TRAY and Maple launched a joint integration bringing 24/7 AI phone ordering to multi-unit restaurant brands running on TRAY's POS platform. The restaurant AI phone ordering systems connect directly to TRAY's menu data, including items, modifiers, pricing and availability, and deploy in minutes, with orders landing instantly in kitchen display systems and receipt printers.
More than 40% of restaurant calls go unanswered during peak hours, costing a single location over $30,000 in lost phone orders annually. Since launching in December 2023, Maple has answered more than one million restaurant calls, resolving 96% without human intervention.
As multi-unit restaurant operators look for scalable solutions to front-of-house staffing gaps, TRAY and Maple show how integrating voice AI directly into an enterprise POS can capture missed revenue.
Image Credit: TRAY/Maple
What's Driving This Trend
- Voice AI Phone Ordering
- Widespread deployment of conversational voice systems that handle entire order flows presents the potential to recover millions in previously lost phone revenue by automating peak-hour call volume.
- Pos-native AI Integrations
- Embedding AI directly into point-of-sale data streams enables real-time synchronization of menus, modifiers and availability, creating opportunities for seamless end-to-end order accuracy and reduced operational friction.
- Autonomous Call Handling
- High-resolution intent recognition and self-service resolution rates above 90% point to a shift where human staff are increasingly reserved for exceptions while routine interactions are fully automated.
Who This Affects Most
- Multi-unit Restaurants
- Large restaurant chains stand to transform front-of-house economics as scalable AI ordering reduces dependence on shift staffing and captures missed revenue from unanswered calls.
- Point-of-sale Software
- POS vendors can evolve into platform orchestrators by offering native AI modules that tightly couple commerce data with customer-facing automation, redefining value propositions to operators.
- Customer Contact Centers
- Contact center providers could see their role shift toward supervising hybrid AI-human workflows as automated systems resolve routine inquiries and escalate only complex cases.
