Author
David Stoll
Sales Engineer
David Stoll is a Sales Engineer with Revmo AI. With over 6 years of experience in Conversational AI, David is an expert in crafting conversations for brands that engage their users and push revenue forward.
Articles by David Stoll
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AI That Resolves “Where Is My Order?” Calls and Remembers Every Shopper
To reduce WISMO calls, an AI voice agent answers “Where is my order?” the moment it comes in, pulls the live order and shipping status, and gives an accurate update with no hold and no agent tied up. Because it remembers the shopper and their order history, it resolves the follow-ons and escalates only true exceptions to your team.
How AI Handles Tier 1 Calls (and When It Shouldn’t)
Key Takeaways Tier 1 calls are the ideal starting point for AI. Routine requests like password resets, order tracking, and account setup don’t need a human agent. AI resolves tier
AI IVR vs. Traditional IVR: The Difference Between Routing and Resolving
AI IVR understands natural speech and completes calls; traditional IVR routes callers through menus. A side-by-side comparison, the real switching pitfalls, and how to decide.
5 Ways to Earn More 5-Star Reviews
Explore five no-fail strategies to help you earn more 5-star reviews and elevate your restaurant’s reputation to Michelin-worthy status.
AI for Restaurants: Affordable After-Hours Answering and Customer Support
In the restaurant business, service doesn’t stop when your staff clocks out and your doors close. After-hours phone calls are an ongoing source of missed revenue and frustrated customers. AI for restaurants offers an affordable solution that’s available 24/7, allowing reliable customer support at any time.
Agentic AI Leaders and Vendors in Automotive: Who’s Actually Delivering?
The automotive industry is entering a transformative decade with electric powertrains, digital retailing, and connected vehicles reshaping the sector. A new class of technology called 'agentic AI' is emerging, capable of reasoning about goals and adapting on the fly, redefining the automotive landscape.
Agentic AI vs. Conversational AI: What’s the Difference?
Conversational AI understands language and holds a natural back-and-forth. Agentic AI goes further: it acts, completing the task end to end with guardrails and human oversight. In short, conversational AI can talk about your order, while agentic AI can update it.
AI Agent Connected Cars: The Next Frontier in Automotive Intelligence
For decades, vehicles have grown incrementally smarter, first with electronic control units, then infotainment systems, then internet connectivity. The next evolution isn’t just smarter sensors or dashboards, though. It’s about vehicles that can think, reason and act. Modern vehicles are now equipped with advanced artificial intelligence (AI)-driven systems that enhance safety, autonomy and user interaction, integrating intelligent perception, decision-making and connectivity technologies.
From Clicks to Customers: The Rise of AI for Automotive Marketing
Advanced technologies, such as generative artificial intelligence and generative AI, are transforming automotive marketing by enhancing efficiency, innovation and customer experience through applications like predictive maintenance, virtual assistants and advanced design platforms.
AI Call Agents for Restaurants: How They Are Transforming the Industry
The restaurant industry is undergoing a massive shift due to rising labor costs, staffing shortages, and evolving customer expectations. AI call agents are revolutionizing this landscape by providing personalized, efficient phone interactions with minimal human oversight.
Revolutionizing Automotive CX with AI-Powered Customer Support
The automotive customer journey has never been more complex or consequential. Shoppers begin with weeks of online research, search across marketplaces and original equipment manufacturer (OEM) sites and expect instant answers on inventory, pricing and financing.
AI-Driven Customer Service: Scale Fast, Stay Consistent Across Locations
Growing from a handful of sites to a regional or national footprint is when customer service becomes a make-or-break factor. When scaling customer service across multiple locations, it’s crucial to build an architecture that preserves customer service consistency while allowing each new location to open faster, more cost-effectively, and with a local flair.
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