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Why waste intelligence is an operational necessity in 2025

Since launching this report, waste intelligence technology has been adopted at recovery facilities around the world. In 2025, it’s becoming a survival tool.

This year’s edition features brand new case studies from global recovery facilities, takeaways from a landmark study on recyclable plastic, and a look at the current state of dynamic control.

Download the guide

Discover data from real recovery facilities, including:

+/- 10%

fluctuations in material purity – on a single PET line, in a single day.

£1.6 million

worth of valuable material lost to residue lines at one British PRF – every year.

28%

of one MRF's residue stream was made up of valuable, easily recoverable material.

What you'll learn:

How to apply AI to individual waste streams, entire recovery facility operations, and group-level strategy.
How the cost and accuracy of AI-powered continuous monitoring compare to manual spot sampling.
What real-world recovery facilities have learned from automated waste analysis.
What the industry’s leading innovators think about the future of AI waste analytics, automated compliance, dynamic control and more.

New for 2025:

New case studies from recovery facilities in the UK, EU and USA.
Insights from a landmark report on food-grade plastic recycling.
Updated perspectives on packaging policy and the waste sector’s economic headwinds.

Get the full guide, for free

More data and expert insight, delivered to your inbox.

"Previously, quality issues were flagged after things were baled and inspected, or from a customer complaint. We have an opportunity now to see that live on the line, and make corrections upstream in the plant, so we’re producing better quality, quicker."

Conor McCooey

Chief Information Officer at ReGen Waste

"The future is clear: to further increase recycling rates, we need more insight and collaboration across the value chain.

AI can power fact-based and automated decision-making, providing recovery facilities with a much more accurate overview of their waste composition, and ultimately maximising their ROI."

Edmund Tenfelde

CEO at Bollegraaf

"For us, adopting AI waste analytics was a way to get more process control. With continuous data on our material, I can maximise yields by tweaking processes in response: a little more airflow in our drum separator, or a bit of adjustment on the near-infrared system."

Karin Wolters

Process Engineer at Omrin

Let’s connect

We believe in the power of combined expertise. Whether you want to create a connected facility or build AI into your sorting machinery or software, we’d love to help.