The next revolution in manufacturing is here. Learn how AWS can help CPG companies transform production operations to reduce the cost of goods sold and improve yield.
How Large CPG Companies Can Act with the Agility of a Start-Up
How CPG companies can use artificial intelligence and machine learning to react faster than the competition
Benefits
Create the smart factory
With AWS, CPG companies can break down data silos and create a digital twin manufacturing environment to capture production data in real time and use predictive analytics to optimize production planning, execution, and quality—all while driving down costs.
Featured solutions
GE Digital Proficy Smart Factory MES
Proficy Smart Factory (MES) is a suite of on-premise and cloud solutions. Transform your manufacturing business through insights and intelligence powered by data integration, the Industrial Internet of Things (IIoT), machine learning, and predictive analytics. By bringing together the digital world with the physical world of manufacturing, Proficy Smart Factory can deliver holistic performance management for today’s connected enterprise.
DXC SPARK IoT for CPG - Operational Insights
CPG companies need to extract additional productivity, increase asset utilization, and improve quality, all while lowering costs. Companies are utilizing ML and AI capabilities to decrease unplanned disruption by 48%, improve average OEE by 16%, and increase manufacturing yield by capturing disparate plant data to predict production problems before they occur to optimize manufacturing processes.
Tulip Manufacturing App Platform
Manufacturing Engineers can turn analog manufacturing workflows into instrumented, data collecting, digital processes that increase productivity, quality and reduce costs, without having to know how to code or do any complex system integration.
Solutions by use case
Energy Optimization & Sustainability
Near real-time monitoring and analytics using AI and ML to quickly identify opportunities and track the impact of these initiatives on company sustainability efforts.
Industrial Data Fabric
Pull disparate data sources into a central repository, apply analytics such as anomaly detection algorithms, and create API endpoints that can interact with controllers, alarms, and other shop floor IT systems.
Production & Asset Optimization
Capture, analyze, and visualize the disparate plant data needed to detect production problems before they occur.
AWS services
Customer stories
We work with the industry’s leading consumer packaged goods (CPG) companies—innovators and pioneers—who expect more from their technology partners and know that great experiences speak louder than words. Learn more about the exciting ways CPG companies are leading their customer journeys with AWS.
Georgia-Pacific proactively prevents production issues with predictive analytics
One of the world’s largest manufacturers of bath and tissue paper products eliminated 40% of parent-roll tears during the production converting process.
Ferrara Candy improves business decisions with SAP BusinessObjects on HANA
After a merger, Ferrara Candy deployed a HANA analytics environment on AWS and can now generate reports in minutes instead of weeks.
Mahou San Miguel transformed operations with AWS Cloud
Spain's largest brewery started working with AWS in 2015 on a data project. Since then, Mahou San Miguel has worked with AWS on several more projects to streamline IT infrastructure and reduce costs.
Sumitomo Chemical migrated ERP to the cloud with SAP S/4HANA
As one of the world’s largest chemical manufacturers, Sumitomo Chemical migrated its on-premises SAP ERP instances to an AWS Cloud infrastructure and realized a 40% improvement in batch processing times.
Tine optimized dairy production with ML
Tine, Norway’s largest dairy cooperative, is using ML-based predictive analytics with more than 250 million data points per cow to improve milk production, animal treatment, and carbon emissions.
Innovate with key CPG industry partners
Leveraging innovations in big data, machine learning, and web technologies, Seeq delivers easy to use features for your users and supports all phases of analytics from cleansing to reporting.
As products and factories become smarter and more complex, Siemens’ Digital Enterprise Suite provides the technical foundation for digital transformation.
Schuberg Philis’ Industry 4.0 solutions enable smart factory for consumer packaged goods companies with automation, interconnectedness, and data-driven decision-making from the factory production line to the shop floor.
Crowley Carbon is an engineering services company underpinned by a powerful software platform – Clarity – that specializes in helping manufacturers achieve net zero carbon.
Tulip allows manufacturers to digitally transform their shop floor through its self-service Manufacturing App Platform.
Decisyon accelerates digital transformation for CPG companies globally through increasing supply chain reliability, streamlining data collection, and delivering visibility into supplier performance.
AWS Service partners
Our network of AWS CPG Service Partners offers strategy and deployment services to CPG brands to help accelerate their digital transformation and innovation journey across all areas of the enterprise.
AWS and Deloitte empower CPG companies to transform their business, innovate faster, and grow ahead of the curve by combining cloud technologies with deep experience.
With over 10,000 AWS accredited professionals, DXC understands the complexities of migrating workloads to AWS in large-scale environments, and has the skills needed for success.
Wipro harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help clients adapt to the digital world with success.
Reply supports customers in building Industrial IoT solutions and provides digital platform to process real time data coming from factories.
AWS Marketplace
Seeq, an advanced analytics solution for process manufacturing data, enables organizations to rapidly investigate and share insights from data.
Crowley Carbon’s Clarity is an industrial energy efficiency and process optimization software that enables companies to achieve peak plant or building performance.
Tulip's flexible, intuitive manufacturing app platform helps companies create applications that guide operators and collect data from people, machines, and processes.
The LEA Reply™ is a suite of business microservices for inventory, warehousing, distribution, delivery, point-of-sales activities, and end-to-end visibility.
Resources
See related technical guides, solution briefs, blogs, and much more.
Coca-Cola Bottler Digitizes Manufacturing Processes with AWS
Learn how CCI identified machine failures and improved production line performance by deploying a digital twin solution.
AWS Manufacturing and Industrial IoT Web Week: A Path for Industry 4.0 to Scale
This IDC report provides an in-depth analysis of the event that showcased how the AWS strategy has "droves of Operational Technology (OT) providers, device and compute manufacturers, software solution providers, niche platforms, and service providers and integrators flock[ing] to the AWS ecosystem."
Industrial IoT – From Condition Based Monitoring to Predictive Quality to digitize your factory with AWS IoT Services
Explore how industrial companies can use Predictive Quality to determine actions, such as adjusting machine settings, using different sources of raw materials, or conducting additional worker training, that will improve the quality of the factory output.
Digitally transform your factory with Machine Downtime Monitor on AWS
Learn how Machine Downtime Monitor (MDM) on AWS can monitor production machine telemetry data to provide a near-real-time view of manufacturing lines and predict factory floor breakdowns.
Improving Overall Equipment Effectiveness
To drive process efficiencies and optimize costs, manufacturing organizations need a scalable approach to access disparate data silos across their organization. Learn how to track Overall Equipment Effectiveness (OEE) with AWS IoT Analytics and Amazon QuickSight.
