In non tech speak that means vertical AI models trained on a data set from a single industry can work faster with greater accuracy at a lower cost than a generic tool like Microsoft CoPilot or Google Gemini.
Applications of Vertical AI in the Chemical Industry
Vertical AI applications can address core america phone number list workflows. Supporting workflows may be able to be addressed with horizontal or generalized AI applications. Core workflows within a chemical company are any workflows necessary to manufacture and deliver a product to customers. Supporting workflows include back-office functions such as EH&S, marketing and procurement.
Let’s explore some of the most impactful core workflow applications:
1. Field Sales Enablement
Field sales teams in the chemical industry often face challenges managing large product portfolios and addressing highly technical customer needs. Vertical AI can transform field sales enablement by providing instant access to centralized product data, enabling sales reps to browse catalogs by any dimension or parameter. It simplifies searching, filtering, and finding the exact product required, while also allowing reps to quickly make tailored product recommendations and suggest effective alternatives or offsets.
Example: A field sales representative uses Knowde MDM platform during a meeting with a customer. If the customer asks “Do you have a translucent high-density plastic with a specific tensile modulus that is approved for food use,” the rep would search their company’s centralized product catalog by those parameters to find a product that fits the requirements.
2. Predictive Maintenance
Chemical manufacturing equipment often operates under extreme being lacanian today, each in his own way conditions, making unplanned downtime costly and potentially hazardous. Vertical AI uses real-time data from sensors to predict maintenance needs, helping companies avoid breakdowns and optimize equipment performance.
Example: Senseye Predictive Maintenance from Siemens australia database directory uses AI along with machine learning and institutional data to provide predictive maintenance that is moving toward prescriptive maintenance. (Source: Seimens) It’s basically like adding an expert to the team who can help manufacturing staff make smarter decisions to increase efficiency and uptime.