Case study, sorting facility for separately collected recyclables

Objective data for a better dialogue

How SPL Allier Tri obtained continuous and independent data on its waste streams, to prepare the renewal of its operating contract.

Jackie Renaud, Managing Director, SPL Allier Tri

20,000 tannual capacity
7 t/hsorting rate
350,000residents served
5shareholder local authorities
2019opened, Chézy (Allier)

The context

Preparing a tender on a solid basis

The two Greyparrot analysers and their router, fixed to a green frame above a conveyor at the Chézy sorting facility
Analyser positioned on the process residue line.

After nearly seven years of operation, Allier Tri is preparing the renewal of its contract. Before launching the tender, the SPL wants to know the real waste stream over the whole year: its seasonality, its variations and how the process actually performs.

The manual characterisations provided for in the contract do not allow this. They cover less than 10 t a year, out of 20,000 t processed: a sample that may already be biased. The SPL also wants to check a common assertion that the waste stream changes a lot.

Finally, there is an investment question. Unlike other sites, no sorter is assigned to the residue belt. Should an extraction tool be planned, or should the residues go through the cabin?

In the context of a tender, one requirement stands out: the data must be independent of the current operator.

The system

Two measurement points, independent data

The SPL chose to limit itself to two lines, to keep costs under control and to learn how to use the data before going further.

Infeed
to monitor the composition and throughput of incoming waste, hour by hour.
Residues before the cabin
to understand how the process works and assess the recoverable materials lost.
Installation
frames made by a local company; the internet connection took longer than setting up the two cameras.
Two months
of calibration, cross-checked characterisations included, between installation in early December 2025 and usable data.

Day-to-day work

A shared grid, reports, alerts

Aligning the classification grids

Two people do not always classify an object in the same way. Before automating, NextWaste brought the SPL and the operator together to review the whole characterisation grid, category by category.

“We went through the whole classification grid together; we took a short afternoon with the operator to agree on where each object goes.”

Jackie Renaud, Managing Director, SPL Allier Tri

Making the data readable

Like many local public companies, Allier Tri works with a very small team. At the start, NextWaste produced almost daily reports to isolate the useful signals, then helped to interpret them.

Turning an observation into an alert

By cross-referencing throughput and composition over the same morning, the reports revealed strong fluctuations at the infeed, invisible in monthly averages. A throughput threshold was defined: above it, an SMS alert notifies the SPL and the operator, who can act without waiting. What is at stake is the availability of the line, an essential element of a sorting facility.

What the data reveals

Drifts finally visible, and an investment assumption called into question

InfeedLoading of the hopper was not always even, with a direct impact on the line. The information was shared with the operator to raise awareness among the teams.
StabilityComposition varies strongly from one hour to the next, but little over the period measured since early 2026. The process works well overall, and this can now be demonstrated.
15 to 20%recoverable materials in the residues, mainly fibre-based: too much, but not enough to justify an immediate investment on this line.

Continuous analysis since the end of calibration, in early 2026. The adjustments envisaged for the next operating contract will focus on upstream processes rather than on the residue line alone.

Testimonial

In Jackie Renaud’s words

“I am convinced that these tools will help us work better together, because the local authority and the operator will have the same data. And having a third party involved means nobody can say that it was one or the other who produced the data.”

Jackie Renaud, Managing Director, SPL Allier Tri
Overall view of the Chézy sorting hall, with the analysers installed above the conveyor
Analyser on the incoming waste line after the hopper.

“Allier Tri’s objective is not to monitor the operator, but to understand, in order to launch a tender and improve the treatment of separately collected recyclables.”

Jackie Renaud, on the relationship with the operator

“Perhaps we should not invest in this line straight away, contrary to what we had imagined.”

Jackie Renaud, on the residue line

“The experience is worth trying, because you get data that I was not expecting.”

Jackie Renaud, to local authorities considering it

What next

Towards wider sharing of the data

The operator’s initial reservations about the residue analyser were overcome through use. The next step is to bring the data closer to those who act on the line.

Alerts in the cabin

A screen showing alerts directly to the operators, so that they can act on the process in real time. The project is under discussion.

Sizing the future contract

Build up, month after month, a history of continuous data, in addition to the annual characterisations, to be shared with the future operator.

Measuring the impact of changes

Monitor the effect of each process adjustment, upstream as well as on the residue line.

Reading guide

The limits to bear in mind

  • A camera does not measure the moisture of incoming waste, which can nevertheless affect the process.
  • An alert only has an effect if the organisation can respond to it: with a fixed headcount, reassigning an operative during a shift is not always possible.
  • Too much data kills data: the value lies in choosing a few useful indicators and thresholds.

Preparing to renew a contract?

Let’s discuss what you know about your waste streams and a system suited to your site.

Book a meeting

Other case studies

Testimonials gathered at the NextWaste webinar “IA en centre de tri : retours d’expériences de l’analyse continue” (AI in sorting facilities: feedback on continuous analysis), held in French on 17 September 2026; the quotes on this page are translated from French.