Analytic Server Aggregating Multi-Platform Food Delivery Orders
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Solution Overview
Problem
Restaurants face inefficiencies and high costs due to the need to manage multiple hardware devices from different food delivery platforms, which receive electronic requests in incompatible data formats, leading to difficulties in processing a high volume of orders.
Innovation Solution
An analytic server aggregates electronic requests from various platforms, extracts order data, and generates a machine-readable file that is transmitted to a merchant device, allowing all orders to be displayed in a single graphical user interface, reducing the need for multiple hardware devices and enabling efficient order management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple hardware devices are used to receive electronic requests from different platforms, then the restaurant can support multiple service providers, but the device complexity and management difficulty increase significantly
Solution Approach 1:
The patent implements a universal receiving device that can handle electronic requests from multiple different platforms through software configuration rather than requiring separate hardware for each platform. The system uses a single device with adaptable software that can process various data formats and communication protocols, making the hardware multi-functional and eliminating the need for multiple specialized devices
Solution Approach 2:
The patent introduces a middleware layer or adapter software that acts as an intermediary between different service provider platforms and the restaurant's internal system. This intermediary handles data format conversion and protocol adaptation, allowing a single hardware device to communicate with multiple different platforms without requiring the restaurant to own and manage multiple platform-specific devices
2Productivity
If multiple platform-specific hardware devices are deployed, then all electronic requests can be received, but the cost and resource waste increase
Solution Approach 1:
The patent merges the functionality of multiple platform-specific receiving devices into a single universal device. By combining the capabilities of what would have been separate hardware units into one consolidated system, the restaurant reduces the total quantity of hardware while maintaining the ability to receive and process orders from all service providers
Solution Approach 2:
The universal receiving device is designed to perform multiple functions by supporting different platforms through software configuration. This multi-functional approach replaces what would traditionally require multiple single-function devices, reducing hardware quantity while preserving full order processing capability across all service providers
3Adaptability or versatility
If different data formats are used by different platforms, then each platform can operate independently, but the server must acquire specific software and hardware devices for each format
Solution Approach 1:
The patent employs an intermediary software layer that sits between the various platform data formats and the restaurant's internal system. This intermediary automatically performs format conversion and data normalization, allowing the system to accept independent platform formats while presenting a unified interface internally, thereby eliminating the need for multiple platform-specific software configurations
Solution Approach 2:
The system dynamically changes data format parameters based on the incoming platform type. Rather than requiring separate software for each format, the system detects the source platform and automatically adjusts its data processing parameters to handle the appropriate format, enabling flexible adaptation without increasing software complexity
Data Source
AI summary
Disclosed herein are embodiments of systems, methods, and products comprises an analytic server for aggregating and displaying all the electronic requests on one merchant device. The analytic server receives a plurality of electronic messages corresponding to a plurality of electronic requests from a plurality of service provider computers. The analytic server executes an extraction protocol to extract the order data within each electronic messages and stores the extracted data into a database. The analytic server generates a machine-readable file for each merchant comprising all the order records for the same merchant received from different third-party service provider computers. The analytic server transmits the machine-readable file to the merchant computing device, which populates a GUI according to the machine-readable file. Because all the orders are in one spot, the merchant may manage the orders, perform statistical calculations, and generate sales reports more efficiently.