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Reimagining the Supply Chain

Manufacturing
case study

Business Impacts

Accurate Demand Forecasting With Advanced Analytics

Reimagined Supply Chain Precision

Customer Key Facts

  • Location : North America
  • Industry : Manufacturing
  • Size : ~6000
  • Core Product : Semiconductor Materials and Specialty Chemicals

Challenges

  • The current demand forecasting process would not consider external variables in difficult times
  • Unavailability of a centralized platform/access point of data for advanced analytics and applied ML
  • Cloud-based data lake needed data pipelines from the SAP ecosystem

Technologies Used

Google BigQuery

Google BigQuery

Google Cloud Storage

Google Cloud Storage

Microsoft Power BI

Microsoft Power BI

SAP ECC, IBP, BW, Data Services

SAP ECC, IBP, BW, Data Services

Google Vertex AI

Google Vertex AI

Solution

Quantiphi created a business conforming Data foundation in BigQuery; integrated with various SAP sources crafting a range of advanced analytics use cases. We developed data pipelines to seamlessly move their existing High-value SAP Data to Google Cloud.

Results

Realizing the swift business impact, the client entered into a strategic partnership with Quantiphi to execute 50+ impactful business use cases, leveraging our expertise in SAP, AIML, and Google Cloud.

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