Using Generative AI for Technical Services in Chemical Manufacturing

By
Jacqueline Wasem

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.

What is Technical Services in Chemical Manufacturing?

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:

  • Providing product expertise and application knowledge
  • Offering customer support and problem-solving
  • Collaborating with R&D and manufacturing teams for specialty chemical products or tailored solutions
  • Serving as a technical resource for customers' R&D teams
  • Delivering application support post-delivery

Implementing GenAI into technical services can significantly enhance these capabilities and drive business growth. Here’s how.

Transforming Technical Service Processes with GenAI

GenAI benefits technical service streams in chemical manufacturing through several primary applications.

Enhanced Product Knowledge and Support

At their core, genAI platforms are powerful knowledge bases that give technical service representatives instant access to detailed product information. This equips them to:

  • Quickly retrieve in-depth specifications and application data
  • Generate tailored product recommendations based on customer preferences 
  • Offer real-time solutions to technical queries

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.

Accelerated Problem-Solving

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.

Optimized Reformulation and Tailored Specialty Product Development

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:

  • Rapid prototyping: GenAI evaluates thousands of potential formulations for specific customer requirements in a fraction of the time it would take human experts.
  • Analyzing alternatives: By analyzing vast datasets, GenAI elevates the properties and performance of new formulations or alternate raw materials, streamlining the process of finding the best product suggestions, product customizations, or reformulation alternatives. 
  • Sustainable innovation: GenAI helps sales and services teams identify environmentally friendly product alternatives and applications based on specific customer needs.

Enhanced Customer Training and Education

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:

  • Training modules tailored to specific customer needs
  • Product application guides and best practices documents
  • Streamlined guidance with application questions or issues

By leveraging GenAI for customer education, technical teams encourage product adoption and usage.

Benefits of Implementing GenAI in Technical Services

The integration of genAI into technical services offers numerous benefits for chemical manufacturers.

Accelerated Deal Cycles

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.

Improved Customer Satisfaction

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.

Operational Efficiency

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.

Innovation and Competitive Advantage

By leveraging GenAI for product development and problem-solving, chemical manufacturers bring innovative solutions to their customers, gaining a competitive edge in the industry.

Make the Most of Your Technical Services With AI

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.

  • Data access and integration: Make sure your genAI systems have access to accurate, up-to-date, and comprehensive data. This is crucial for their effectiveness.
  • Regulatory compliance: Chemical manufacturers must ensure that genAI applications comply with industry regulations and data protection standards.
  • Human-AI collaboration: Strike the right balance between AI assistance and human expertise. This is essential for optimal results.
  • Training and adoption: Implementing genAI requires investment in training and change management to ensure successful adoption by technical service teams.

GenAI Solutions for Technical Services in Chemical Manufacturing

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.

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