The Problem
One of India’s leading recyclers had the scale. They had the demand. But they were struggling with achieving the desired level of PPM.
Despite following all the standard processes, their recycled output often failed to meet the required PPM threshold. This created bottlenecks in delivery, lost opportunities with premium buyers, and growing pressure to rethink their approach.
The issue wasn’t just about contamination — it was about how they were sorting and processing.
Their line was heavily dependent on manual checks and conventional sorting logic. It worked… but only up to a point.
They were processing everything the same way, regardless of material condition or recyclability level. And in doing so, they were spending time, effort, and resources where it wasn’t needed — and missing precision where it mattered.
The Ishitva Intervention
Partnering with Ishitva, the team implemented a fully automated, AI-based sorting system.
This solution brought a fundamental shift:
- It scanned every item visually, in real time
- It recognized material types and conditions with deep learning algorithms
- It automatically routed material based on quality and recyclability
No manual guesswork. No unnecessary steps. Just intelligent, optimized sorting.
The Results: PPM Under Control
With AI in place, the plant saw a transformation:
- Consistent output within the desired PPM range
- Reduced reprocessing time and cost
- Higher throughput with fewer quality issues
- Increased market value of final product
- New contracts from premium clients
- What once felt like chasing a moving target became a repeatable, reliable process.