Green Procurement Platform for Waste Material Matching
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Solution Overview
Problem
Current green procurement systems lack the ability to efficiently search for and select waste materials based on end-use attributes such as cost, environmental impact, and geographic location, and fail to track and analyze the full environmental impact of transactions.
Innovation Solution
A system and method for green procurement that utilizes computing devices associated with buyers and sellers to receive desired material requests, generate relevant waste material listings, and track environmentally friendly transactions, thereby promoting the recycling of waste materials and saving virgin raw materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a distributed computerized shopping system scours the Internet to compile comparative product information, then consumers can access informed product pricing with few keystrokes, but the system cannot search for and select materials based on end-use attributes such as cost, environmental impact, and geographic location
Solution Approach 1:
The system segments the procurement process into distinct functional modules: a user interface for submitting material requests with end-use attributes, a processing engine for matching requests with waste material listings, and a database for storing transaction data and environmental metrics. This segmentation enables the system to handle complex material selection criteria while maintaining ease of operation.
Solution Approach 2:
The system introduces an intermediary processing layer between the consumer and the product information. This intermediary engine receives material requests, applies filtering criteria based on end-use attributes (cost, environmental impact, geographic location), and generates matched waste material listings. This mediator enables sophisticated material selection without requiring consumers to directly navigate complex databases.
2Loss of information
If a system tracks carbon footprint for each product, then carbon footprint determination and substitute item recommendations are provided, but the system fails to track, analyze, and report on other environmental metrics related to each transaction
Solution Approach 1:
The system implements a universal environmental tracking framework that handles multiple types of environmental metrics through a single integrated platform. The database structure is designed to store diverse environmental data including carbon footprint, waste reduction, energy savings, water conservation, and other sustainability metrics. This multi-functional approach enables comprehensive environmental impact assessment across all transaction types without requiring separate tracking systems for each metric.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously collect, analyze, and report environmental metrics from transactions. The platform generates reports on environmental performance, provides feedback to users about the environmental impact of their procurement decisions, and uses this data to improve matching algorithms. This feedback loop ensures comprehensive tracking and reporting of all environmental metrics while maintaining system adaptability.
3Loss of substance
If waste materials are recycled to save virgin raw materials, then landfill space is saved and emissions are decreased, but there is no system to efficiently connect waste material sellers with buyers seeking specific materials
Solution Approach 1:
The system enables self-service matching between waste material sellers and buyers. Sellers can submit waste material listings with detailed descriptions of material characteristics, and the system automatically matches these listings with buyer requests based on end-use attributes. This self-service approach eliminates the need for manual intermediaries and significantly improves waste material recycling efficiency by connecting supply and demand directly.
Solution Approach 2:
The system utilizes parameter-based matching to connect waste materials with appropriate applications. By allowing users to specify material parameters such as composition, physical properties, quantity, and geographic location, the system efficiently matches waste materials with buyers seeking specific materials for particular end uses. This parameter-driven approach maximizes waste material utilization and reduces virgin raw material consumption.
Data Source
AI summary
A system and method for green procurement is provided. In certain embodiments, the system may comprise a buyer computing device and a seller computing device. The buyer computing device may receive identity information associated with the buyer, receive a desired material request from the buyer, the desired material request defined by one or more material characteristics, display at least one waste material listing, and receive and transmit a waste material order from one or more of the at least one waste material listing. The seller computing device may receive identity information associated with the seller, generate a seller account based on the identity information, receive a waste material supply from the seller, generate one of the at least one waste material listing based on the waste material supply, and receive the waste material order from the buyer computing device.