AI-Driven Consumables Dispensing System for Food Safety and Waste Reduction

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Solution Overview

Problem

Current dispensing systems for bulk consumable goods face challenges such as contamination risks, inefficient inventory management, and out-of-stock issues, which affect food safety and consumer satisfaction, while also contributing to environmental concerns due to excessive packaging.

Innovation Solution

A smart electro-mechanical storage, proportioning, and dispensing system that uses real-time inventory monitoring and control, AI-driven inventory management, and point-of-sale integration to ensure accurate tracking and dispensing of products, reducing waste and contamination risks, and allowing for precise portioning and payment processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If bulk goods are stored in open bins with hinged doors or open mouths for consumer access, then consumers can easily select and package desired quantities, but the risk of food contamination increases due to direct consumer contact and inability to prevent product return

Engineering Contradiction:
ImproveConsumer access to bulk goodsVSAvoidFood contamination risk
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent introduces an automated dispensing machine as an intermediary between the bulk goods storage and consumer access. The machine contains sealed hoppers that store bulk goods, and consumers interact with the machine through controls to receive dispensed portions. This intermediary system eliminates direct consumer contact with the bulk storage, preventing contamination while maintaining ease of access through automated portion dispensing.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If automated electro-mechanical dispensing systems are implemented to precisely portion and dispense bulk goods, then food safety and inventory control are improved, but device complexity increases

Engineering Contradiction:
ImproveFood safety and inventory controlVSAvoidElectro-mechanical system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The dispensing machine is designed as a multi-functional system that combines bulk goods storage in sealed hoppers, automated portion portioning through controlled dispensing mechanisms, inventory tracking, and consumer interface capabilities. By integrating these multiple functions into a single universal device, the system achieves improved food safety and inventory control without requiring separate complex systems for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If traditional prepackaging of consumable goods is used, then product protection and shelf stability are maintained, but environmental waste increases due to excessive packaging materials

Engineering Contradiction:
ImproveProduct protection and shelf stabilityVSAvoidPackaging waste
Core Design Contradiction:
ReliabilityVSLoss of substance

Solution Approach 1:

The patent extracts the packaging function from the distribution system by implementing bulk dispensing without traditional packaging. Instead of pre-packaging goods in individual containers, the system stores goods in bulk in sealed hoppers and dispenses them directly to consumers in their own containers or reusable packaging. This extraction of the packaging step eliminates the need for multiple individual packages while maintaining product protection through controlled dispensing environments.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS10783507B1Consumables dispensing system and method
Publication Date: 2020.09.22 SPELLBOUND DEVELOPMENT GROUP INC
  • US10783507B1 patent drawing
  • US10783507B1 patent drawing
  • US10783507B1 patent drawing

AI summary

A system, server, and method are described. In an example, the server includes a distribution management instruction set that, when executed by a processor, monitor inventory levels of bulk consumable goods for dispensing systems at a plurality of different distribution locations. The server is also described to include one or more Artificial Intelligent (AI) models that operate in cooperation with the distribution management instruction set to enable the distribution management instruction set to predictively deploy physical distribution assets and to predictively ship bulk consumable goods to the plurality of different distribution locations based on the inventory levels of the bulk consumable goods monitored by the distribution management instruction set.