multiple Sources with common supply across distribution centers cannot leverage the available units in different plants than the one where the service order is planned for.

Solution Brief

Leverage underlying standard SAP functionality for Rules Based ATP by enabling it for SAP Plant Maintenance Service Orders.

Pharmaceuticals ATP Accelerators & Allocation Management

Challenge

Implementing gATP brought with it great promise but the actual usage of the advanced capabilities created usage issues and technical conflicts with downstream systems.

Solution Brief

The full capabilities of gATP were realized with the user of the Accelerators and have been managing millions of transactions without any support issues.

Semiconductor Finish to Order Processes & Tools

Challenge

The number of finishing options on an individual SKU caused low forecast accuracy and significant batch rework when trying to match with customer orders at the time of delivery

Solution Brief

Leverage SAP HANA’s speed to mine all of the necessary data in real time for each MFG operations request

Machine Learning in Trade Promotional Management

Challenge

Trade promotional management (TPM) process not producing the expected ROI

Solution Brief

Developed a custom Bayesian Machine Learning model that predicted demand based on key business factors such as price, promotion, seasonality, payday week, competitive factors, etc

  • 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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