At the same time, AI tools have become easier than ever to use, creating the perception that deploying AI agents or selection bots is straightforward. This often leads to the assumption that large language models already contain all the knowledge required, or that feeding them with unstructured documents and data dumps is sufficient.
In reality, this only works for generic information available in the public domain.
When it comes to recommending your products, the challenge is very different.
An effective AI agent must rely on complete, accurate, and up-to-date product data, including detailed attributes, regulatory context, application knowledge, and sometimes internal or confidential information. Without structured and actively governed Product Master Data, AI agents quickly reach their limits.
Imagine a customer asking an AI assistant:
“Which of your additives meet FDA food-contact requirements and work in solvent-free formulations?”
If the underlying product data is incomplete, outdated, or inconsistently defined, the AI will try to compensate. This is how “AI hallucinations” occur, not because the model is unreliable, but because the data it relies on is.
In the chemical industry, such errors are not trivial.
Incorrect recommendations can lead to compliance risks, loss of credibility, and damaged customer trust.
AI can only be as reliable as the product knowledge it is allowed to access.
Many companies assume that AI will “figure out” their data structure on its own. While modern AI models are indeed capable of detecting patterns, this does not replace the need for high-quality, well-governed data.
What AI needs is not just more data — it needs the right data.
That means ensuring that product attributes, compositions, and performance properties are:
This is where Product Information Management becomes critical.
A PIM like ionicPIM provides the trusted data foundation AI agents require to operate safely and effectively in a regulated, performance-driven environment.
ionicPIM enables companies to:
This transforms fragmented information into AI-ready Product Master Data, reliable, contextual, and compliant by design.
With ionicPIM as your AI data engine, you can:
Instead of relying on generic, public sources, your AI agents now draw from your own verified product intelligence, making every answer as reliable as your internal experts.
When powered by structured Product Master Data, AI agents can:
This transforms AI from a gimmick into a trusted digital colleague, supporting your commercial, technical, and regulatory teams in real time.
The chemical companies that succeed with AI will not be those that deploy the most chatbots, but those that invest first in product data quality, governance, and consistency.
AI does not replace expertise, it amplifies it.
But only if the underlying data is trustworthy.
By putting Product Master Data at the core of your AI strategy, you ensure that innovation delivers real value: accuracy, compliance, and speed.
Ready to Build AI Agents You Can Trust?
Discover how ionicPIM helps chemical companies prepare their product data for reliable, compliant, and scalable AI applications. Contact our experts.
Explore the full use case: Enable AI Agents for Product Discovery.