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Retail & Consumer Goods

  • Overview

Manufacturing & product development solutions on AWS

Accelerate time to market and reduce the cost of goods sold using the most comprehensive set of IoT, AI, and ML solutions.

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Benefits

Solve complex problems and accelerate time to market using high performance computing (HBC) to create model-based design and large-scale, parallel simulations.
Collect Internet of Things (IoT) sensor data and customer feedback and analyze it with artificial intelligence to identify product features your consumers want.
Optimize production planning, execution, and quality using digital twins, vision-based anomaly detection, or quality management solutions on AWS.
Improve machinery uptime by unifying machine data into a data lake and leveraging machine learning (ML) and AI capabilities to detect production problems before they occur.

Consumer goods use cases

Create production-ready environments for simulation and analysis workloads that run in parallel.
Embed connected sensors and intelligence into your physical products, enabling the collection and analysis of rich, granular data on product performance, environmental conditions, and consumer behavior.
Capture, analyze, and visualize the disparate plant data needed to detect production problems before they occur.
Set up a quality management system (QMS) to document policies, processes, and procedures for achieving quality-related policies and objectives, align with regulatory and compliance standards, and improve process efficiency.

Key consumer goods partners

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Customer stories

adidas explores the evolution of product creation, commerce strategies, data analytics

adidas uses stable diffusion models to generate shoe images that can inspire designers and accelerate development.

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Nestlé efficiently scales to 2.8 Million connected devices with AWS IoT

Nestlé connected 2.8M devices connected across 97 countries to a centralized IoT Platform to accelerate innovation and focus resources on building differentiated products.

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Getting the most of temperature data with the Braun Family Care™ app built using AWS IoT Core

Helen of Troy created a connected experience for the Braun ThermoScan® 7 Connect thermometer that uses AWS IoT core to determine which product features are used and should be developed further.

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Georgia-Pacific reduces unplanned downtime by 30% while improving quality and safety

Georgia-Pacific optimized manufacturing productivity, reducing downtime by 30%, by integrating data and building predictive models using a SAS Viya AI and analytics platform running on AWS.

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