POS Waitlist Generation Synchronized with Kitchen Display System Data
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Solution Overview
Problem
Current point-of-sale (POS) devices generate inaccurate waitlists due to reliance solely on front of the house data, which does not account for variations in table occupancy, order complexity, and preparation times, leading to inconsistent wait time estimates.
Innovation Solution
Synchronizing POS devices with kitchen display systems to integrate both front of the house and back of the house data, allowing for real-time updates and more accurate waitlist calculations by considering factors like order progress and preparation times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If POS device uses only front of house data to generate waitlists, then device complexity is reduced, but measurement precision of wait time estimates deteriorates
Solution Approach 1:
The patent merges front of house data from POS devices with back of house data from kitchen display systems to create a comprehensive waitlist generation system. This combination integrates multiple data sources (table occupancy, order complexity, preparation times) that individually provide incomplete information, thereby improving measurement precision without excessive complexity increase through systematic integration.
Solution Approach 2:
The system implements a universal data integration framework that handles multiple types of data (front of house transaction data, back of house preparation data, table occupancy status) through a single integrated architecture. This multi-functional approach allows the system to process diverse data sources uniformly, improving accuracy while managing complexity through standardized interfaces.
2Measurement precision
If POS device integrates back of the house data from kitchen display system, then measurement precision of waitlists is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary data integration layer that mediates between the POS device and kitchen display system. This intermediary component standardizes data exchange protocols, transforms heterogeneous data formats into a unified structure, and manages synchronization logic, thereby improving measurement precision while containing complexity growth through modular architecture.
3Speed
If POS device calculates waitlists using average turn times only, then calculation speed is improved, but reliability of waitlist accuracy deteriorates
Solution Approach 1:
The patent transitions from static average turn time calculations to dynamic waitlist generation that continuously updates based on real-time data. The system adapts calculation parameters dynamically, incorporating current table occupancy, active order complexity, and real-time preparation status from the kitchen display system, thereby improving reliability while maintaining computational efficiency through optimized algorithms.
Solution Approach 2:
The system implements feedback loops where kitchen display system data on actual preparation times and order completion status feeds back into the waitlist calculation engine. This feedback mechanism allows the system to continuously refine accuracy by comparing predicted versus actual turn times and adjusting calculations accordingly, improving reliability without sacrificing speed through iterative optimization.
Data Source
AI summary
Techniques and arrangements for synchronizing kitchen display system functionality with point-of-sale (POS) waitlist generation. In some examples, a POS device generates a waitlist using both front of the house data (e.g., data associated the POS device) and back of the house data (e.g., data associated with the kitchen display system). For instance, the POS device can receive input associated with transactions between a merchant and customers. The POS device can then generate a waitlist based on the input. Additionally, the POS device can receive data associated with order tickets from the kitchen display system. Based on receiving the data, the POS device can update the waitlist using the data. In some examples, the POS device updates the waitlist by determining a state associated with each of the transactions, and the updating wait times for the transactions based on the states.