Restaurants Embrace AI Phone Ordering as Maple and Quantic Expand Across Thousands of Locations

Restaurants Embrace AI Phone Ordering as Maple and Quantic Expand Across Thousands of Locations

Maple, a rapidly growing provider of voice-enabled artificial intelligence solutions for the restaurant industry, has entered into a strategic partnership with Quantic POS, a cloud-based point-of-sale platform serving restaurants and retail operators. The collaboration is designed to tackle one of the most persistent and costly challenges in the foodservice sector: missed phone calls and the resulting loss of revenue. By integrating Maple’s advanced Voice AI technology directly into Quantic’s POS ecosystem, the two companies aim to enable restaurants to automate phone ordering, improve operational efficiency, and capture sales opportunities that would otherwise slip through the cracks.

For many restaurant operators, managing incoming phone calls during peak service hours is an ongoing struggle. Staff are often overwhelmed with in-store customers, online orders, and kitchen coordination, leaving little bandwidth to answer ringing phones. Industry data suggests that restaurants miss anywhere between 21% and 43% of incoming calls during busy periods. This translates into significant financial losses, with individual locations potentially forfeiting between $100 and $600 per day in unrealized orders. Over time, these missed opportunities can add up to tens of thousands of dollars annually, making the problem both widespread and financially impactful.

Maple’s CEO and Founder, Aidan Chau, emphasized the urgency of this issue from the operator’s perspective. Restaurant owners, he noted, are caught in a difficult position: hiring dedicated staff to handle phone orders is often cost-prohibitive, yet failing to answer calls means losing valuable business. The integration between Maple and Quantic is intended to eliminate this trade-off. By embedding natural Voice AI directly into a restaurant’s existing POS system, operators can ensure that every call is answered, orders are accurately captured, and information flows seamlessly into the kitchen without adding complexity or additional hardware.

At the core of the partnership is a deeply integrated system that allows Maple’s AI-powered phone agent to function as an extension of the restaurant’s existing operations. Available 24/7, the AI agent can handle incoming calls at any time of day, including during peak rush periods, after hours, or when staff are otherwise occupied. Customers calling the restaurant can place orders, ask questions, or make requests just as they would with a human employee. The difference is that the AI system never misses a call and can process multiple interactions simultaneously.

One of the standout features of the integration is the automatic synchronization between Maple and Quantic POS. Orders taken over the phone by the AI are instantly transmitted to the POS system, where they appear on kitchen display screens or printed tickets alongside in-store and online orders. This eliminates the need for manual data entry, reduces the risk of errors, and ensures that kitchen workflows remain consistent and uninterrupted. Because the system operates within the restaurant’s existing infrastructure, there is no need for additional tablets, third-party devices, or complicated workarounds.

The integration also addresses a common pain point associated with many AI-based ordering systems: the time and effort required for setup. Traditional solutions often involve weeks of menu programming, configuration, and testing before they can be deployed effectively. In contrast, the Maple-Quantic partnership enables near-instant deployment. Maple’s system pulls live menu data directly from Quantic’s platform, including items, modifiers, pricing, and availability. This real-time synchronization ensures that the AI always has accurate and up-to-date information, allowing it to handle even complex orders involving customizations, dietary restrictions, or allergy considerations.

Payment processing is another area where the integration delivers significant value. Customers placing orders over the phone can complete their transactions באמצעות text-to-pay links integrated with Quantic’s payment system, or they can choose to pay in-store upon pickup. All transactions are processed through Quantic’s existing payment infrastructure, preserving merchant relationships and avoiding the complications that can arise from introducing external payment systems. This streamlined approach not only simplifies operations but also maintains financial continuity for restaurant operators.

The system is also designed with scalability in mind. Multi-location restaurant groups can deploy Maple’s AI solution across all their Quantic-powered locations simultaneously. Centralized menu management and unified reporting provide operators with a comprehensive view of performance across their entire portfolio, while still allowing for location-specific customization when needed. This flexibility makes the solution suitable for both independent restaurants and larger chains looking to standardize and optimize their operations.

Arnav Kaushik, Director of Software Engineering at Quantic, highlighted the broader significance of the partnership. He noted that Quantic has always prioritized the success of its merchants when evolving its platform, and the addition of AI-driven voice ordering capabilities represents a major step forward. By ensuring that restaurants no longer lose revenue due to unanswered calls, the integration directly contributes to improved profitability and customer satisfaction. Kaushik also expressed enthusiasm about the future of the collaboration, اشاره to the potential for developing additional innovative solutions together.

Beyond basic order-taking, Maple’s AI system offers a comprehensive suite of phone support capabilities. It can handle reservations, respond to catering inquiries, provide information about operating hours and directions, and answer frequently asked questions. This расширенный functionality transforms the phone line into a fully automated customer service channel, freeing up staff to focus on delivering high-quality in-person experiences.

The partnership is backed by strong market validation and growing adoption. Since its launch in December 2023, Maple has handled more than one million calls for restaurant clients, achieving a 92% resolution rate without human intervention. The company has quickly scaled its operations, now serving over 1,000 merchant locations nationwide and processing thousands of calls ყოველდღიურად. Its participation in Amazon’s AWS Generative AI Accelerator program further underscores its technological capabilities and industry recognition.

Restaurant operators who have adopted the system have reported overwhelmingly positive feedback. Many note that they are now capturing orders that would have previously been missed, while their staff can focus more effectively on in-store service. The system’s ability to handle complex interactions without requiring training or oversight has made it particularly appealing in an industry where labor shortages and high turnover rates are common challenges.

The Maple-Quantic integration is available immediately to all Quantic merchants across the United States. Restaurants can activate the service through their Quantic representatives, making it easy to get started without significant upfront investment or operational disruption. In addition, Quantic’s network of resellers and payment processors has the opportunity to offer Maple’s solution to their own portfolios, further expanding its reach within the industry.

As the restaurant sector continues to embrace digital transformation, solutions like the Maple-Quantic integration highlight the growing role of artificial intelligence in enhancing efficiency, improving customer experiences, and driving revenue growth. By addressing a fundamental operational challenge with a seamless, scalable, and easy-to-deploy solution, the partnership positions both companies at the forefront of innovation in the hospitality technology space.

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