Category: Amazon QuickSight

Guidance for RFID Store Inventory Management on AWS The need for RFID (Radio Frequency Identification) is growing. Retailers face many challenges in managing their inventory, including out-of-stock situations, misplaced items, and shrinkage. These challenges can impact the bottom line and hurt the customer experience. To address these issues, retailers are increasingly turning to RFID technologies. […]

The retail industry has changed dramatically over the last couple of decades. From small shops to large retail chains of stores. The rise of ecommerce, use of digital promotions and targeted marketing are just some examples where technology has contributed to the immense growth of the market. From personalized customer experiences to sustainability the field […]

Like global landfills, the fashion industry waste problem is growing by the second. Retailers are struggling to address an enormous (and pressing) concern: what happens to their products after point-of-sale and what are the environmental implications? In the United States, companies spend an estimated $50 billion on product returns. These returned goods are responsible for […]

Energy companies are still using architectures based on monolithic systems when managing and billing energy service contracts. Architectures where the billing processes have been built using stored procedures inside a database are common. These architectures limit the capabilities of the business units to create, manage, and invoice contracts based on new products and services, especially […]

This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]

Financial Services Institutions (FSIs) are looking for opportunities to exploit interoperability across a collaborative ecosystem to boost transactions through their channels, partners’ channels, and payment methods. From this post: “Forrester asserts that aggregators and intermediaries that create value across industries will become important agents in a diverse collaborative ecosystem. However, not all organizations have the […]

Introduction The purpose of this blog is to demonstrate one method of how effortlessly you can automate the data extraction, transformation, and building of an accurate power-demand forecasting pipeline using Amazon Web Services (AWS) services, such as Amazon Forecast, a time-series forecasting service based on machine learning (ML). This blog describes how Power Trading Corporation […]

Introduction We often take for granted how easy it is to fly across the country or world on any given day. Yet, airlines face challenges, like unplanned weather events, wild fires, geopolitical events, logistical problems, and other external factors that impact their regular operations, more often than you’d expect. Such events lead to irregular operations, […]

To personalize the customer experience, BMW Group uses data to power artificial intelligence (AI) and machine learning (ML) solutions from Amazon Web Services (AWS). All workflows must comply with stringent data privacy laws that vary among the 140 countries where BMW operates. BMW Group’s solution After obtaining permission from vehicle owners, BMW Group ingests data […]

Retailers use demand forecasting to anticipate customer needs and optimize supply decisions. Like most industries, demand forecasting in retail industry uses large amounts of historical data to predict future consumer demand. These forecasts depend upon analyses of variables that impact demand, such as seasonality, promotions, inventory levels, and market trends. Prediction accuracy is influenced by […]