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Through B2B and B2C models, companies can develop digital platform for waste management system that use data analytics and digital technology to increase efficiency in waste segregation, collection, transportation, and recycling.
This IOA will help reduce cost of waste management for businesses and municipalities help encourage more waste segregation and recycling for households and help the planet by reducing marine plastic pollution and air pollution from open burning. Investors can invest money in the companies that develop the waste management system and platform. Examples of companies active in this space are:
G.E.P.P. SA-ARD Co.,Ltd (GEPP) is a start-up, established in 2017 that provides a waste data management system for businesses via an online platform. The platform provides valuable insight into the quantity of waste generated and recycled, breakdown by types, revenue, and GHG emission reduction. GEPP also provides waste collection services that utilize networks of informal waste collectors. GEPP has created USD 11,300 (THB 338,000) revenue for stakeholders in 2020, and reduced 642 tons of waste (1).
Koomkah application, developed by SCG Chemical in 2020, provides waste management solutions for waste bank businesses. Benefits include better planning, more efficient database, and a connection to networks of waste management facilities (8).
"ซาเล้ง.com" (Sa-Leng: Tricycle in Thai) is an online platform and application. It was an initiative idea during 2017, it was launched the service officially in 2020. Users can call on the network of informal trash collectors to pick-up recyclable waste or unwanted items at the specified location, in Bangkok. Users are incentivized by the platform own's digital currency (14).
Trash Lucky is an online platform, started in 2019 where individuals can send in their recyclable wastes to win lottery rewards. Trash Lucky was recyclable more than 5,000 kilograms after 8 months of service (19).
This IOA helps reduce pollution and improve efficiency of waste management and recycling by enabling better data management and economies of scale.