Digital Chemical Industry:

With over 90% of everyday products containing chemicals in some manner or the other, the chemical industry becomes one of the most influential and critical sectors in the world today. With growing uncertainty & volatility in a range of end markets, demand for chemicals has become harder to predict. Increasing production flexibility to pursue new opportunities, coupled with improved efficiencies to manage costs, are essential capabilities needed to weather potential storms. Digital technologies offer a path to improve plant capabilities & performance while minimizing costly capital expenditures. Chemical companies also leverage digital to address fluctuations in supply chain and raw material prices.

A new game-changer in the Chemical Industry-Artificial intelligence

Even though the chemical industry is one of the core industries in this post-industrial revolution world, it is marred by various challenges; process optimization is the most significant. This requires a need to address different process inefficiencies, which can be involved in nature. It is also time-consuming and challenging to identify their root causes. All this while trying to adapt to seemingly incessant changes, be it with feedstock prices, workforce demographics, customer expectations, or environmental laws and requirements. With the ever-growing competition, the industry also needs to be always on its toes, innovating regularly to maintain its market leadership.

In the recent past, the digital revolution, together with artificial intelligence and machine learning, has brought about a significant disruption in the chemical industry.

With Chemdelve AI-based solutions, the chemical companies can use the already available data to measure, model, and implement specific actions to optimize their production line and boost their sales by improving their targeting and bettering their supply chain. With constant analytics and data-based modeling, the industry achieves a more significant success with newer product lines, smart maintenance plans, less unplanned maintenance, and optimized operational costs. Further, with AI-based processes, the industry also improves its production efficiency, reducing their power consumption, while identifying ways to optimize their waste management processes, resulting in reduced carbon footprints.