You responded with, for example, \u201cWell, I\u2019m looking for an outfit for a job interview.\u201d<\/em><\/p>\n They nodded knowingly, walking you toward a display of dress shirts. <\/em><\/p>\n \u201cWhat size do you usually wear?\u201d they may have asked. \u201cWhat colors do you prefer? Will you wear this with a suit jacket? Do you need pants to match?\u201d<\/em><\/p>\n With each answer, you shared a valuable piece of customer data. That salesperson was given information on the product you were searching for, your size, your style, and other items of clothing you may be interested in. And you were happy to give them that information. Because you knew, in return, they\u2019d connect you with what you needed. They\u2019d give you a better, more personalized shopping experience<\/a>. They\u2019d make your life easier; more enjoyable, even. <\/p>\n It’s this conversation \u2014 this exchange of data \u2014 that is the building block of every commerce experience. Whether physical or digital, commerce experiences are driven by an understanding of the customer that only data can provide. And in today\u2019s digital world, when nearly every commerce experience starts or ends with a digital touchpoint, businesses have the ability to take that understanding even further. Technology enables them to use data to unlock a level of real-time personalization that simply isn\u2019t possible in the physical world. To build not just a commerce experience, but an incredible commerce experience. <\/p>\n Data can take that store you entered to find an interview outfit and rearrange its shelves, removing winter coats and replacing them with suit jackets in your style, your size, and your favorite color. On a more basic level, it can ensure you\u2019re not seeing a pair of shoes that are out of stock in your size. It can make it so that you\u2019re not being recommended a pair of pants you already own. <\/p>\n While data is always at work (even tangentially) within the commerce experience, it is at the very center of incredible commerce experiences. It is the foundation of the tech stack, powering an agile collection of solutions that can bring real-time insights into every customer touchpoint. It makes shopping enjoyable, yes, but it also unlocks the potential for something greater: the type of personalization that keeps a customer coming back to a brand again and again. <\/p>\n That\u2019s why a customer data engine<\/a> sits at the heart of our solutions at Bloomreach, and it\u2019s why we\u2019ve spent the past 13 years training our AI and machine learning on the incredible breadth of data (both customer and product<\/a>) that we\u2019ve amassed over the years. We believe that a real-time, in-depth understanding of who your customer is and what it is they\u2019re seeking is more than just a \u201cnice to have.\u201d Today, when consumers have endless choice at their fingertips, businesses not only need to convince consumers to engage and purchase, they need to convince them to do that repeatedly. The personalization that real-time data powers is the difference between the businesses that will last and the ones that won\u2019t. <\/p>\n The hundreds of businesses we work with here at Bloomreach are well aware of this. They\u2019ve used our tools to empower their marketing and merchandising teams in their roles, allowing them to use their expertise to not only create the experiences that are right for their unique brand, but to do so with an unparalleled understanding of just who those experiences are serving. As a result, we\u2019ve watched these businesses drive incredible, measurable success<\/a> over the years \u2014 not only in engagement, but also in actual revenue growth. <\/p>\n![](\"https:\/\/www.bloomreach.com\/wp-content\/uploads\/2024\/05\/customer-data-engine-in-article.jpg\")
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