Chemicals
Offer value-added services to your chemical clients using AI
Data is the key to helping your customers optimize chemical usage and eliminate waste, scrap and defect rates.
MAXIMIZE MACHINE UPTIME
IDENTIFY AND REDUCE VARIABILITY
PREDICT PRODUCT QUALITY
OPTIMIZE SUPPLY CHAIN
ProcessMiner™ AutoPilot
We help solve time consuming and critical problems in chemicals manufacturing processes.
Driving performance with your data can leverage your AI to heightened capabilities.
MANAGE DOWNTIME AND EQUIPMENT ACCESSIBILITY
UTILIZE RAW MATERIALS TO MAX CAPABILITIES
MINIMIZE ENERGY CONSUMPTION
REDUCE CARBON FOOTPRINT
Industry 4.0 for Chemical Manufacturing
Critical to optimizing the performance of plant operations and reducing quality variations in chemical manufacturing is proactive and accurate process control. Smart technology and the digital transformation in manufacturing reduces the consumption of raw materials, and process variability, drives down costs, increases throughput, and gains a competitive edge with customers.
The ProcessMiner AI-enabled platform delivers process improvement recommendations and optimal control parameters in real-time to your chemical production line. Through our predictive machine learning and artificial intelligence systems, online recommendations are sent for autonomous proactive control. Our platform ensures reductions in cost, scrap, and defects commonly encountered in chemical manufacturing processes.
Real-time Chemical Quality Improvement Recommendations
Few manufacturers have the tools necessary to transform their data into improvement opportunities. Many in manufacturing struggle to identify inefficiencies before they affect productivity, quality, or sustainability goals. Now there is a solution for that and it begins with a powerful combination of science and technology.
The 3 biggest challenges manufacturers encounter are:
Machine Variability
Reactive Quality Control
Productivity Loss
Your customer’s data has the power to provide actionable insights that empower machines and operators to proactively address issues that would otherwise disrupt manufacturing processes. There’s no easy way to see into the future, but with an Al Platform like ProcessMiner’s, you can help your clients predict and automatically adjust for inefficiencies using their manufacturing data. Decrease waste, prevent downtime and improve product quality easily with real-time recommendations and automatic adjustments, all based on data they already have.