Waste Generation Forecasting

Waste Generation Forecasting uses AI to perform forecasting of waste volumes by stream, site, and production period from production schedules, material inputs, and historical waste generation data, enabling better contractor planning and diversion target management, by projecting waste quantities and mix across collection windows, across waste operations and circularity planning workflows.

Waste operations and sustainability teams plan contractor collections and diversion targets based on historical averages without accounting for production changes, material mix shifts, or seasonal patterns. Underestimates create capacity shortfalls; overestimates drive unnecessary collections and cost.

The AI performs forecasting on production schedules, material inputs, and historical waste generation data and produces waste volume and mix projections by stream, site, and period. The output is reviewed inside waste operations and circularity planning workflows.

The primary metric is waste diversion rate against target; the target direction is higher diversion and lower collection cost per tonne.

• •Historical waste generation records by stream, site, production volume, and material type are available.
• •Waste management or ERP systems can consume volume and mix forecasts for contractor scheduling.
• •Waste stream taxonomy and diversion targets are defined for each site and collection type.