Wireless Voice Engine for Kitchen Cooking Optimization
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Solution Overview
Problem
Quick Service Restaurants face challenges in efficiently determining which products to cook and when, due to various dynamic factors such as customer demand, cook times, and product hold times, leading to suboptimal speed of delivery, quality control, and waste management.
Innovation Solution
The implementation of a Wireless Active Voice Engine (WAVE) system that uses artificial intelligence and linear programming to optimize cooking decisions by delivering real-time verbal instructions to kitchen staff via wireless headsets, ensuring timely acknowledgment and action on directives, and adjusting batch sizes based on demand and product hold times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time voice instructions are delivered to kitchen staff via wireless headsets, then the speed of delivery and responsiveness to customer demand is improved, but the device complexity and system infrastructure requirements increase
Solution Approach 1:
The patent replaces traditional mechanical communication systems (physical kitchen displays, written orders, manual communication) with an electronic wireless voice communication system. The WAVE system uses wireless headsets to deliver real-time voice instructions directly to kitchen staff, substituting the mechanical/physical communication infrastructure with an electronic digital communication system that provides faster information delivery and real-time updates on customer demand and cooking priorities.
2Manufacturing precision
If artificial intelligence and linear programming are used to optimize cooking decisions, then the manufacturing precision and quality control are improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent applies parameter changes by using AI and linear programming to dynamically optimize cooking parameters such as batch sizes, cooking sequences, and ingredient preparation quantities. The system analyzes multiple variables including customer demand forecasts, current inventory levels, cook times, and product hold times to determine optimal cooking decisions. This transforms static, experience-based cooking parameters into dynamic, data-driven parameters that automatically adjust to changing conditions, improving quality control and reducing waste through precise optimization.
3Reliability
If the system expects acknowledgment from users for each instruction, then the reliability of directive execution is improved, but the productivity and workflow speed may be reduced
Solution Approach 1:
The patent implements a feedback mechanism where the WAVE system requires acknowledgment from kitchen staff for each voice instruction received. When an instruction is delivered via wireless headset, the system waits for confirmation that the staff member has received and understood the directive before proceeding to the next instruction. This feedback loop ensures reliable execution of cooking tasks and prevents loss of instructions, while the system manages the feedback timing to minimize disruption to workflow speed and maintain productivity.
Data Source
AI summary
The disclosed technology provides computer-to-wireless-voice integration methods and systems. In some implementations, the methods and systems deliver real-time voice instructions to users of required time-sensitive actions and ensure that such directives are received and a recipient effectively acts on the directives. The systems and methods include receiving a notification of an event from a terminal in a wireless active voice engine (WAVE) system, determining an active voice directive corresponding to the event with a WAVE module, converting the active voice directive into a voice event via a directive converter, and notifying a targeted recipient of the active voice directive corresponding to the event with a communications module. In some implementations, the systems and methods include sending a confirmation event via the receiver to the communications module that the active voice directive was received by the targeted recipient and communicating the active voice directive has been completed.


