eWaste

eWaste turns waste disposal into a measurable, accountable and sustainable process. It helps
cleaning operations by automatically recording the weight and type of waste, and the registration of real-time data helps supervisors understand the amount of waste generated and any patterns and areas for improvement.

With EF’s move towards proactive instead of reactive systems, AI integration to eWaste will be made and implemented towards the 4th quarter of 2026. 
How AI goes from just detecting issues surfaced in iSnapReport to prioritising issues based on defect types

AI implementation in the eWaste system could allow for the highlighting of user department or locations that generate the highest volume of general waste and lowest volume of recycled waste – thereby allowing for a measurable means of tracking
ESG optimisation. Along with anomaly alerts detection and trend prediction.

The system cuts down 1 full step in the waste management process where past users would have to manually record down the weight of the waste into a physical log.

Smart waste management goes beyond simply tracking when bins need emptying. The system creates a continuous, granular record of waste generation — turning what was previously an invisible operational cost into a measurable, manageable data stream. The data provides an auditable trail of waste output by category. This supports regulatory reporting, waste contractor verification (ensuring you’re billed accurately for what was actually collected), and sustainability commitments such as landfill diversion targets or carbon reporting obligations
eWaste helps to simplify the manual logging of waste disposed while drawing on the leverages of stored data a means of records, and data analysing.
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