MicrosoftExpandedProductionEvidence: Low40/100

Coca-Cola Optimizes Bottling Line Efficiency with AI-powered Spare Parts Recognition

Coca-Cola HBC, a leading European and African beverage bottler, partnered with Crayon to address production line inefficiency due to slow identification and sourcing of spare parts. They implemented an innovative AI-driven image recognition app developed with Microsoft technology and Crayon's expertise. This app enables faster, accurate identification of crucial spare parts across multiple sites, ensuring smoother bottling operations. The project has been rolled out in phases across European and African locations, enabling streamlined operations and delivering measurable productivity improvements. The solution demonstrates tangible business value and achieved significant ROI in less than two years. The image recognition app was developed and deployed specifically for production line environments. This collaboration has dramatically sped up maintenance processes by quickly matching images of parts to internal sourcing databases or catalogs. Real-time part identification is expected to minimize production downtime and reduce manual errors.

Organization
Coca-Cola
Location
Global
Published
November 2024
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Coca-Cola
Provider
Microsoft
Maturity
Production
Linked source
linkedin.com

The project has been rolled out in phases across European and African locations, enabling streamlined operations and delivering measurable productivity improvements

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Spare Parts Identification for Production Lines via AI Image Recognition
  • 2Maintenance Workflow Automation for Bottling Plants
  • AI-powered image recognition app for spare parts identification, built on Microsoft technology and deployed by Crayon.
  • Automated image-matching workflows reduce human error and speed up spare parts procurement.
  • Phased rollout ensures smooth adoption across diverse bottling facilities.
Technologies
  • Significant productivity improvements and reduction in downtime.
  • Achieved impressive ROI in under two years.
Implementation partners1
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2025.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Published: Nov 27, 2024Publisher: linkedin.com

AI-generated summary. Verify important details with the linked sources before relying on this case.

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