AWS for Industries

Category: Amazon QuickSight

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Capture clickstream data using AWS serverless services

Clickstream data refers to the collection of digital interactions that occur between a user and a website or mobile application. Capturing and creating usable insights from user data in real-time can be challenging. Amazon Web Services (AWS) serverless services can help by providing a scalable architecture to seamlessly capture, process, visualize and load clickstream data […]

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Driving Business Outcomes with Clickstream Data

In today’s competitive world, customer obsession isn’t an option, it’s an imperative. Mastering customer obsession starts with data—demographics, psychographics, transactions, purchase records, support cases, product usage, shopping habits, content preferences, and more. According to Gartner report, less than 10% of companies have a 360-view of the consumer. Not because they don’t try, but because it […]

Applying carbon value modeling to achieve net-zero

Climate change is one of the most pressing issues of our time, and it’s becoming increasingly clear that we need to take rapid action to reduce our carbon emissions. To be carbon-neutral by 2050 and keep the Earth’s mean temperature below 2° C of preindustrial levels, the world must curb emissions by 7.6 percent per […]

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Enhancing Retail Store Inventory Management through RFID Technology & AWS

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. […]

Track customer traffic in aisles and cash counters using Computer Vision-feature card

Track customer traffic in aisles and cash counters using Computer Vision

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 […]

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How AWS is helping thredUP revolutionize the resale model for brands

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 […]

How to manage and bill structured energy contracts on AWS

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 […]

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How Machine Learning on AWS can help customers predict the risk of Automotive Part Recalls

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 […]

Geo-based real time marketing for Financial Services on AWS

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 […]

Power Trading Corporation of India uses Amazon Forecast for day-ahead and intraday electricity demand forecasting

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 […]