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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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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.

Customer stories

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.

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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 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.

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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.

Read the case study
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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.

Retail partners

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Key partners

Consumer goods partners

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