Monument Chemical's Houston team cut the time to a shippable tank by about 60%

In specialty chemicals, a batch is not finished until it sits in a tank you can ship. Monument files this result under "Faster delivery."

On October 19, 2026, Monument Chemical described how its Houston team is "turning complex production data into actionable insights." The story comes from a talk by Yndalecia Martinez, a senior production engineer, at TrendLab 2026 North America, an event hosted by TrendMiner, the data analytics company whose tool the team uses.

The headline result, in the company's words: "By analyzing production data and refining a catalyst activation process, the Houston team reduced the time needed to produce a shippable tank after activation by approximately 60%."

The tool brings "information from multiple sources into one easy-to-use visual platform," so engineers can "quickly compare production runs, spot patterns, identify potential issues, and find opportunities to improve." Separately, the company says engineers are "using a range of AI tools" to "develop code and automate processes much faster, even without specialized programming expertise."

"Technology helps us spend less time gathering information and more time figuring out how to make things better," Martinez said.

How to read this: this is Monument describing its own work, and the figure has not been independently verified. The company frames the effort as "combining advanced data analytics, AI-powered tools, and the expertise of our people," and it credits the 60% to analyzing production data and refining a process. It does not say how much of that came from AI, so we make no AI-only claim. The page gives no baseline time and no date for the change.

By the company's account, the gain came from analyzing its own production data and refining one step, the catalyst activation.