Artificial Intelligence can help bridge the data gap by modelling waste flows and designing cost-efficient and scalable waste logistics systems.

The data-driven planning will transform our supply chains to thrive in circular economies.

High costs of waste logistics and lack of waste management infrastructure in many areas on our planet significantly limit the supply of recycled materials.

Material suppliers and their waste collectors are facing two major logistics problems:

Fragmented and poor quality waste data is the main complication for the waste industry and sustainable manufacturers when planning the logistics of their waste commodity.

Master-planning public waste collection in Singapore

Cardboard packages collection planning in Hong Kong

Plastic waste mapping in Hong Kong

Planning e-waste collection in Singapore