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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Your Most Expensive Operational Gap: Missed Reservations in Multi-Location Restaurants
For multi-location restaurant groups, every reservation is more than a seat filled. Whether you operate a four-unit neighborhood favorite or a 200-unit regional brand, reservations are a predictable piece of revenue, a chance to optimize labor, an opportunity to build a customer relationship and a datapoint that keeps the whole operation running smoothly.
Balancing Customer Delight and Staff Satisfaction in Modern Restaurants
Success in today’s competitive restaurant industry requires more than great food. Customers expect fast, seamless and personalized service every time, whether they dine in or order takeout. At the same time, staff want to feel supported, valued and empowered instead of overworked and burned out. Striking this balance is both a challenge and an opportunity.
Best Practices for Voice AI Conversation Design: Scripts, SMS Consent and DTMF
Revmo's voice AI platform is designed to handle calls naturally, efficiently, and profitably, ensuring that businesses capture intent quickly and guide callers to the next best action.
Call Center Overflow: Causes, Costs, and How to Fix It
Call center overflow happens when incoming calls exceed what your team can answer — spikes, seasonal peaks, after-hours. What causes it, what it costs, and how AI voice agents fix it.
Choosing Conversational AI for Multi-Location Businesses: A Buyer’s Guide
This buyer’s guide is designed to make choosing AI customer service solutions clearer, more strategic and far less risky. It breaks down what multi-location operators truly need, provides a rigorous conversational AI platform comparison and outlines the financial, technical and scalability considerations that separate vendors that can support five locations from those built for 50 or 500.
Conversational AI: A Home Run for the Home Services Industry
The home services industry, projected to reach $1219.07 billion in the U.S. by 2026, faces challenges in client acquisition due to intense competition. Companies are increasingly adopting conversational AI to enhance customer interactions and streamline operations.
Conversational AI for Automotive Services: Driving Operational Efficiency and Enhanced Customer Service
Conversational AI utilizes machine learning and Natural Language Processing (NLP) techniques to understand human speech patterns and imitate human conversations. It improves operational efficiency and delivers higher levels of customer service in the automotive sector.
Data-Driven Automotive Design: How AI Is Revolutionizing Vehicle Development
A century ago, automotive design was guided by artistry and mechanical intuition. Design is now driven by data, computation, and connected intelligence, enabling simulations, analysis, and optimization of every vehicle component. AI is at the center, enhancing design, manufacturing, and operations in the automotive industry, leading to safer and more efficient vehicles.
Designing Hybrid Call Flows: When Voice AI Should Escalate to Humans
Artificial intelligence (AI) has come a long way since computer scientist John McCarthy first introduced the concept in his 1956 Dartmouth summer research project. The technology has undergone numerous iterations since then and now can automate up to 80% of routine tasks. This article discusses the importance of well-designed escalation from AI voice agents to human agents to maintain customer satisfaction and ensure complex issues are handled appropriately.
Your Tool for Eliminating the Front-of-House Staffing Squeeze: AI for Restaurants
Restaurants across the United States are experiencing the pressure of an industry-wide labor shortage. More than 80% of restaurants report being short at least one position, and 33% face moderate or extreme labor challenges.
How AI Agents Are Transforming Restaurants: Real Case Studies and Results
The restaurant industry is at a turning point, with customers expecting seamless service. AI agents are changing this landscape by automating routine tasks, improving reservation management, and enhancing customer experiences, all while allowing restaurant staff to focus on higher-value interactions.
AI for Restaurants: How to Stop No-Shows with Tech Solutions That Actually Work
No-shows are more than just a frustrating inconvenience. They’re a quiet drain on restaurant profitability. AI solutions can help restaurants operate with less money spent on wasted resources.
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