[{"@context":"http:\/\/schema.org","@type":"Article","@id":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/#Article","articleBody":"Artificial intelligence is more than just a buzzword, and is now deeply embedded in our daily lives, whether we recognize it or not. In fact, examples of artificial intelligence in e-commerce can be found wherever we look.\nSimply put, machines are learning how to assist us with the tasks that we\u2019d usually have to undertake, and they are getting incredibly good at their jobs, allowing us humans to do more. With machines now able to complete mundane tasks, we can focus on diving deeper into the things that previously we never had the time to accomplish.\nExamples of artificial intelligence in e-commerce\nSince we live in a global economy where sales happen at all hours of the day and consumers can purchase goods from all over the world, businesses need to be operating on all cylinders, always ready to serve their customers.\nAI in e-commerce allows organizations to collect and analyze data in real-time, allowing businesses to be more efficient, and to personalize the customer experience based on what they know about that customer.\nChatbots\nThe ability of e-commerce sites to offer 24\/7 support to their customers is thanks to chatbots. Providing a seamless brand experience, these bots have grown beyond their initial clunky replies to rather intelligent beings that can communicate effectively with visitors.\nChatbots can:\u00a0\nMake interactions and conversations more human-like\nProvide helpful replies that actually answer the customer questions or requests\nAre always on-call, 24\/7\nGet smarter over time by remembering what answers worked best\nOffer personalized suggestions that are relevant to the customer\n\u201cMore and more retailers are using chat bots on websites and through chat applications such as Facebook Messenger. Potential customers can communicate with them using speech and\/or text. The bots will assess and answer customer questions, provide assistance in the selection process, and execute simple tasks,\u201d Notes Mark de Bruijn in his post on robots and AI in retail. [Read the full post here]\nCRM\nIn the past, Customer Relationship Management (CRM) heavily relied on on people to collect and analyze data in order to best serve their clients. Today AI can quickly sift through countless data and accurately predict which customers are more likely to make a purchase, and how you can best engage with them.\n\u201cBeing able to sift through and analyze years of customer data to pinpoint trends and tailor your actions is something we\u2019ve been building towards for a long time. And now, it\u2019s a task that tends to fall to our sales staff.\nBut with machine learning, your advanced cloud CRM solution can learn over time to forecast and score deals with greater accuracy, freeing up those sales team members to focus on building and nurturing relationships that add value to the business. Sales reps will more easily reach their numbers, managers will see teams meeting and exceeding revenue goals. Machine learning offers the ability to simplify your organization by leveraging all this data you\u2019ve collected,\u201d pointed out Shalini Mitha in her post on AI being the future for sales. [Read the full post here]\nIoT\nCohesiveness makes things run smoother, and IoT offers connectivity for all facets of daily life. From syncing multiple devices to programming your lights, washing machine, car, and appliances, while also monitoring city traffic lights and air quality, the Internet of Things is improving life around the globe.\nTraditional B2C retailers and B2B retailers alike can benefit greatly from IoT innovations. Tim Clark mused, \u201cLike so many other tech buzzwords, \u201cinnovation\u201d is ripe for ridicule. Overused and abused, it pretty much describes what every Silicon Valley start-up and stalwart is pushing. So what happens when you actually come across something innovative in the tech space? How do you describe it? Cool? Simple Useful?\u201d In his post highlighting some incredible technology, Tim predicts that the future of e-commerce is undoubtedly more amazing than we ever dreamed. [Read the full post here]\nSales: Artificial intelligence in e-commerce fuels the future\nNo matter how much our world changes, commerce relies upon sales, pure and simple. Artificial intelligence in e-commerce can assist with the entire customer journey, from prospecting to a sale, to service after the sale.\n\u00a0AI in sales can help with forecasting and reporting:\u00a0\nMake your sales proactive instead of reactive\nUnderstand patterns in customer behavior over time and provide relevant insights\nHone in on customer intentions and automate offers that will best help close the sale\nSwati Sinha explains, \u201cAI can generate accurate revenue forecast predictions at a macro-level for sales managers by providing insights into sales trends segmented by sales organizations, sales reps, etc.. This can help optimize the resource allocation to build healthy pipeline, analyze team performance, and be cost-effective. With prescriptive insight managers can gain perspective into the underlying reasons for sales trends, as well as actions needed to improve sales.\u201d [Read the full post here]\nProduct content management and image search\nFrom managing inventory to cataloging products, AI allows businesses to provide seamless customer experiences by tracking and organizing important data and materials.\nWriting product descriptions for countless inventory is overwhelming, and can be very expensive. AI can help by automating the process of writing product descriptions.\nAI can assist with product descriptions and listings by:\u00a0\nCreating product descriptions rapidly and updating them by the thousands per hour\nEmphasize the details that customers seek the most\nAnalyze product descriptions and update them if they aren\u2019t performing as needed\n\u201cTo deliver unique, yet consistent, customer experiences across every touchpoint, it is very important that you take into account product content management (PCM). Managing the complexity of a product that\u2019s available across global regions should be done centrally and adapted locally, allowing customers to have a consistent experience, whether they are shopping in the store, or online, and no matter where they are located,\u201d said Gaston Edreira. [Read the full post here]\nCustomer service\nOutstanding customer service is crucial in this competitive economy, and is a big part of artificial intelligence in e-commerce. AI allows brands and businesses to focus on what matters most: Making the customer happy, and responding to their concerns, no matter the hour or day.\n\u201cA hybrid customer service environment finds that balance between man and machine. It leverages the best of AI while still utilizing agent knowledge and preserving customer context. While chatbots and machine learning techniques excel with Tier 1 service engagements by answering those common customer questions, they may not always have the answer to the more complex, situation or customer specific questions,\u201d notes Lisa James. [Read the full post here]\n\u201cSince there will be fewer and fewer in-person interactions in the future, the importance of them will rise. Luckily, many routine tasks will be automated and customer service agents can concentrate on what they do best: Deliver value-adding personal service to your customers,\u201d said Kirsi\u00a0Tarvainen. [Read the full post here]\nAutomation\nAI and machine learning doesn\u2019t mean that the robots are taking over, though some feel this way. They aren\u2019t frightening things; they offer opportunity to retailers to provide exactly what the customer wants, when they want it.\n\u201cUsing AI, the representative can connect the dots to more intuitively help the customer. This doesn\u2019t upset the customer. It saves them time and the frustration of explaining something repeatedly, rehashing details and trying to communicate their dilemma,\u201d explained\u00a0Michele Hackshall. [Read the full post here]\nIt\u2019s time to embrace AI for all that it has to offer the world of commerce and beyond.\nSmarter. Faster. Better results. Learn about the benefits of AI and machine learning\u00a0HERE.","author":{"@type":"Person","@id":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/#Article_Person","image":{"@type":"ImageObject","@id":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/#Article_Person_ImageObject","url":"https:\/\/23x6xj3o92m9361dbu2ij362-wpengine.netdna-ssl.com\/wp-content\/uploads\/2020\/01\/JennVandeZande_Profile_Pic_2018-1-150x150.jpg"},"name":"Jenn Vande Zande","sameAs":["https:\/\/twitter.com\/jennvzande","https:\/\/www.linkedin.com\/in\/jennvandezande"],"url":"https:\/\/www.the-future-of-commerce.com\/contributor\/jenn-vande-zande\/"},"dateModified":"2021-07-30T01:16:38+00:00","datePublished":"2018-01-26T14:06:40+00:00","description":"The machines are here. Artificial intelligence in e-commerce is boosting bottom lines in countless ways. Here are some of the best examples.","headline":"The best examples of artificial intelligence in e-commerce","image":{"@type":"ImageObject","@id":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/#Article_ImageObject","height":"630","url":"https:\/\/www.the-future-of-commerce.com\/wp-content\/uploads\/2018\/01\/thumbnail-b5151aba0b79dfbcce72949dcdeeddd1-1200x630.jpeg","width":"1200"},"mainEntityOfPage":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/","name":"The best examples of artificial intelligence in e-commerce","publisher":{"@type":"Organization","@id":"https:\/\/www.the-future-of-commerce.com\/","additionalType":"https:\/\/www.wikidata.org\/wiki\/Q1193236","description":"Relevant, timely information & analysis on commerce trends, both consumer-facing and B2B.","logo":{"@type":"ImageObject","@id":"https:\/\/23x6xj3o92m9361dbu2ij362-wpengine.netdna-ssl.com\/wp-content\/themes\/hybris_foc\/assets\/images\/layout\/logo-new-2x.png?_=1","height":"96","url":"https:\/\/23x6xj3o92m9361dbu2ij362-wpengine.netdna-ssl.com\/wp-content\/themes\/hybris_foc\/assets\/images\/layout\/logo-new-2x.png?_=1","width":"500"},"name":"The Future of Customer Engagement and Experience","sameAs":["https:\/\/podcasts.apple.com\/us\/podcast\/a-call-for-a-better-experience\/id1479742201","https:\/\/twitter.com\/FutureOfCEC","https:\/\/www.linkedin.com\/groups\/4844282","https:\/\/www.the-future-of-commerce.com\/feed\/"],"url":"https:\/\/www.the-future-of-commerce.com\/"},"url":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/#Article"},{"@context":"https:\/\/schema.org\/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"2018","item":"https:\/\/www.the-future-of-commerce.com\/2018\/#breadcrumbitem"},{"@type":"ListItem","position":2,"name":"01","item":"https:\/\/www.the-future-of-commerce.com\/2018\/\/01\/#breadcrumbitem"},{"@type":"ListItem","position":3,"name":"26","item":"https:\/\/www.the-future-of-commerce.com\/2018\/\/01\/\/26\/#breadcrumbitem"},{"@type":"ListItem","position":4,"name":"The best examples of artificial intelligence in e-commerce","item":"https:\/\/www.the-future-of-commerce.com\/2018\/01\/26\/artificial-intelligence-in-e-commerce-best-examples\/#breadcrumbitem"}]}]