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Supply Planning Order Solution for AB InBev-Supply chain and logistics

Introduction

Anheuser-Busch InBev (AB InBev) makes some of the world’s oldest and most popular beer brands — including Budweiser, Corona, and Stella Artois. The combined ABInBev/SAB Miller entity has approximately 360+ beer brands.

But the global corporation is all about embracing the future and innovating to stay competitive. That’s how AB InBev came to partner with Pluto7, a technology solutions provider that uses Google Cloud Platform (GCP) services to improve operations at manufacturers and other companies.

Why Pluto7 ?

Pluto7, an Supply Chain Solutions Builder, leverages the power of AI/ML  providing streamlined Supply Chain management while improving customer experience to make your supply chains agile, adaptive and intelligent. We are experts in Smart Analytics, Machine Learning, and AI on Google Cloud. Our services and solutions deliver innovation and intelligence to build a data-driven future. 

Objectives

  • The solution should simplify the overall planning order process and should be time saving compared to the current process.
  • Building Data Foundation to centralize the identified data elements
  • Designing Production Execution Twin and Shipment Execution Twin

Pluto7 Solution Approach:

  • Phase 1: Initial assessment and study for finalizing use cases.
  • Phase 2
    • Building Data Foundation and load the source data in BigQuery
    • Data Science Platform Enablement with ML
  • Phase 3: Developing MVPs for Digital Twins(Production Execution Twin and Shipment Execution Twin)
  • Phase 4:Pilot and Production rollout Roadmap

For more information
www.pluto7.com/success-stories

Enable Decision Intelligence Into Every Corner Of Your Product And Operations.

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Industry Manufacturing| Retail

Organization Name: AB InBev

Challenges

  • AB InBev has a Supply Order Planning platform which performs Supply Order, Supply Planning, Production Planning and Logistics Planning. It takes ~17 hours to complete which is time consuming.
  • The customer’s current complicated process had many unpredictable variables, such as the fluid’s turbidity.
  • A solution which is an enhancement to the current process is to be built, without disturbing the current process.

Results

  • Built a parallel process so that the existing Planning process is not disturbed.
  • Built ML model prototype to enable platform on AI/ML
  • Presenting the twin solution to the AB InBev team for selected MVPs.
  • Roadmap created to rollout the selected twin use cases for production releases
  • Demonstrated a solution through MVPs for achieving more consistency with higher quality and reduced time consumption

Products Used

  • Google Cloud Storage
  • Google Compute Engine
  • BigQuery
  • Cloud IAM Security
  • Cloud SQL
  • App Engine
  • Cloud Machine Learning Engine
  • Cloud Data fusion
  • Cloud Function
  • SAP APO
  • Vertex AI Platform Notebook
  • Looker
  • Cloud Composer Orchestration