Watch the full interview here:

Chemical manufacturing can be a highly-complex business. It’s a constant battle to fend-off production losses, particularly in the areas of quality and yield.

The nature of those losses differ from manufacturer to manufacturer — and even between different factories and lines within the same company. But very often, these losses have one thing in common: they are caused by inefficiencies in the production process itself (as opposed to, say, problems with individual physical assets on the line).

Allnex, a leading resins manufacturer, were struggling with a particularly painful problem. Their production process was very harsh on their equipment, leading to significant periods of factory downtime, as teams needed to be mobilized to clean and restart the machinery. This posed a major challenge in a competitive marketplace, by hampering their ability to meet growing demand.

As Global Operational Excellent Manager Jim Martin explains: “The process is inefficient, and while we’re running the equipment is constantly being attacked by the process. The product is growing in the marketplace because of its eco-friendliness, and we wanted to be able to respond to the market… and produce more, more quickly.”

Removing AI skepticism, with clear-cut results

To root-out this problem once and for all, Allnex evaluated a number of Industrial Artificial Intelligence vendors, each of which promised to eliminate the causes of their losses — and every one of which ultimately failed to deliver. It’s a story many chemical manufacturers will find all-too familiar, and it led to a sense of skepticism about the practical usefulness of AI technology.

But when they turned to Seebo, that skepticism quickly dissipated. Jim and his team were particularly impressed by Seebo’s “process-oriented” approach, in stark contrast to other AI and Machine Learning vendors.

“We had a number of companies that we looked at. Seebo was the only one that was process-oriented. Many of the others were data-oriented, and they did not understand the process,” explained Jim.

“Significant financial success”

Jim describes the process as an “iterative” one, that over time has had a “dramatic impact”.

“Using Seebo has put us on the path of significant financial success. It’s like having a very skilled, very talented engineer watching the process 24/7.”

“We no longer have to spend time monitoring and figuring out the interrelations (between tags) — the Seebo solution is doing that for us,” he continued. “It’s made the engineers’ life much simpler.

“It’s eliminating process inefficiencies, it’s improved quality, it’s improved yield — and I cant say enough about the collaborative relationship, and their desire to get meaningful results.”

The following is a full transcript of the video testimonial above:

There’s a lot of confusion and skepticism on AI and what AI means…

Using Seebo has put us on a path of significant financial success. It’s eliminating processing inefficiencies, it’s improved quality, it’s improved yields. It’s had a dramatic business impact.

I’m Jim Martin with Allnex, we’re a global, leading resin manufacturer.

The product we create at Allnex is very unique in the marketplace. It offers flexible adhesives, non-yellowing sealants, water-based polyurethane dispersions.

The process is inefficient and while we’re running, the equipment is constantly being attacked by the process.

The product is growing in the marketplace because of its eco-friendliness, and we want to be able to respond to the market and be able to produce more and more with the equipment.

When we looked at choosing an artificial intelligence partner, we had a number of companies we looked at. Seebo was the only one that was process-oriented, many of them were data-oriented, and they did not understand the process.

We chose Seebo because they were very focused on the process, very focused on business results, and we were confident they could deliver those results.

One of the things the tool does very well is, it’s like having a very skilled, very talented engineer watching the process 24/7, watching it the same way every time.

Having that confidence that the process is being monitored correctly, allows us to look at, where else can we use the tool? Where else can we spend the time? We no longer have to spend time monitoring or figuring out  the interrelations — the Seebo solution is doing that for us.

It’s made the daily engineer’s life much simpler. There were many interactions with the process, the engineer had to take once a day, once a week, and constantly making interventions. Those interventions have dropped down drastically.

It just gives us the ability to not dwell on the processing issues, but dwell on the processing opportunities.

It was refreshing to work with a vendor that had exactly the same interest that we had.

It’s eliminating processing inefficiencies, it’s improved quality, it’s improved yields,  and I can’t say enough about the collaborative relationship and their desire to get meaningful results.

Want to see how Seebo can drive quality and yield improvements for your business? Book a free personalized demo, and we’ll show you!