Today’s online shoppers expect quick, efficient, and personalized experiences. Therefore, building and maintaining a top-notch customer experience (CX) is paramount.
Artificial intelligence (AI) is revolutionizing e-commerce, empowering direct-to-consumer brands to elevate their CX by automating inboxes, troubleshooting, categorizing tickets, and analyzing interactions. Those that have embraced AI are reaping the rewards.
When it comes to integrating AI into your CX, you might picture a daunting process. However, with sufficient preparation and the right vendor, it can go smoother than you expect.
Read on to learn how to fuse AI into your CX infrastructure and discover why Yuma AI is the ideal partner.
Step #1: Evaluate your current CX infrastructure
It’s important to first take inventory of what you have, so take a deep dive into your existing processes and tools. Be sure to:
- Audit your support channels: List every platform you use to interact with customers: email, live chat, phone, social, and otherwise. Assess how these channels are performing. Are some more popular than others among customers? Are some causing friction for your support team? This information will help inform where to automate.
- Review your systems: Review your systems and processes to identify workflows. Does your team rely on third-party apps like Recharge, Loop, or ShipBob for subscriptions, returns, and shipping? If so, your AI platform should also connect to these services. If you don’t yet have clear internal processes, you may want to start by defining those. Without well-structured instructions for each scenario you wish to automate, you won’t get the most out of your AI. So, define your processes and start by automating the most clearly defined ones.
- Scrutinize your workflows: How does your team typically handle customer complaints, queries, and feedback? Analyze these workflows from initial contact through resolution and keep an eye out for places where the process breaks down.
- Assess your team’s capabilities: Evaluate the strengths and weaknesses of your support team. Consider their skill sets and the volume of tickets they handle to identify gaps in experience and where it would be most beneficial to automate their workload.
Step #2: Single out areas for improvement
After you’ve taken stock of your existing CX infrastructure, you’ll be able to identify pain points and areas for optimization. Ask yourself questions like:
- Are customer wait times a major concern?
- Are my agents fielding repetitive questions?
- Do customer complaints follow similar patterns or arrive at common roadblocks?
- Could my team be doing more impactful work if we were to automate various processes?
- Is the quality of support my customers receive consistent from one representative to the next?
- Do I have adequate staff to handle surges in demand?
- Are we able to provide support to customers across the globe in their native language?
The answers to these questions will help you pin down where AI can make the greatest impact.
Step #3: Define specific, measurable objectives
Now that you’ve audited your systems and identified processes to automate, it’s time to set up actionable goals. These objectives should be specific and measurable. Examples might be along the lines of:
- Reduce the average customer wait time by 20% in three months: Shorter response times directly correlate to greater customer satisfaction. Knowing that, you might choose to automate responses to common queries via virtual assistant.
- Improve customer satisfaction by 30% over six months: AI can generate accurate, personalized responses, which in turn leads to happier shoppers. You might then compare your post-integration customer satisfaction scores to baseline.
- Increase customer engagement by 10% in two months: With tools at your disposal like automated follow-ups, behavior-based offers, and customer feedback, you might set a goal such as this to quantify growth in customer engagement.
- Improve peak-time efficiency by 15% in six months: With AI, you can automate routine tasks and optimize your customer service resource allocation with dynamic scheduling. This will free up your agents to handle more complex issues during busy times.
- Automate 50% of tickets in six months: You might set a goal to automate half of your customer service interactions in the first two quarters post-integration. Automating tasks like FAQs, troubleshooting, and ticket categorization can help free up your staff to handle more complex queries.
- Achieve 25% cost savings in 12 months: By effectively allocating human resources and automating routine tickets, you can put a significant dent in your operational costs.





