AWS for Industries

Tag: Amazon Forecast

How does Cloud enable the transformation of Bank finance functions?

Bank CFOs are transforming their finance functions from both an operations and technology perspective, innovating to simplify their organisational model, increase efficiency and deepen the insight they provide to stakeholders. Cloud technology is enabling these changes by providing a new set of tools to solve some of the enduring business challenges that they face. In […]

Generative AI The Catalyst for Revolutionizing Physical Retail feature card

Generative AI: The Catalyst for Revolutionizing Physical Retail

In an era dominated by ecommerce and digital shopping trends, the traditional brick-and-mortar retail store stands at a crossroads. The rise of online shopping has redefined consumer expectations, prompting retailers to seek innovative strategies to revitalize in-store experiences. Amid this landscape, generative artificial intelligence (AI) emerges as a groundbreaking technology with the potential to reinvigorate […]

Reinventing the in-store experience with Smart Store solutions

Reinventing the in-store experience with Smart Store solutions

How to reinvent the in-store experience, improve operational efficiency, and accelerate innovation with Smart Store solutions on AWS. Although ecommerce sales soared during the COVID-19 pandemic, physical stores aren’t going away anytime soon—in fact, physical stores matter even more today. That’s because stores remain a popular destination for shoppers to discover, research, see, touch, and […]

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 […]

Wind Turbines

How Greenko does near-real-time monitoring and analytics of 2,200 wind turbines on AWS

Greenko Group (Greenko) is a leading energy solution provider in India with a total installed capacity of 7.5 GW, which includes wind (over 2,000 wind turbines), solar (over 5 million solar panels) and hydro (25 sites). Greenko has electrified more than 6.3 million households and has helped avoid the equivalent of over 17 million tons […]

Powering solutions for retailers at NRF 2023: Amazon Forecast and AWS Supply Chain

We’ve talked about the exciting immersive commerce and in-store optimization ideas coming out of NRF 2023, but what about the stuff behind the “retail curtain”? At this year’s big show, Doug Tiffan, head of worldwide solution strategy Apparel & Fashion, led an informative discussion talking about how and why AWS services and applications like: Amazon […]

How to improve your forecasts and deliver better results in 2023

Travel and hospitality companies need to remain efficient, profitable, and customer obsessed as they deal with today’s uncertain and dynamic market challenges, from supply chain challenges to capacity constraints to economic uncertainty. One way travel and hospitality companies can increase profitability is through improved forecasting, but many are still looking for tools to optimize forecasts […]

amazon fulfillment center sorting

CPG Companies: Improve Demand Forecasting to Boost Sales on Amazon

For consumer packaged goods (CPG) companies that sell finished goods on Amazon, improving demand forecasting can be a large step towards maximizing revenue. CPG companies must accurately forecast and anticipate variable product demand to provide sufficient time to manufacture and deliver products to Amazon’s fulfillment centers. Many CPG companies already use Amazon Vendor Central, yet […]

Forecasting energy usage using Amazon machine learning and data lakes

Executives within utilities and energy providers of all types and sizes have multiple ongoing needs to forecast energy usage. For example, as chief customer officer, your teams can use energy forecasts at the household level to proactively engage homeowners with high bill alerts and predict pre-pay or month-end energy charges. As the head of energy […]