AI for Retail: How Agents reduce support tickets by 60%

A surge in e-commerce business is a good thing, right?

But if your ticketing infrastructure can’t keep up, that sudden increase can lead to lower customer satisfaction and lost repeat business.

For Drake Waterfowl, customer satisfaction was dropping due to longer response times, inefficient return processes, and limited availability. Customers expected fast answers, quick returns, and 24/7 support.

‍Bring multiple tools together and reduce tickets with an AI agent

‍Drake’s challenges were largely due to having multiple ecommerce technologies that didn’t work well together. On top of improving customer satisfaction, they needed a way to integrate their tools together and build a more efficient customer support machine.

‍Voiceflow + Streamline Connector

‍In this virtual event, you’ll learn how Drake Waterfowl found a partner in Parkfield Commerce that could integrate their systems together, using an AI agent built with Voiceflow to consolidate customer returns in one place.

You’ll learn:

• Best practices and examples for integrating an AI agent with Shopify, Klaviyo, Loop, Gorgias, and Recharge
• Step-by-step approach to training an AI agent that can resolve 60% or more of your chat inquiries
• How to evaluate your current tech stack for efficiencies and identify the right place to start with AI