Get our step-by-step guide to help companies get started with the best practices to plan and launch your generative AI implementation.
Sales AI
May 23, 2024
Choosing the right Generative AI solution for your chemical company can be difficult. The GenAI landscape continues to evolve with new models and tooling routinely introduced to the marketplace and a variety of third-party applications ready to deliver solutions targeted for industries, teams, and specific use cases.
Generative AI is undeniably critical for chemical companies looking to stay ahead of the competition and tap into new workstreams for their knowledge workers. Understanding where to get started is a challenge in itself.
At Nesh, we encourage our customers to start with a simple idea or narrow use case that delivers clear ROI, drives revenue, and solves a unique challenge. This is the first step to finding the right vendor.
The Chemical Industry — including verticals like coatings, water treatment, textile chemicals, feed additives, personal care, and more — faces unique challenges not present in other industries. The industry’s unstructured data spread across product brochures, data sheets, troubleshooting guides, and more create complexities around data texture, lexicon, and context not inherent in other industries.
At the same time, this wealth of knowledge generated by customer-centric companies with portfolios featuring thousands of products creates an untapped opportunity.
GenAI vendors that tap into this product corpus have the potential to unlock new transformative workflows that accelerate deal cycles, enhance customer service levels, leverage a complete product portfolio, and ramp up new sellers.
Evaluating potential GenAI solutions for chemical companies starts with identifying vendors that tap into these revenue and customer-focused goals. Vendors should be able to support your defined use case and then scale that GenAI use case and others across multiple teams in your enterprise.
Other factors to consider include domain expertise, core technology, security standards, and the onboarding and services a vendor provides. A vendor’s expertise is critical to guiding data practices and knowledge capture to make your project a success.
Ready to dive deeper into this topic? Download Our GenAI Buyers Guide for Chemical Companies to learn more about:
Get our step-by-step guide to help companies get started with the best practices to plan and launch your generative AI implementation.
Discover how AI in chemicals is contributing to growth and advancement in every industry sector.
Discover strategies for navigating the evolving landscape of specialty chemical expertise.
