Key Areas Where AI is Improving Customer Experience
Lucky for you, all is not lost yet. As AI cloud computing expands and becomes more powerful, so do the areas where it can be employed. Customer experience just so happens to be that overhauled territory with the most research and potential.
We can already witness how the 2011 study by Gartner predicting that by 2020,85% of customer relationshipswill be handled without humans is coming to life. AI-powered email suggestions that show up while you’re crafting that email and chatbots programmed to execute complex transactions in a matter of seconds are just the tips of the iceberg.
Withover 50% of businessesare now turning to deep learning AI technology to improve their customer experience, it’s no wonder companies are investing millions – and some, billions – into data analysis in hopes to find the best ways to use the new tech phenomenon to their advantage.
To incorporate AI solutions into the customer experience your business provides, you have to ensure that these three variables – data unification, live insights, and prompt interactions – are a part of your company’s common practice.
Researchers at IDC discovered that30% of customerswill never return to the company that didn’t prioritize customer service. The number is high enough to prompt you to reevaluate the customer relationships your business stands by and consider taking a closer look at how they can be refined with the help of the magic tool that AI is.
To get started, check out how disruptive AI already is:
Data is king, and so using it to attract customers who are genuinely interested in your offering is a smart thing to do. Let’s face it – poorly positioned targeting is not only a waste of money but also a deteriorated reputation. And this is a no-go in the competitive business landscape.
Being theforecasted trend for 2021, personalization isn’t going anywhere. If anything, it’s only starting to gain momentum in the CX realms where marketing is one of the most-funded practices.
To make use of the analytics, AI takes customer behavior like the time spent browsing a web page, the number of clicks and the searches made on it, and the abandoned cart instances to predict what the shopper might enjoy viewing and purchasing in the future.
Sounds simple, but as we know by now, all genius is simple. It takes assessing the needs of potential customers and tailoring the offer to them to improve your brand’s CX and sales KPIs, too.
On the topic of customers’ needs, it seems like the area where some of the most significant AI-based changes can be made is finances. From resolving client complaints to enabling contactless transactions, the possibilities of payment automation are endless.
Is there a way to simplify – or, rather, make it effortless for customers to shop till they drop while simultaneously minimizing the risk of encounteringpayments fraud? Absolutely. Digital payments with encryption, mobile wallets with two-factor authentification, wireless transfers enabled via the provision of personal information details, you name it – AI can add (and already is adding) a layer of security that isn’t otherwise applicable.
This is great news – in the fast-paced world of today, the quicker customers act on their impulse, the higher are the chances of them actually going through with the purchase.
