News Article | May 8, 2017
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 JD.com'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 http://www.researchandmarkets.com/research/k343s8/asiapacific To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/asia-pacific-cross-border-b2c-e-commerce-2017-new-developments-in-cross-border-e-commerce-in-the-asia-pacific---research-and-markets-300452483.html
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 Jet.com for more than $3 billion in an attempt to attract younger and affluent customers. The company has also purchased online footwear retailer ShoeBuy.com 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 JD.com. 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.
Amazon Inc. | Date: 2016-08-10
Series of books on a variety of topics related to audiovisual entertainment, namely, a series of fiction and non-fiction books on a variety of topics in the nature of childrens entertainment; fiction and non-fiction books on a variety of topics in the nature of childrens entertainment; comic books; graphic novels; printed stories in illustrated form and comic book stories, storyboards, and artwork; printed periodicals in the field of comic book stories, storyboards, and artwork; magazines featuring childrens entertainment; newspapers and photographs of general interest; journals, periodicals, and newsletters in the field of childrens entertainment; printed photographs; stationery; catalogues in the field of childrens entertainment; address books; art prints; arts and craft paint kits; autograph books; baby books; ball point pens; baseball cards; bookmarks; books, magazines, and periodicals, featuring stories, games and activities for children and teens; bumper stickers; calendars; cartoon strips; Christmas cards; chalk; childrens activity books; coloring books; color pencils; decals; diaries; drawing rulers; envelopes; erasers; felt pens; flash cards; paper gift cards; gift wrapping paper; greeting cards; memo pads; note paper; notebooks; notebook paper; paintings; paper flags; paper cake decorations; paper party decorations; paper napkins; paper party bags; pen or pencil holders; pencils; pencil sharpeners; pen and pencil cases and boxes; pens; Printed periodicals in the field of childrens entertainment; photograph albums; photo-engravings; pictorial prints; picture books; portraits; postcards; posters; printed awards; printed certificates; printed invitations; rubber stamps; score cards; stamp albums; staplers; stickers; trading cards; writing paper; and writing implements. Athletic shoes; bandanas; baseball caps; beach cover-ups; beachwear; belts; bikinis; blazers; boots; bow ties; caps; cloaks; cloth bibs; coats; costumes for use in role-playing games; dresses; ear muffs; footwear; gloves; golf shirts; Halloween costumes; hats; head bands; headwear; hosiery; infantwear; jackets; jeans; jerseys; kerchiefs; leotards; leg warmers; lingerie; loungewear; mittens; neckties; night shirts; night gowns; overalls; pajamas; pants; polo shirts; ponchos; rainwear; robes; sandals; scarves; shirts; shoes; skirts; shorts; slacks; slippers; sleepwear; socks; stockings; sweaters; sweat pants; sweat shirts; swimsuits; t-shirts; tank tops; tights; underwear; vests; and wrist bands. Action skill games; action figures and accessories therefor; board games; card games; childrens multiple activity toys; balloons; basketballs; bath toys; baseballs; beach balls; bean bags; bean bag dolls; board games; building blocks; bubble making wands and solution sets; chess sets; childrens play cosmetics; Christmas stockings; collectable toy figures; crib mobiles; crib toys; disc toss toys; dolls; doll clothing; doll accessories; doll playsets; electric action toys; equipment sold as a unit for playing card games; hand held unit for playing electronic games other than those adapted for use with an external display screen or monitor; inflatable toys; jigsaw puzzles; jump ropes; kites; marbles; manipulative games; mechanical toys; music box toys; musical toys; parlor games; party favors in the nature of small toys; party games; playing cards; plush toys; puppets; roller skates; rubber balls; skateboards; soccer balls; spinning tops; squeeze toys; stuffed toys; talking toys; target games; teddy bears; tennis balls; toy action figures and accessories therefor; toy bucket and shovel sets; toy mobiles; toy vehicles; toy scooters; toy cars; toy model hobbycraft kits; toy figures; toy banks; toy trucks; toy watches; wind-up toys and yo-yos; paper party favors; paper party hats.