Nesh CTO Colin Harman considers the state of GenAI in 2025 and what specific use cases could bring to the chemical industry.
Chemical Manufacturing
September 26, 2024
Chemical manufacturing companies are using generative AI (genAI) for many aspects of operation today. One of the most promising use cases involves genAI for technical services.
With increasing industry demands for innovation, sustainability, and efficiency, generative AI is a helpful tool that enhances everything from product development to customer support — two crucial processes for technical services.
Let’s take a closer look at generative AI for technical services in the chemical manufacturing industry.
Technical services teams play a crucial role in the chemical manufacturing value chain — bridging the gap between chemical companies and their customers. Their efforts hinge on the ability to align chemical manufacturing departments like research and development (R&D), sales, and customer service to support customer applications of chemical products.
Technical teams are responsible for:
Implementing GenAI into technical services can significantly enhance these capabilities and drive business growth. Here’s how.
GenAI benefits technical service streams in chemical manufacturing through several primary applications.
At their core, genAI platforms are powerful knowledge bases that give technical service representatives instant access to detailed product information. This equips them to:
By leveraging GenAI, technical service teams can provide more accurate and instant support. This improves customer satisfaction and builds stronger client relationships post-product delivery.
When faced with complex technical challenges, GenAI offloads the problem-solving process by quickly analyzing historical data to identify similar issues and potential resolutions. AI for technical analysis can generate the best solution based on vast amounts of company information and data sheets that technical teams would otherwise have to spend hours looking through.
Generative AI platforms also simulate different scenarios for optimal outcome predictions, enabling technical service teams to address the root of the issue more efficiently to ensure quality customer service, technical support, and application guidance.
GenAI is already transforming the way chemical manufacturers approach formulation and product development. GenAI helps technical services streamline customer formulation requests when problems arise or specialty solutions are required.
AI streamlines the steps that require service teams to leverage in-depth technical knowledge in their search for innovative or specialized product solutions based on specific customer requirements.
Services teams use genAI to support:
Once products are delivered, technical service teams in chemical manufacturing must continue to educate customers on product applications and safety considerations. Generative AI supports this process. Technical teams gain support with delivering:
By leveraging GenAI for customer education, technical teams encourage product adoption and usage.
The integration of genAI into technical services offers numerous benefits for chemical manufacturers.
By providing sales teams with instant access to technical information and product recommendations, genAI enables faster and more effective customer interactions. This can lead to shortened sales cycles and increased win rates.
GenAI-powered technical services and sales help representatives solve customer issues faster through more accurate product recommendations and personalized support. This results in higher customer satisfaction and loyalty, supporting company profitability.
Automating routine tasks and providing instant access to information enables technical service teams to focus on high-value activities. This leads to increased productivity and more efficient use of expert resources.
By leveraging GenAI for product development and problem-solving, chemical manufacturers bring innovative solutions to their customers, gaining a competitive edge in the industry.
While the potential of GenAI in technical services is immense, there are several requirements to consider when evaluating vendors. Your organization can make the most of its genAI solutions by addressing the most common integration demands.
As genAI continues to evolve, its impact on technical services in chemical manufacturing will grow in demand. We can expect to see more sophisticated predictive maintenance capabilities and improved natural language processing for more seamless human-AI interactions.
By embracing generative AI, chemical manufacturers are transforming their technical services, driving greater innovation, improving customer satisfaction, and gaining competitive advantages in this complex market.
To learn more about how Nesh's genAI platform can drive growth for your technical services and technical sales in chemical manufacturing, check out The Future of Chemical Sales: 6 GenAI Use Cases Fact Sheet.
Nesh CTO Colin Harman considers the state of GenAI in 2025 and what specific use cases could bring to the chemical industry.
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