Received: from nobody by stodi.digitalkingdom.org with local (Exim 4.87) (envelope-from ) id 1czPke-0006Pn-PT for lojban-newreal@lojban.org; Sat, 15 Apr 2017 08:36:40 -0700 Received: from exchange122.oreadhiph.com ([80.79.117.146]:52004 helo=mail.yourrewardsonlineupdates.top) by stodi.digitalkingdom.org with esmtp (Exim 4.87) (envelope-from ) id 1czPka-0006P2-4j for lojban@lojban.org; Sat, 15 Apr 2017 08:36:40 -0700 DKIM-Signature: v=1; a=rsa-sha1; c=relaxed/relaxed; s=dkim; d=yourrewardsonlineupdates.top; h=Date:From:To:Subject:MIME-Version:Content-Type:List-Unsubscribe:Message-ID; i=amazonpoints@yourrewardsonlineupdates.top; bh=3c8CbT1DFmnrw55r0u37/E/EXT4=; b=joJ7KA74ju3jWprLZ1vabKXGCSnELpRcnI9/Q/uLLCxvd4geM+6ww32HTT/DYvAc3Og4hkPpyMsZ xgr0shMyBusl9YgQ2v1WqF7k8B7zRyTeRr8frHcZAdjUPz60VUKI0jxmUTvtKyLTmUccZbX9swZr MyGy+r0Ommfdz2wohkk= DomainKey-Signature: a=rsa-sha1; c=nofws; q=dns; s=dkim; d=yourrewardsonlineupdates.top; b=Vx+RAVEajdnRKVMcy+UTIP+ywgkJW84Ztg5w1doLM8L6AoSzGHtt79+laLcTEoQ1Y8OSnY+ZrKmI jhhWdM44nNLuj5E72Q9W/lCoclIuRhJ0tjnCV7zInmLXu11kNeaoNM95VApPz2SueC+dfzYKNOb2 HXzwjrbXarLxSv5nX3E=; Received: by mail.yourrewardsonlineupdates.top id hu9cds0001ga for ; Sat, 15 Apr 2017 13:26:13 -0400 (envelope-from ) Date: Sat, 15 Apr 2017 13:26:13 -0400 From: AmazonPoints To: Subject: Your Amazon-Points are Going to-Expire! Please-Claim. MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_Part_4_256431858.1492270288965" X-SMTPAPI: {"category": "20170415-113109-699-197"} List-Unsubscribe: Feedback-ID: 20170415113109699197 Message-ID: <0.0.0.0.1D2B60D61D8DFC6.30394D@mail.yourrewardsonlineupdates.top> X-Spam-Score: 0.7 (/) X-Spam_score: 0.7 X-Spam_score_int: 7 X-Spam_bar: / X-Spam-Report: Spam detection software, running on the system "stodi.digitalkingdom.org", has NOT identified this incoming email as spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see the administrator of that system for details. Content preview: Reward-Specials Your Amazon-Points are About to-Expire! Dear lojban@lojban.org, [...] Content analysis details: (0.7 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked. See http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block for more information. [URIs: yourrewardsonlineupdates.top] -0.0 SPF_PASS SPF: sender matches SPF record 1.2 DEAR_EMAIL BODY: Message contains Dear email address 0.8 MPART_ALT_DIFF BODY: HTML and text parts are different 0.7 MIME_HTML_ONLY BODY: Message only has text/html MIME parts -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% [score: 0.0000] 0.0 HTML_MESSAGE BODY: HTML included in message 0.0 MIME_QP_LONG_LINE RAW: Quoted-printable line longer than 76 chars -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily valid -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's domain 0.0 MIME_HTML_ONLY_MULTI Multipart message only has text/html MIME parts 0.0 T_REMOTE_IMAGE Message contains an external image ------=_Part_4_256431858.1492270288965 Content-Type: text/html; charset=us-ascii Content-Transfer-Encoding: quoted-printable =20 Reward-Specials=20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20
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If you think Amazon Go, the new walk in/walk out concept grocer= y store, is about produce, you're missing the point. Amazon Go might curren= tly be in beta - but it represents Amazon's ambition to be the true alpha o= f retail. And the giant is ready to take your dollars, whether you're spend= ing them online or in real life. This is why: Nine out of ten dollars we sp= end in the US are in physical stores. Sure, online retail accounts for abou= t $360 billion - no small sum. But at $4 trillion, offline retail mops the = floor with e-commerce. For comparison: Walmart's revenue last year was appr= oximately $486B; Amazon's was $107B. In fact, if Amazon accounted for 100 p= ercent of online sales in the US last year and you added in the 2015 revenu= e of Facebook (about $18B), the giant would still fall short of Walmart by = $19B. In short, if Amazon wants to unseat Walmart as retail's 500-pound gor= illa, it needs to take a tremendous bite of that offline revenue.

Am= azon Go represents another salvo in a long campaign to win that war. What m= akes Amazon Go interesting is not the concept of a grab-n-go grocery. It's = the weaving together of digital technology with the offline shopping experi= ence to solve consumers' biggest problems. Our research shows that the numb= er-one reason consumers don't like to shop in a store is waiting in line; t= he second one was having to physically go to the store in the first place. = To most of us, it feels like a waste of time to wait at the store on top of= the chore of actually getting there. Amazon Go eliminates the issue of lin= es entirely by letting you pick and pay for what you want online, so the on= ly thing you need to do in the store is physically pick up your items and j= et.

More importantly, Amazon Go is a portend of the future. It's the= way Amazon might win this whole thing. The Amazon brand inspires consumer = comfort and engagement. Most retail apps are big busts when it comes to con= sumer adoption and engagement. How often do you really need to check in wit= h Macy's, for example? Amazon's a whole different ballgame. It already has = a reported 244 million active customers and 54 million Prime customers; the= majority of US consumers have made at least one purchase, which requires a= n Amazon account with payment on file. An Amazon Go model would need consum= ers to download an app - but given Amazon's sheer ubiquity, it's feasible t= hat large volumes of shoppers who are already customers would download it w= ithout much encouragement. That's simply not the case for most other retail= ers.

Amazon has the technical ability to connect products with peopl= e. Well, it's fair to say that its patents clearly hint that the technology= is in place - or will be. They're likely starting with computer vision. Yo= ur face and boy have a unique signature, similar to fingerprints. Cameras e= quipped with very state of the art software could identify you based on ski= n tone, facial structure and other characteristics unique to you as you sta= nd in front of a product. Creepy? Potentially. But remember - this is an op= t-in experience. It can also use sensors to measure the weight of the produ= cts leaving the shelves to determine what you've purchased, products that w= ill also be equipped with RFID tags to confirm when they leave the store.

Immense computing power is not a problem for Amazon. The idea of know= ing who every single person in a store is at any given time, plus matching = them to their selected products, requires a high degree of accuracy. Accura= cy in turn, particularly as it relates to processing images very quickly, r= equires significant computing horsepower, even when it's being applied to a= small number of people, the shoppers in the store. Moreover, Amazon will u= ndoubtedly apply its data-driven, highly efficient personalization to each = store, ensuring a product mix that's tailored for its specific locations. T= hat also means computing power. But let's not forget: Amazon created AWS, t= he $10B cloud computing service. Another piece of the puzzle is already in = place.

They've already nailed the logistics. 44 percent of the US po= pulation lives within 20 miles of an Amazon warehouse. Beyond physical spac= e for product, Amazon has the logistical know-how to first, stock physical = grocery stores, and second, quickly adjust that product mix on a store-by-s= tore basis. As competitors already know, it would be very hard to scale up = and compete with Amazon (unless, of course, you're Walmart).

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