What challenges did Jabil face before AI implementation?

Jabil faced fragmented data across global manufacturing sites and sought to improve operational efficiency and decision-making using AI and data analytics. Needed scalable cloud infrastructure and support for generative AI adoption across manufacturing and business teams. Required workforce upskilling to enable efficient use of new AI technologies.

What was the impact of the AI solution?

Deployment times decreased by 67-83%, data processing times by 74%, and operational costs by 23%. The intelligent shop floor assistant improved troubleshooting speed and diagnostic accuracy across multiple languages. Scalable generative AI solutions are adopted globally across manufacturing and business teams. Enhanced inventory management and decision-making with AI and machine learning tools. Jabil continues collaboration with AWS experts for ongoing business application migration and AI initiatives.

Source

ProductionEvidence: Medium65/100

Jabil Drives Manufacturing Efficiency and Process Optimization with AWS Generative AI

Use case typeAI platformUpdated Jun 13, 2026

Jabil is a global manufacturing and supply chain solutions provider with over 100 sites worldwide. Jabil addressed data fragmentation and improved operational efficiency using AWS cloud and generative AI solutions. Migrated 400+ applications to AWS and centralized data in a data lake for analytics and AI. Developed generative AI applications including an intelligent shop floor assistant chatbot powered by Amazon Q Business for real-time diagnostics in multiple languages. Built intelligent customer research and procurement assistants for enhanced decision-making. Results include 67-83% reduction in deployment times, 74% reduction in data processing times, 23% cost savings with serverless integration, and improved troubleshooting accuracy.

Organization: Jabil
Industry: Manufacturing
Location: United States
Published: April 2026

Reported outcomes

67-83%

timeTime & speed

Strategic outcomes

Better decisions & insightEnhanced inventory and decision-makingNew product / capabilityBuilt generative AI assistantsSpeed & agilityAccelerated deployment and processingCustomer experience & trustImproved troubleshooting speed and accuracy

Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 67-83% decrease

AWS Customer StoriesApr 29, 2026Customer storyInferred claimMedium evidence strength

Deployment times decreased by 67-83%, data processing times by 74%, and operational costs by 23%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Jabil
Provider: AWS
Maturity: Production
Linked source: AWS Customer Stories

Jabil addressed data fragmentation and improved operational efficiency using AWS cloud and generative AI solutions

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Generative AI for shop floor assistance
2AI chatbots for customer research and procurement
3Cloud migration and data lake centralization

Jabil faced fragmented data across global manufacturing sites and sought to improve operational efficiency and decision-making using AI and data analytics.
Needed scalable cloud infrastructure and support for generative AI adoption across manufacturing and business teams.
Required workforce upskilling to enable efficient use of new AI technologies.

Collaborated with AWS Professional Services and AWS Training and Certification on a multi-year data-driven transformation roadmap.
Migrated business applications to AWS cloud using a hybrid approach suited to workload needs.
Deployed a centralized data lake on AWS for unified data analytics.
Leveraged Amazon Q Business and Generative AI Innovation Center expertise to build generative AI assistants: shop floor assistant, customer research, and procurement assistants.
Utilized AWS Glue Flex and AWS Cloud Development Kit for optimized serverless data integration and deployment automation.

Technologies

Amazon Q Business AWS Glue Flex Amazon Elastic Kubernetes Service (EKS)AWS Cloud Development Kit (CDK)

Deployment times decreased by 67-83%, data processing times by 74%, and operational costs by 23%.
The intelligent shop floor assistant improved troubleshooting speed and diagnostic accuracy across multiple languages.
Scalable generative AI solutions are adopted globally across manufacturing and business teams.
Enhanced inventory management and decision-making with AI and machine learning tools.
Jabil continues collaboration with AWS experts for ongoing business application migration and AI initiatives.

Architecture

Migration of 400+ applications to AWS with a centralized data lake. Generative AI built using Amazon Q Business with multilingual chatbot capabilities. Utilizes AWS Glue Flex for serverless data integration and AWS CDK for deployment automation. Collaborative partnership with AWS Professional Services and Training supports cloud and AI adoption.

Sources & evidence1

Evidence: Medium65/100Evidence strength