Slang.ai, a leader in AI-powered phone automation for restaurants, announced the release of a comprehensive whitepaper designed to help restaurant operators evaluate the return on investment (ROI) of implementing voice AI technology. The research paper provides an easy-to-follow method for calculating how AI-driven phone automation can optimize operations by handling guest inquiries, booking reservations, and enhancing the overall guest experience.
Slang.ai’s ROI calculator comes amid growing labor shortages and rising operational costs in the restaurant industry, with operators increasingly turning to automation to fill the gap. Slang.ai’s solution, already in use by major players like OpenTable, helps restaurants streamline phone communications, freeing up staff to focus on delivering in-person guest service.
“Our new resource doesn’t just highlight the benefits of voice AI – but, it empowers restaurant operators with a clear, data-backed framework to calculate ROI,” said Alex Sambvani, founder and CEO, Slang.ai. “As AI solutions are still new for many operators, our goal is to remove the guesswork and provide them with actionable insights based on real data that make it easier to justify technology investments.”
Key findings from Slang.ai’s recent survey of restaurant operators show that over 60% of calls to restaurants go unanswered during peak hours, leading to missed reservations and revenue opportunities. By automating phone interactions, restaurants can increase booking rates, reduce operational strain, and boost staff productivity.
“This new resource highlights not only the immediate operational benefits of AI-driven phone automation but also provides a clear, data-backed framework to calculate ROI,” said Jennie Park, director of product marketing, Slang.ai. “We’re empowering restaurant leaders to make informed decisions that will positively impact their bottom line while delivering a seamless guest experience.”
With voice AI technology, restaurants can now effectively manage phone inquiries without stretching already thin labor resources. The whitepaper’s ROI framework helps operators assess how this technology can enhance their operations, improve productivity, and drive revenue growth.
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