AI Tools for Business: Consumer Goods Companies Streamline Operations with AWS Marketplace Solutions

A growing number of consumer goods companies are leveraging the power of Amazon Web Services (AWS) to drive innovation, increase agility, and boost operational efficiency. By tapping into industry-specific solutions in AWS Marketplace, these organizations can build stronger brands, make data-driven decisions, and stay ahead of market trends.

The key to success lies in harnessing the same cloud capabilities that have enabled Amazon.com to create a seamless shopping experience for its customers over 25 years. This integrated view of the consumer allows companies to personalize interactions, ensure product availability, and unify the shopping experience – all critical factors in building brands consumers love.

Organizational agility is another major benefit of using AWS Marketplace solutions. By leveraging unmatched compute capabilities, machine learning (ML), and artificial intelligence (AI) tools for business, consumer goods companies can draw key insights from vast amounts of data to predict opportunities and risks in real-time. This enables them to act swiftly and make informed decisions.

Today, more than 100,000 customers use AWS services across the value chain to accelerate decision-making. By connecting disparate data sources and taking advantage of automation, AI, and ML capabilities, companies can streamline their operations, reduce costs, and innovate key enterprise applications without putting critical systems at risk.

Some notable examples of consumer goods companies that have successfully implemented AWS Marketplace solutions include Danone Indonesia, Stanley Black & Decker, Georgia-Pacific, and ONNIT. These organizations have reported significant improvements in efficiency, productivity, and innovation – all essential for staying competitive in today’s fast-paced market.

According to Epsilon Analisa Akbar, Digital Analytics Manager at Danone Indonesia, ‘Treasure Data makes it possible to collect several data sources into a single database and normalize that data across different variables.’ This has enabled the company to enrich customer profiles and make more informed decisions. Similarly, Stanley Black & Decker’s Business Innovation Director, Orlando Gadea Ros, notes that ‘we need to constantly look for ways to disrupt ourselves’ – a sentiment echoed by other companies in the industry.

Steven Bakalar, Vice President of IT Digital Transformation at Georgia-Pacific, highlights the flexibility and scalability provided by combining SAS with AWS: ‘this gives us the necessary flexibility and scalability to put analytic capabilities in the hands of users across the organization.’ Meanwhile, ONNIT’s Marketing Project Manager, Vanessa Escobedo Barba, praises the efficiency gains from using Tenovos DAM: ‘our team’s efficiency has skyrocketed because they can now find and process content instantly’.