Food Packaging Optimization for Delivery Quality

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Solution Overview

Problem

Current systems for food delivery and take-out lack efficiency in optimizing restaurant selection, order coordination, and packaging to ensure food arrives in an optimal state for consumption, while minimizing delays and aligning with customer preferences.

Innovation Solution

A cloud-based network system that includes an optimization server, portals for restaurants and customers, a rules library, and a food packaging optimization module to determine optimal packaging configurations based on customer preferences, menu offerings, and restaurant information, allowing for en-route business selection and optimized packaging for food delivery and take-out.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the driver searches for restaurants and places orders manually using mobile devices while en-route, then the customer can obtain food delivery service, but the process requires substantial concentration and coordination, increasing the time and complexity of the ordering process

Engineering Contradiction:

Improveease of orderingVSAvoidordering time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables automated restaurant selection and order placement based on customer preferences and route data. The computing device automatically searches for restaurants, compares menu items against preferences, selects optimal venues, and places orders without requiring driver intervention, making the system self-serve the ordering function

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-configures customer preferences, menu filters, and ordering parameters before the driver begins their route. Restaurant searches and menu comparisons are performed in advance, and orders are automatically placed when conditions are met, eliminating the need for real-time manual ordering during driving

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If the driver parks to search for restaurants and place orders, then the ordering process can be completed more carefully, but the driver wastes driving time to the destination

Engineering Contradiction:

Improveordering accuracyVSAvoiddriving time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The automated system performs restaurant selection and order placement without requiring the driver to park or manually search, maintaining ordering accuracy through systematic preference matching while eliminating the need to stop the vehicle

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces the manual mechanical process of parking, searching, and ordering with an automated computational process that uses algorithms to match customer preferences with restaurant menus and automatically places orders, substituting human action with automated software execution

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If food is packaged for delivery without optimization, then the packaging process is simple and quick, but the food arrives in a suboptimal state for consumption, affecting taste and quality

Engineering Contradiction:

Improvepackaging speedVSAvoidfood quality on arrival

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system determines optimal packaging configurations in advance based on the specific food items, customer preferences, and delivery conditions. Packaging instructions are prepared beforehand, allowing staff to efficiently assemble the correct packaging without compromising food quality

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system adjusts packaging parameters such as container type, insulation level, and compartmentalization based on the specific food items and delivery conditions. This optimization ensures that temperature, texture, and presentation are maintained appropriately for each food item throughout delivery

Inventive Principle:

Principle #35Parameter changes

4Productivity

If the system coordinates order pickup times and delivery routes to maximize efficiency, then delivery productivity increases, but the system complexity increases significantly

Engineering Contradiction:

Improvedelivery efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The optimization server performs multiple functions including route optimization, timing coordination, restaurant selection, and order management within a single integrated system. This multi-functionality consolidates what would otherwise require separate systems, managing complexity while achieving coordinated optimization

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11580485B2En-route business selection and ordering with optimized packaging for food delivery and take-out

Publication Date: 2023.02.14 ROCKSPOON INC

AI summary

A system and method for en-route business selection and ordering with optimized packaging for food delivery and takeout. The system is a cloud-based network containing an optimization server, portals for restaurants, customers, and drivers to enter their information, a rules library, a label manager, and a food packaging optimization module which determines optimal packaging groupings and configurations based on a multitude of variables associated with the restaurant, customer preferences, and the available menu. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.