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The Asia-Pacific is the biggest region globally in terms of E-Commerce sales and cross-border online shopping is advancing further. This report cites estimations that between 2014 and 2020, Asia-Pacific will have the leading contribution to cross-border B2C E-Commerce sales globally, more than Western Europe or North America. China has made its way to the top of this trend due to the rapid escalation of cross-border online imports and exports. However, this country is outranked by Australia and Singapore in terms of share of E-Commerce consumers purchasing cross-border. A recent survey also places South Korea in the running, with almost half of online shoppers making cross-border purchases. In contrast, Japan ranks as the country with consumers who are least likely to buy cross-border. Japan exports more E-Commerce products to countries such as China and the USA than it imports. Cross-border online consumers from South Korea and Australia have the highest demand for clothing. In contrast, E-Commerce consumers in China prefer cosmetics and children's products. Research also shows that almost two-thirds of Chinese cross-border online consumers utilize import channels of major Chinese E-commerce websites such as Alibaba's Tmall Global and's JD Worldwide. Key Questions Answered - How large is cross-border B2C E-Commerce in Asia-Pacific predicted to become in 2020? - What are the top countries in Asia-Pacific by cross-border online shopper penetration? - From which countries do online shoppers in Australia, China, Japan, India, New Zealand and South Korea buy the most? - What is the size of cross-border E-Commerce sales to and from China? - Which product categories have the highest demand among cross-border online shoppers in AsiaPacific? Key Topics Covered: 1. Management Summary 2. Global Developments 3. Asia-Pacific Companies Mentioned - Alibaba Group - Amazon Inc. - eBay Inc. - Etsy Inc. - Wish Inc. For more information about this report visit To view the original version on PR Newswire, visit:

OMAHA, Neb.--(BUSINESS WIRE)--The April 2017 Investor Movement Index® reading fell for the first time in three months, dropping to 6.06, TD Ameritrade, Inc. (“TD Ameritrade”), a broker-dealer subsidiary of TD Ameritrade Holding Corporation (Nasdaq: AMTD) announced today. The Investor Movement Index, or the IMXSM, is a proprietary, behavior-based index created by TD Ameritrade that aggregates Main Street investor positions and activity to measure what investors are actually doing and how they are positioned in the markets. The April 2017 Investor Movement Index for the four weeks ending April 28, 2017, reveals: TD Ameritrade client exposure to equity markets decreased as there was lower relative volatility in widely held names, including Apple Inc. (AAPL) and Facebook Inc. (FB). Volatility was modest during the month, with a slight uptick in the volatility of the S&P 500 Index early in the period. Markets posted losses early in the month following poor economic data, yet rebounded at month-end following strong earnings reports. Despite the negative downtrend in April, TD Ameritrade clients were net buyers overall in April with increased interest in the tech sector and dividend stocks. “Although this is the first decline in recent months, market optimism appeared to remain strong as our clients were net buyers for the fifth month in row. We saw a similar trend a year ago, where retail clients lowered their equity exposure and the IMX broke a seven month high streak,” said Victor Jones, director of trading for TD Ameritrade. “A third of the S&P 500 will report earnings in May, so we will see how much our clients stay engaged in the markets.” TD Ameritrade clients were net buyers of dividend stocks in the April period, including AT&T Inc. (T) and Verizon (VZ), both of which traded down following their earnings reports early in the period. Clients were net buyers of Amazon Inc. (AMZN) and Facebook Inc. (FB) with both stocks reaching all-time highs during the period. Apple Inc. (AAPL) was net bought as the stock reached a 52-week high. Investors will likely keep an eye on the stock as the company is expected to release the 10th anniversary iPhone later this year. Finally, Plug Power Inc. (PLUG) was also a net buy following a deal to sell $70 million of fuel-cell forklifts to Amazon. Additional popular names bought in April included Dry Ships Inc. (DRYS) and Berkshire Hathaway Inc. (BRK.B). TD Ameritrade clients were net sellers of Consumer Goods and Service companies during the April period. Starbucks Inc. (SBUX) was net sold for a second month in a row, after an analyst upgrade pushed the stock to a 52-week high. Panera Inc. (PNRA) was also net sold after being acquired by JAB Holdings for $315 per share. Whole Foods Market Inc. (WFM), a net sold, reached a 52-week high after Jana Partners took nearly a 9% stake in the company. Finally, with plans to launch a mobile money transfer app in partnership with American Express Inc. (AXP), Walmart (WMT) stock reach a 52-week high and was net sold. Net selling activity also occurred within the Energy sector as ConocoPhillips Corp. (COP) and Kinder Morgan Inc. (KMI) were net sold. The IMX value is calculated based on a complex proprietary formula. Each month, TD Ameritrade pulls a sample from its client base of 7 million funded accounts, which includes all accounts that completed a trade in the past month. The holdings and positions of this statistically significant sample are evaluated to calculate individual scores, and the median of those scores represents the monthly IMX. For more information on the Investor Movement Index, including historical IMX data going back to December 2010; to view the full report from April 2017; or to sign up for future IMX news alerts, please visit Additionally, TD Ameritrade clients can chart the IMX using the symbol $IMX in either the thinkorswim® or TD Ameritrade Mobile Trader platforms. Inclusion of specific security names in this commentary does not constitute a recommendation from TD Ameritrade to buy, sell, or hold. Past performance of a security, strategy, or index is no guarantee of future results or investment success. Historical data should not be used alone when making investment decisions. Please consult other sources of information and consider your individual financial position and goals before making an independent investment decision. The IMX is not a tradable index. The IMX should not be used as an indicator or predictor of future client trading volume or financial performance for TD Ameritrade. For the latest TD Ameritrade news and information, follow the company on Twitter, @TDAmeritradePR. About TD Ameritrade Holding Corporation Millions of investors and independent registered investment advisors (RIAs) have turned to TD Ameritrade’s (Nasdaq:AMTD) technology, people and education to help make investing and trading easier to understand and do. Online or over the phone. In a branch or with an independent RIA. First-timer or sophisticated trader. Our clients want to take control, and we help them decide how — bringing Wall Street to Main Street for more than 40 years. TD Ameritrade has time and again been recognized as a leader in investment services. Please visit TD Ameritrade’s newsroom or for more information.

News Article | November 23, 2016

A new research report by Transparency Market Research (TMR), titled “Chatbot Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016–2024,” serves as an essential source of analysis and information regarding various aspects of the market. A chatbot is artificial intelligent chat robot designed to interact with human via textual or auditory conversation methods particularly over the internet. It is a computer software design that allows conversation between human and machine using artificial intelligence. It is designed and programmed to support animation and text or speech recognition to provide virtual user interaction. Chatbots use natural language processing to stimulate a conversation with user leading to better customer engagement in applications such as e-commerce, retail and healthcare. Chatbots are accessible on various platforms such as hypertext markup language (HTML) pages, social networking websites, smartphones and computers. They are able to interact with human in various languages and are available in various graphical design format based on the end user application such as cartoon character, animal, child or 3D animated creature. The growth of the global chatbot market is primarily driven by the rapid technological development in artificial intelligence. The increasing emphasis on digitalization and the accessibility to messaging-as-OS platform are working in the favor of the global market. Moreover, rising reluctance of consumers to install apps and the availability of novel interactive interfacing models with online services are contributing to the growth of the market. On the other hand, the high cost and complexity of software are impeding the widespread adoption of chatbots. Furthermore, the presence of security and privacy issues associated with these systems is hampering the growth of the market. Nevertheless, the increasing investments in the training and designing of chatbots to retain and learn from past interaction between businesses and individuals are likely to provide a significant push to the global market in the near future. On the basis of type, the global chatbot market is categorized into web-based and stand-alone. The stand-alone segment is expected to command a large share in the overall market owing to their improved and simple user interaction, appealing graphical interface, and simple installation process. Moreover, the additional features such as text-to-speech and voice recognition offered by them are contributing to the growth of this segment. Based on end-user application, the market is divided into small- and medium-sized enterprises and large-sized enterprises. Intensifying business competitions is leading to increased adoption of chatbots among large enterprises. The small- and medium-sized enterprises segment is estimated to flourish owing to the growing popularity of interactive online channels and technological advancements. In terms of geography, the market is classified into Asia Pacific, Europe, Latin America, North America, and the Middle East and Africa. The growth of North America can be attributed to the increasing research and development in the field of artificial intelligence. As software developers and manufacturers seek to gain a competitive edge, they are expected to tap into immense opportunities present in the emerging countries of Asia Pacific and Latin America. The leading companies in the global chatbot market are increasingly focusing on the development of innovative chatbots that support several languages using natural language processing and can be easily arrayed on social media and SMS platform. Some of the key players operating in the market are Amazon Inc., Anboto Group, Apple Inc., Artificial Solutions Ltd., Aspect Software Inc., Creative Virtual Ltd., eGain Communications Corporation, Microsoft Corporation, and Inbenta Technologies Inc. Transparency Market Research (TMR) is a global market intelligence company providing business information reports and services. The company’s exclusive blend of quantitative forecasting and trend analysis provides forward-looking insight for thousands of decision makers. TMR’s experienced team of analysts, researchers, and consultants use proprietary data sources and various tools and techniques to gather and analyze information.

News Article | February 22, 2017

Amazon can now consider Walmart to be a strong competitor as the latter makes steady inroads in the e-commerce segment. Walmart in its fourth fiscal quarter saw a rise in online sales by 29 percent as it drew more customers. It looks like Walmart's strategy to lower prices and enhance its web services have worked in its favor as it gives serious competition to U.S.'s largest online retailer Amazon Inc. Amazon already has a loyal base of customers which grew stronger with the introduction of its two-day delivery Prime program. Walmart since 2016 has been trying to improve its online sales operation to race ahead of Amazon. According to Euromonitor, a research firm, Amazon garnered 33 percent of total U.S. online sales last year. Walmart captured the second place in 2016 and moved ahead of eBay by accounting 7.8 percent of online sales, which is 0.4 percent higher than 2015. However, even after this growth, online sales of Walmart account for only 3 percent or $14 billion of the retailers total global sales. Amazon, on the other hand, accounts for whooping $94 million net global sales garnered through online retail. "We're moving with speed to become more of a digital enterprise and better serve customers," said Doug McMillon president and CEO of Walmart Stores Inc. Various reasons can be factored in for the growth in Walmart's online sales. The U.S. retailer has remodeled its pricing strategies along with its online shopping programs to attract more traffic to its e-commerce site. Walmart Inc. has been on a roll as it has been acquiring numerous small businesses having a good online presence under it. In 2016, Walmart went on to buy e-commerce startup for more than $3 billion in an attempt to attract younger and affluent customers. The company has also purchased online footwear retailer for S70 million and Moosejaw, which is an outdoor and gear retailer, for $51 million subsequently. Although these companies were acquired by Walmart, they continue to work as independent e-commerce websites as of now. In addition to acquiring new businesses, Walmart also raised its stake in popular Chinese e-commerce website To directly compete with Amazon Prime, Walmart also started its two-day delivery service this January. The offer is available on online orders of the retailer's most popular products with a minimum purchase order of $35. Walmart officials said on Feb. 21 that they are getting positive response from consumers on the two-day delivery service. With such strategies being put in place, it seems Walmart is eyeing overtaking Amazon as the biggest retailer in the U.S. in the near future. © 2017 Tech Times, All rights reserved. Do not reproduce without permission.

Ghiassi M.,Santa Clara University | Skinner J.,Amazon Inc. | Zimbra D.,Santa Clara University
Expert Systems with Applications | Year: 2013

Twitter messages are increasingly used to determine consumer sentiment towards a brand. The existing literature on Twitter sentiment analysis uses various feature sets and methods, many of which are adapted from more traditional text classification problems. In this research, we introduce an approach to supervised feature reduction using n-grams and statistical analysis to develop a Twitter-specific lexicon for sentiment analysis. We augment this reduced Twitter-specific lexicon with brand-specific terms for brand-related tweets. We show that the reduced lexicon set, while significantly smaller (only 187 features), reduces modeling complexity, maintains a high degree of coverage over our Twitter corpus, and yields improved sentiment classification accuracy. To demonstrate the effectiveness of the devised Twitter-specific lexicon compared to a traditional sentiment lexicon, we develop comparable sentiment classification models using SVM. We show that the Twitter-specific lexicon is significantly more effective in terms of classification recall and accuracy metrics. We then develop sentiment classification models using the Twitter-specific lexicon and the DAN2 machine learning approach, which has demonstrated success in other text classification problems. We show that DAN2 produces more accurate sentiment classification results than SVM while using the same Twitter-specific lexicon. © 2013 Elsevier B.V. All rights reserved.

News Article | November 15, 2016

SEATTLE--(BUSINESS WIRE)--Amazon Inc. (NASDAQ: AMZN) announced today that its Prime Now one-hour delivery service has added its first drugstore with local, family-owned store, Bartell Drugs. Prime members in Seattle can now shop thousands of health, beauty, grocery, snacks, local products and much more from Bartell Drugs and have those items conveniently delivered for free in two hours. Delivery from Bartell Drugs is available in select Seattle metro areas including Capitol Hill, Columbia City,

News Article | September 16, 2016

General Motors Co. said Wednesday it is committing to power all of its global operations completely by renewable energy by 2050. The Detroit automaker said its goal is to generate or source electrical power for 350 facilities in 59 countries with renewable wind, sun and landfill gas energy during the next three-plus decades. This year, GM expects to have 3.8 percent of electricity use come from renewable resources. “Establishing a 100 percent renewable energy goal helps us better serve society by reducing environmental impact,” GM Chairwoman and CEO Mary Barra said in a statement. “This pursuit of renewable energy benefits our customers and communities through cleaner air while strengthening our business through lower and more stable energy costs.” Though the majority of Amazon Inc.'s recent renewable energy deals have been inked through its cloud computing segment, Amazon Web Services, the parent company announced its very own deal on September 15. The e-commerce giant is planning to purchase approximately 90% of the power generated from a new 253 MW wind farm being built in Scurry County, Texas, Amazon said in a news release. The facility, named "Amazon Wind Farm Texas," will generate 1,000,000 MWh of wind energy annually from more than 100 turbines. Set to begin operations in late 2017, the wind farm will be Amazon's largest renewable energy project to-date. Las Vegas Review-Journal: Carson City Judge’s Ruling Aligns With New Proposal for Existing Rooftop Solar A proposal to grandfather in existing residential rooftop solar customers under prior, more favorable utility rates for 20 years appears to be a case of very good timing. The same day the various parties in the debate agreed on a proposal to grant relief to as many as 32,000 residential net metering customers, a Carson City district judge weighed in on the issue. In his court order dated Monday, District Judge James Wilson set aside the original orders drafted by the Public Utilities Commission that imposed the new rate structure on existing net metering customers, finding that the orders violated constitutional and statutory requirements and were made on unlawful procedure. Don’t count on a big rally in crude oil, said Jeff Currie, head of commodities research at Goldman Sachs Group Inc. Or any rally, for that matter. Two years into an oil rout that saw West Texas Intermediate oil fall to about $26 a barrel in February, the risk is “to the downside” because there aren’t any clear catalysts to push up prices, Currie said in an interview in Lake Louise, Alberta. For the next 12 months, he said, oil is likely to trade in the $45 to $50 range. In the 2011 State of the Union address, President Obama set an ambitious goal to put 1 million electric vehicles on U.S. roads by 2015 -- a milestone seen as unlikely but technically achievable at the time. As of now, we’re only halfway there. But this year’s sales figures give reason for fresh optimism about the future of EVs in the United States. In 2016, EV sales are surging, even as gasoline prices languish and overall auto sales are down year-over-year. Coinciding with the sales surge, major news outlets that have been skeptical of EVs have been shifting their tone in recent weeks, potentially signaling a greater cultural acceptance of the technology.

Zhao Y.,Amazon Inc. | Wu J.,Temple University
Journal of Parallel and Distributed Computing | Year: 2013

Provisioning reliability in a high-performance content-based publish/subscribe system is a challenging problem. The inherent complexity of content-based routing makes message loss detection and recovery, and network state recovery extremely complicated. Existing proposals either try to reduce the complexity of handling failures in a traditional network architecture, which only partially address the problem, or rely on robust network architectures that can gracefully tolerate failures, but perform less efficiently than the traditional architectures. In this paper, we present a hybrid network architecture for reliable and high-performance content-based publish/subscribe. Two overlay networks, a high-performance one with moderate fault tolerance and a highly-robust one with sufficient performance, work together to guarantee the performance of normal operations and reliability in the presence of failures. Our design exploits the fact that, in a high-performance content-based publish/subscribe system, subscriptions are broadcast to all brokers, to facilitate efficient backup routing when failures occur, which incurs a minimal overhead. Per-hop reliability is used to gracefully detect and recover lost messages that are caused by transit errors. Two backup routing methods based on DHT routing are proposed. Extensive simulation experiments are conducted. The results demonstrate the superior performance of our system compared to other state-of-the-art proposals. © 2013 Elsevier Inc. All rights reserved.

Newcombe C.,Amazon Inc.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Since 2011, engineers at Amazon have been using TLA+ to help solve difficult design problems in critical systems. This paper describes the reasons why we chose TLA+ instead of other methods, and areas in which we would welcome further progress. © 2014 Springer-Verlag.

Xing Z.,Amazon Inc. | Pei J.,Simon Fraser University | Yu P.S.,University of Illinois at Chicago
Knowledge and Information Systems | Year: 2012

In this paper, we formulate the problem of early classification of time series data, which is important in some time-sensitive applications such as health informatics. We introduce a novel concept of MPL (minimum prediction length) and develop ECTS (early classification on time series), an effective 1-nearest neighbor classification method. ECTS makes early predictions and at the same time retains the accuracy comparable with that of a 1NN classifier using the full-length time series. Our empirical study using benchmark time series data sets shows that ECTS works well on the real data sets where 1NN classification is effective. © 2011 Springer-Verlag London Limited.

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