Retail & Consumer Goods
Overview

Data & Intelligence Solutions on AWS

Migrate data and applications to the cloud to improve insights and innovate faster with purpose-built analytics services and solutions on AWS.
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Overview

Driving Retail and Consumer Goods Innovation with generative AI

Through AWS and AWS Partners, retail and consumer goods companies gain access to enterprise grade security and privacy, cutting edge foundation models, and applications powered by generative artificial intelligence (AI).

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Benefits

Use Data Lake solutions on AWS to deploy data and analytics capabilities to deliver measurable business value that aligns with strategic goals.
Use generative AI and Business Intelligence and Analytics solutions on AWS to quickly and easily build BI dashboards, visualizations, and complex calculations.
Optimize and streamline pricing, assortment, and trade promotion decisions using artificial intelligence, analytics, and automation.
Track carbon emissions across your operations, portfolios, and value chains to inform your climate strategies.

Retail use cases

Data lake

Collect, analyze, and distribute important data throughout the retail enterprise, setting the foundation for machine learning and artificial intelligence.

Carbon accounting

Track emissions across your operations, portfolios, and value chains.

Business intelligence & analytics

Build a next-generation intelligence and insight engine using machine learning to help differentiate your brand, influence customer actions, and increase revenue.

Conversational analytics

Transcribe, analyze, and act upon key data points, capturing important customer satisfaction data, product feedback, and complaint trends.

Retail services and solutions

Amazon Q

Get answers to questions across business data with the most capable generative AI–powered assistant.

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Clickstream analytics on AWS

Use this guideance to automatically provision a configurable data pipeline to collect, ingest, analyze, and visualize clickstream data inside your web and mobile applications.

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Guidance for Real-Time Text Search Using Amazon OpenSearch Service

Integrate Amazon DynamoDB with Amazon OpenSearch Service to enable real-time search.

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Text analysis with Amazon OpenSearch Service and Amazon Comprehend

Deploy this cost-effective guidance to extract meaningful insights from unstructured data, such as customer calls, support tickets, and online customer feedback.

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Key retail partners

View all solutions for Retail & Consumer Goods in the AWS Solutions Library

  • Algolia

    Algolia provides customers with a combination of market-leading keyword search and natural language processing via vector search.

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  • Constructor.io

    Constructor is an AI product discovery platform designed explicitly for ecommerce retailers. 

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  • Databricks

    This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It's built on open source and open standards to maximize flexibility.

    Learn more

Customer stories

  • Tapestry

    Tapestry gains 360-Degree view of customers by powering data and analytics on AWS

    Fashion house Tapestry has broken down data silos and expanded its ML capabilities by using Amazon API Gateway, helping it fulfill half a million API calls daily and personalized customer service.

    Read the case study

  • Wesfarmers

    Wesfarmers journey to the cloud with AWS

    Wesfarmers, a major retailer in Australia and New Zealand, was able to leverage technologies to increase their digital footprint, access and process large amounts of data, and ultimately achieve their online sales and sustainability goals.

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  • Coca-Cola Andina

    Coca-Cola Andina boosts efficiency and customer satisfaction with analytics on AWS

    Coca-Cola Andina migrated to a data lake on AWS and built a custom internal application called Thanos to manage the inventory, distribution, and delivery of its products, enhancing visibility into its operations across facilities and countries.

    Read the case study

  • AJE Group

    AJE Group optimizes the performance and costs of analytics workloads

    AJE, a Peruvian multinational consumer goods company, built a corporate data analytics platform using AWS, resulting in a 35 percent reduction in extract, transform, load (ETL) times and 15 percent savings in infrastructure costs.

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Consumer goods use cases

Collect, analyze, and distribute important data throughout the retail enterprise, setting the foundation for machine learning and artificial intelligence.

Adopt a data product approach for deploying data and analytics capabilities to deliver measurable business value that aligns with strategic goals.

Pair data and analytics with workflow automation to streamline accounts receivable, reducing metrics such as bad debt and days sales outstanding.

Track emissions across your operations, portfolios, and value chains.

Consumer goods services and solutions

Amazon Bedrock

Easily build and scale generative AI applications with a choice of high-performing foundation models (FMs) from leading AI companies through a single API. 

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Amazon Redshift

Securely share data among accounts, organizations, and partners while building applications on top of third-party data.

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Guidance for CPG data products on AWS

Use a data mesh to break down data silos and scale your data analytics capabilities.

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Guidance for carbon accounting on AWS

Calculate your carbon footprint, track Greenhouse gas (GHG) emitting activities, and identify carbon hotspots.

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Key consumer goods partners

  • Databricks

    This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It's built on open source and open standards to maximize flexibility.

    Learn more

  • SAP

    SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition.

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  • Sigmoid

    Sigmoid enables business transformation using data and analytics, leveraging real-time decisions through insights, by building modern data architectures using cloud and open source.

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