{"id":2073,"date":"2014-04-03T14:08:16","date_gmt":"2014-04-03T14:08:16","guid":{"rendered":"http:\/\/www.repricerexpress.com\/?p=2073"},"modified":"2020-07-22T16:37:56","modified_gmt":"2020-07-22T15:37:56","slug":"big-data-potential-ecommerce","status":"publish","type":"post","link":"https:\/\/www.repricerexpress.com\/big-data-potential-ecommerce\/","title":{"rendered":"What is Big Data’s Potential for Ecommerce?"},"content":{"rendered":"

Smart<\/em> retailers have already cottoned on to using big data to propel them forward and capitalise on a market of untapped sales (those selling on Amazon, eBay and Rakuten’s Play.com can also piggyback off those marketplaces’ huge efforts to capitalise on the information and stats they collect). In this article, RepricerExpress will be taking a look at what\u2019s in store for big data in the immediate (within the next year) and far-off (ten years) futures.<\/strong><\/p>\n

“I\u2019m Kind of Embarrassed to be Asking this, But What Exactly is Big Data?”<\/h2>\n

The most common explanation<\/a> around on the interwebs is that big data is “a collection of data sets so large and complex that it becomes difficult to process using” traditional means. It\u2019s sort of like that explanation in chemistry for what a mole is: a mole of green peas<\/a> (Avogadro\u2019s Number) is enough green peas to cover 602 of our planets a metre deep.<\/p>\n

The only problem with this is while we can rationally comprehend what a mole of green peas is or that a zettabyte has over a trillion gigs<\/a>, actually understanding what that number means is useless. It\u2019s both so big and so new, we don\u2019t have any frame of reference for it and can\u2019t point to, say, the Empire State Building and say: “Aha! That top floor can hold two zettabytes!” But it\u2019s a big number, and that\u2019s what big data concerns itself with.<\/p>\n

“Thanks for That, But How Exactly Will Big Data Work in the Future?”<\/h2>\n

The biggest way we\u2019ve seen this so far is with Amazon\u2019s announcement of anticipatory shipping<\/a>\u00a0where Amazon will take users\u2019 past information and use it to predict future purchases. It\u2019s great because it allows consumers to stay comfortable in their own homes and not let them worry about minutiae purchases, like toilet paper.<\/p>\n

On a larger scale and more down the road, we\u2019ll start to see things like cash coming close to disappearing. Chances are it won\u2019t go entirely, but we\u2019re already firmly entrenched in a society of digital buying and selling, which had its advent traced back to PayPal. Banks have always engaged in a relatively cash-less way of doing business, but the retail process will involve more digital numbers on a screen and less paper money in a wallet.<\/p>\n

This is especially true with repricing, the practice of adjusting your prices on a regular basis to stay competitive. With a digital trail, prices can be reconfigured much more rapidly in accordance to market needs, and a tool like RepricerExpress<\/a> (check out our 15-day free trial!) helps you keep an edge over your competitors.<\/p>\n

“Sounds Great, but How Will it Affect Me?”<\/h2>\n

As a retailer, you\u2019ll be able to use things like image recognition to speed up the buying process for your consumers. Let\u2019s say they took a picture of something they saw on the street that they liked, but they didn\u2019t know the name of it. Big data that\u2019s also smart data will allow them to upload it onto your site and search for it that way, instead of having to Google what they saw and use keywords. That\u2019s a bit far off in the future, but an example of how big data could possibly turn out.<\/p>\n

Although big data is a little hard to understand on an everyday level, it\u2019s only a matter of time before we get used to how it works. And as a retailer always trying to get to the next level, one of the ways you can do that is by testing out RepricerExpress<\/a> with our 15-day free trial.<\/h3>\n","protected":false},"excerpt":{"rendered":"

Smart retailers have already cottoned on to using big data to propel them forward and capitalise on a market of untapped sales (those selling on Amazon, eBay and Rakuten’s Play.com can also piggyback off those marketplaces’ huge efforts to capitalise on the information and stats they collect). In this article, RepricerExpress will be taking a […]<\/p>\n","protected":false},"author":3,"featured_media":2078,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-2073","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-amazon"],"yoast_head":"\nWhat is Big Data's Potential for Ecommerce?<\/title>\n<meta name=\"description\" content=\"Discover how big data is set to further change e-commerce and how we sell and purchase products.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.repricerexpress.com\/big-data-potential-ecommerce\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Big Data's Potential for Ecommerce?\" \/>\n<meta property=\"og:description\" content=\"Discover how big data is set to further change e-commerce and how we sell and purchase products.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.repricerexpress.com\/big-data-potential-ecommerce\/\" \/>\n<meta property=\"og:site_name\" content=\"RepricerExpress\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/repricerexpress\" \/>\n<meta property=\"article:published_time\" content=\"2014-04-03T14:08:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-07-22T15:37:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.repricerexpress.com\/wp-content\/uploads\/2014\/04\/big-data-ecommerce-servers.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"880\" \/>\n\t<meta property=\"og:image:height\" content=\"587\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Seamus Breslin\" \/>\n<meta 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