If we can identify the origin of each plastic bottle waste, we can assign a unique ID to it.
Matching all plastic bottle waste collected to where they are disposed, it can help those corporations producing, distributing, or disposing of plastic bottle waste to achieve their ESG goals and get resources to reward those involving recycling of waste plastic bottles.
Start with a narrow matching scheme, using a membership scheme, drinks purchased from dedicated vending machines can be rewarded with disposing of plastic bottle waste to the dedicated reverse vending machines.
The matching can be specific with information such as the barcode on bottles, member ID, location of vending machine, location of reverse vending machine, and dates.
However, with no vending machines, identifying the source of plastic bottle waste is difficult. We can only use a wide matching method. The system will assign the best possible attributes to the bottles.
We employ the Nobel prize-winning Gale-Shapley Algorithm, a well-known algorithm in the field of matching theory and game theory.
The matching result will improve with the following:
More narrow matching with precise information
More participants in recycling using the membership system
More participation of the bottlers, the manufacturers, and the distributors
More data over time