IoT Perishable Item Selection by Freshness Data
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Solution Overview
Problem
Consumers often purchase perishable items based on their expiration dates, but vendors may not always be able to keep items fresh, and consumers may not have the opportunity to buy them at the optimal stage of development, affecting flavor and freshness, especially for food preparers who want specific maturity stages for vegetables and fruits.
Innovation Solution
A system utilizing Internet of Things (IoT) devices for monitoring and selecting perishable items based on consumer preferences, including registration, data collection, and matching items with optimal freshness data, allowing consumers to purchase items during their optimal development stage through an online shopping portal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consumers purchase perishable items based on expiration dates, then they can ensure items are not spoiled, but they may not buy items at the optimal stage of development affecting flavor and freshness
Solution Approach 1:
The system performs preliminary monitoring of perishable items during their growth and harvesting stages using IoT devices, recording freshness data before the items reach consumers. This allows the system to prepare and match items with consumer preferences in advance, enabling purchase at optimal maturity stages rather than relying on expiration dates alone.
Solution Approach 2:
The system continuously collects freshness data from IoT devices monitoring perishable items and provides real-time feedback to consumers through the online shopping portal. This feedback loop allows consumers to see actual freshness status and make informed decisions about purchasing at optimal stages, resolving the contradiction between reliability and precision.
2Reliability
If vendors keep items fresh using traditional storage, then items remain safe to consume, but consumers do not have the opportunity to buy items during the right stage of development
Solution Approach 1:
The system monitors and prepares perishable items during their growth and harvesting phases, establishing freshness data before consumers make purchasing decisions. This preliminary action enables consumers to buy items at specific optimal stages rather than being limited by traditional storage and expiration date systems.
Solution Approach 2:
The system dynamically adjusts the availability and presentation of perishable items based on real-time freshness data and consumer preferences. Items are made available for purchase at optimal stages rather than being held until expiration, providing dynamic adaptability in purchase timing while maintaining safety through continuous freshness monitoring.
3Adaptability or versatility
If the system monitors and tracks freshness data for all perishable items, then consumers can select items at optimal stages, but the system complexity increases
Solution Approach 1:
The system uses universal IoT devices that can monitor multiple types of perishable items with various freshness parameters through a single integrated platform. This multi-functional approach enables comprehensive freshness tracking across different items without proportionally increasing system complexity, as the same monitoring infrastructure serves multiple purposes.
Solution Approach 2:
The system creates digital copies of physical perishable items through data recording and virtual representation in the online shopping portal. Instead of physically handling each item during selection, the system uses digital copies of freshness data to enable consumers to make informed purchasing decisions, reducing the complexity of physical monitoring and handling.
Data Source
AI summary
A computer implemented method for analysis and tracking perishable items for selection of perishable items using IOT devices that includes registering a consumer to a system that assists the selection of perishable items using IOT devices based upon consumer preferences, in which the system collects data from the user, wherein the user can revoke permission to the system at any time; and monitoring harvesting of a plurality of perishable item types using a plurality of internet of things (IOT) devices. The method may further include recording a consumer profile on the system that assists in the selection of perishable items from the consumer including consumer preferences for freshness of perishable items. The method may further include matching perishable items having freshness data from monitoring the harvest to the consumer based upon consumer preferences from the consumer profile.