Why AI Is Becoming a Core Part of the Customer Experience
The tools businesses have to work with today have gotten a serious upgrade with the widespread availability of artificial intelligence. With the powerful computing power of AI and the unique perspective of their employees, companies can elevate every experience.
Brands can focus more on what truly matters and gain valuable insights into customer sentiment and needs. By implementing AI tools, companies can transform the customer experience at every interaction.
Customers Don’t Have Time to Wait, But AI-Powered Agents are Ready
Your customers’ questions and problems exist beyond business hours. However, the more time between issue and resolution, the higher the chance of dissatisfaction – even if the issue is successfully resolved.
Industry changes have shifted your customers’ perception of what constitutes timely follow-up and resolution. This change in expectations is due largely to changes in technology.
If you send a text to a friend, you expect an answer back quickly. Too long of a delay, and you start to get worried. Before everyone carried a mobile device, wait times between contact and callback were much longer.
Companies must shift to what their customers expect based on the world around them. AI for automotive shopping can help dealerships meet, and even exceed, their customers’ expectations.
Off-hours car shopping online is both convenient and common among car buyers. This way, customers can search as broadly or narrowly as they like to find the best vehicle for their needs.
Fewer customers are visiting lots without knowing that their target vehicle is on-site. This means customers will want to qualify their target vehicle before they make a trip out for a test drive.
With AI-supported chat available day and night, you can engage with your customers and confirm inventory. Now, you don’t have to wait until morning to follow up — instead, customers have moved along the sales funnel and are ready to negotiate.
AI Can Anticipate Customer Needs with Precision
By creating precision segmentation based on known customer behaviors and industry data, your team can create something special. With each interaction, your AI system gets more data and can understand the caveats and exceptions along the buying journey.
Instead of reacting to your customers, your team can be predictive – and proactive. In a car dealership scenario, your team can tabulate customer types based on prior experiences. Now, you won’t have to rely on individual experiences or water cooler discussions to build a library of possibilities.
Just like an organization standardizing processes, your customer relationship management system can fully represent the range of client profiles. Sales associates can, and should, add data to enrich the quality of the dataset. Conversations, observations, and insights your sales team picks up can add necessary context to your new predictive model.
Sales leaders can extract data about what’s predicted to coach and inspire the team. Throughout the month, reports can be made to show how closely reality is tracking with the predictions. If you’re on target, press on, and if not, it’s time to course correct.
Your AI tool can offer potential scenarios, too. Model paths for future interactions before a sale is on the line to help improve your closing percentage. Just like you practice for a big game or study for an important test, modeling scenarios improves your success rate.
Customer Experiences Become More Personalized Across Industries – Changing the Status Quo
No one wants to feel like “just a number,” and AI tools can help companies make their customers feel important. It’s not about freebies and the total red carpet treatment here, although that can help. Personalizing the buying experience takes care, consideration, and good documentation about what’s known to be true.
First, align your experiences with your brand promise and voice to ensure consistency across channels. Your AI chatbot sets the tone and serves as a digital welcome mat for your clients. A well-trained chat agent ensures consistent and compliant responses and can even serve as a support tool for your team.
Next, align your in-storeexperience with the tone you set online by transferring knowledge from customer profiles to conversations. If your chat agent learned key insights, they’ll transfer them to your CMS for your sales team to leverage.
A client coming in to test drive a full-size SUV may have asked your chatbot about car seat anchors. Your team can anticipate that they’re shopping for a family vehicle and prepare a special experience ahead of time.
This might include stashing a few toys in the office for kids to play with while they’re visiting. Even better, an associate can offer a car seat installation demonstration using a similar model their customer might have. By translating chat data into a rich, in–person experience, you’ll be more likely to close the deal.
More Intelligent Customer Experiences Are Here
The art of winning customer experiences intersects with care and anticipating one’s needs. With AI-powered tools, your organization can more intelligently deliver customer experiences. Wait times are nonexistent, suggested products fit customer needs with precision, and follow-ups maintain engagement and build trust.
By super-powering your customer data, sales trends, and support capabilities with AI, your team can do more. At the intersection of technology and service, your sales team can focus their efforts on creating lifelong customers.
Photo by Blake Wisz: Unsplash
