Artificial intelligence (AI) is an unstoppable force. As noted by Martech Today, AI is already "here and now," and three-quarters (registration required) of companies that are using AI see improved revenue. The technology continues to make significant advances in both predictive capability and intelligent decision making — organizations are excited about the prospect of merging AI with existing people and processes to boost overall business outcomes.
What AI enthusiasts don’t want to talk about? The immovable objective to its unstoppable force: employee experience.
https://www.forbes.com/sites/forbestechcouncil/2018/07/16/what-ai-enthusiasts-dont-want-to-talk-about/#522b823a3bba/
Not long ago, a company could gain the loyalty of its clientele based on product quality and little else. But with time, the difference between what a company offers and what its competitors provide has become negligible. Today, companies are increasingly seeking for alternative ways to win their customers. In ecommerce business, one such way is by providing impeccable user experience (UX). The article describes the ways artificial intelligence can enhance user experience.
https://www.clickz.com/using-ai-to-improve-user-experience/216056/
People don’t automatically trust machines, so as personalisation and automation step up a notch marketers need to ensure they do everything they can to create transparent and user-friendly experiences.
If you search the internet for ‘content and AI’, you’ll mostly find people talking and writing about how algorithms are trespassing on the territory of creatives. Algorithms for short and structured copywriting, algorithms as tastemakers, algorithms producing movies and so on.
But what’s more interesting than all the future-gazing is the question of how marketers are setting the context for AI?
https://www.marketingweek.com/ben-davis-user-experience-ai/
Artificial intelligence (AI) is in the news all the time, so you would be forgiven for thinking that there is a strong mainstream understanding of what AI is, and what it does.But the reality is that there is still a widespread misconception about the truth of AI. This is partly due to the dramatic doomsday scenarios we hear in the media, but the deeper problem is that there are still few concrete examples of where AI has actually been mastered and implemented in the real world.This has to change: the truth is, there are so many exciting applications of AI that will improve people’s lives, and customer experience has some of the biggest potential for disruption.
https://minutehack.com/opinions/user-experience-and-the-untapped-potential-of-ai/
orget the nightmare of cropping your photos so they look good on Twitter. The platform is now using AI to always show the best parts of your photos.
Here is a great example of what AI and machine learning should really be about: bringing a solution to things that can ruin the user experience, like badly cropped images on Twitter.
https://wersm.com/twitter-is-using-ai-to-show-the-best-parts-of-your-photos/
Since digitization, prospective customers of a company or brand have better access to social media and online content and therefore good opinions from existing customers can sway their opinions and in turn affect sales. Today, customer experience has become imperative to scale business growth in a competitive economy. As of now, companies are heavily investing in technologies such as conversational chatbot, use of virtual reality in retail, machine learning to process customer feedback to tailor their strategies.
https://customer-experience-management.cioreview.com/news/the-driving-force-behind-customer-experience-nid-25775-cid-118.html/
Rapidly developing smart retail will see three major trends in 2019, including an emphasis on the human side of business, according to CC Liu, secretary general of Asia AIoT Alliance.
Liu stressed that tech development originates from human nature, with all tech designs aimed at providing consumers with greater convenience. Accordingly designers must grasp users' situations well to provide better services. He continued that Amazon unmanned stores, for instance, allow consumers to take things from the store without having to pay at the counter.
The second trend is creating more convenient UI (user interface) and more friendly UX (user experience) to facilitate purchases, Liu said, adding that based on consumer psychology, consuming is quite an impulsive behavior and therefore how to shorten the transaction process will be crucial for further upgrades in smart retail operations.
The third trend is that smart retail will entail AI as the core. Liu said that AI is not almighty but serve as a helper to decision making. AI can be utilized to analyze big data to provide references for managers in handling distribution, pricing, marketing and new product development, while also further predicting market trends and facilitating customized services, according to Liu.
https://www.digitimes.com/news/a20181112PD214.html/
If you’ve been paying attention to the application of artificial intelligence in retail, you may feel like the buzz around the topic has gone from zero to “arrived” in less than a year. In retail time, even at the speed of the modern consumer, that is incredibly fast.
Some of the hype has come from activity around specific use-cases for the application of AI in retail. While companies like Baidu profess over 100 AI capabilities, in retail it appears that use-cases are centering on four main areas:
https://www.forbes.com/sites/nikkibaird/2018/08/13/retail-has-three-big-ai-dilemmas/
Recently, a lot of trending customer journey analysis around user experience, marketing and technology, is attempting to take humans and their cost out of consideration, replacing them with technology and automation. But what are we pursuing with such an effort?
Apart from optimisation and efficiency, are we pursuing the anticipation of emotions or feelings in a given circumstance and expecting technology and automation to take care of it? Interestingly, most successful brand stories are about human beings who have gone out of their way to help customers.
One reason for that is “help” between brands and customers is based on empathy rather than just solutions. So, it is paradoxical to find a lot of content surrounding AI focused on making contact “more human” and more “naturally conversational”. With that said, are we expecting AI to drive customer-brand relationships rather than solutions?
https://www.marketing-interactive.com/relationships-or-solutions-how-collaboration-can-succeed-in-an-ai-world/
For many retailers, improving the customer experience involves simplifying e-commerce to rely on fewer clicks and supplementing text search for the ever-potent, AI-powered visual search feature.
Whether it be for navigating outfit inspiration, as seen on platforms such as Pinterest and ShopStyle or creating hyper-personalized recommendations, witnessed in Spotify and Netflix, the bottom line is through these technologies, retailers further empower their shoppers and guide purchases.
In a similar mission, the winner of Digiday’s Best Retail Technology award, Syte, aims to provide a cutting-edge visual AI search, which offers the necessary immersive experience and improved user journey shoppers crave — all beginning with the shopper’s chosen image.
https://wwd.com/business-news/technology/visual-search-1202880164/v/
