Case Study: Chemical Production Company improves product quality prediction with Seeq Corporation

Chemical Production Company - Customer Case Study

Chemical Production Company needed a way to reduce product downgrades by predicting finished product properties earlier in the process. Because lab tests for quality such as viscosity and density were slow and infrequent, the company wanted a better way to forecast whether material in process would meet specification. Vendor Seeq Corporation provided advanced analytics software to help model product quality from upstream reactor data.

Using Seeq Corporation’s Prediction tool, the team built a model of polymer viscosity from reactor temperature, monomer conversion, and modifier feed rate, with time shifts applied to account for process lag. The model achieved strong accuracy (r2 > 0.9) and correctly anticipated 82% of historical quality excursions, enabling proactive adjustments that improved low-quality product yield by more than 50%. Seeq Corporation estimated this approach could add over $600,000 in annual profit, with potential margin-loss reduction of more than $1,000,000 per year.