Retail Resources

How can retailers mobilize their technological resources to capture emerging growth opportunities while competing in a rapidly changing market landscape. In this e-book, you will learn about a powerful new IT paradigm for retail—a Cloud Services Technology Framework.

Establishing the right ecommerce architecture is critical to ensure digital sales channels can support overall business strategy.  This paper lays out the decision process for ecommerce modernization, including tradeoffs and lessons learned.

The future is here, and retailers need to think and act in new ways. AWS and AWS Retail Competency Partners deliver innovative, industry-leading cloud services and solutions to meet today’s consumer expectations, optimize operations, and improve business insights. Best Buy, Petco, Neiman Marcus, Sainsbury’s, Instacart, and Zalando are among the global retailers who are using AWS retail solutions, software, and tools to accelerate innovation and digital transformation.

To thrive in the modern marketplace, retailers need to create an exceptional customer experience—both online and in the store. While ecommerce soared in popularity during the pandemic, physical stores still matter, representing roughly 80 percent of all retail sales. This is because stores remain an experiential destination for shoppers to discover, research, see, touch, and buy products.

There are several current/new, but not necessarily emerging, technologies that have the potential to greatly impact the entire industry. For each, we are in the early days—yet can already see the potential for retailer adoption. We’ll look at four current technologies, which seem to have decent momentum, and try to understand their potential uses and pitfall in the context of the retail industry.

A MACH architecture, which stands for Microservices based, APIfirst, Cloud-native SaaS and Headless (MACH), gives companies a deeper level of agility—allowing them to deliver new features to their customers at speed. This architecture has spread from ecommerce to store systems and is now fundamentally changing the way retailers assemble commerce solutions.

Personalizing content for online consumers is key to breaking through the noise. Yet brands face challenges that prevent them from providing these seamless, relevant experiences. The result is fractured communications and limited visibility into customer needs. Machine learning enables you to provide customers with relevant recommendations and ultimately improve brand loyalty.

Automated supply chains can deliver enhanced visibility, more accurate demand planning, and improved resilience. Read this ebook to learn how you can turn your supply chain into an intelligent business decision-maker using innovative new technologies like machine learning, blockchain, and other cloud services.