Not long ago, AI was mainly about simple automation. But today's AI can understand product specifications and generate compelling descriptions that align with your brand voice. It adapts content for different markets and maintains technical accuracy.

This blog post is about what is waiting around the corner – what is coming next.

The next wave of AI capabilities will transform how customers find and interact with your products across every touchpoint.

It completely changes product experience management (PXM).

For you to really understand your strategy and competitive positioning as it relates to PXM, this blog post will bring you up to speed. Read on and understand where the technology and industry are today and what is coming next in terms of GenAI in PXM.

Where GenAI stands today in PXM

Most organizations start with basic content creation tasks. Product descriptions are the most common application. Feed AI your technical specifications and attribute data – out come initial drafts.

Translation and localization workflows are popular

AI can now handle product content across multiple markets. But you still need human oversight for brand voice consistency and cultural nuances.

Content enhancement is also gaining traction – using AI to:

• Expand bullet points into full descriptions
• Optimize content for search engines
• Adapt messaging for different customer segments

Most of the focus is on text-based content

Image generation and video creation are still largely at the experimental phase.

Most companies still rely on traditional creative processes for rich media assets. The technology exists, but practical implementation in enterprise PIM systems is limited.

Quality control varies dramatically across organizations

Some have strong governance frameworks with human review processes. Others deploy AI with minimal oversight.

Of course, inconsistency like that creates significant risk in customer-facing content. Your brand reputation depends on content being accurate, but many teams just don’t have the proper validation workflows for AI-generated material.

That is where we are today. Now let us dive into the more interesting stuff:

The next wave of GenAI innovations coming to PXM content

What you can do with GenAI today is only the foundation.

Advanced AI innovations are on the way, that will completely change how you manage and deliver product experiences.

Smarter translation that understands context and brand voice

Traditional translation tools can make language accurate. The next generation understands your product domain and brand personality.

These systems keep content consistent across your marketing. And they do so by learning from your existing:

• Content patterns
• Style guides
• Approved translations

They recognize when technical specifications should remain unchanged and when marketing copy needs cultural adaptation.

For example, your automotive brake specifications stay precise, but your lifestyle product descriptions adapt to local preferences and buying behaviors.

Dynamic rich media creation tailored to specific audiences

GenAI will soon generate product images, videos and interactive content that adapts to specific customer segments.

Instead of creating one hero image, you will have AI that produces variations that are optimized for different channels, demographics and use cases.

For example, a power tool might appear in a workshop setting for professional contractors, but in a home garage for DIY enthusiasts. The same product, different contexts, and it is all generated automatically from your core asset library.

Transforming translation and localization workflows

If we move on from language conversions, AI will handle complete localization workflows.

It will adapt product bundles for regional preferences, adjust pricing displays for local currencies and modify feature highlights – all based on each market’s priorities.

Your product data structure stays completely consistent. It is just the presentation layer that cleverly adapts to each market's requirements.

AI-powered video and interactive content generation

Product demo videos will be generated directly from your technical specifications and asset libraries.

Interactive 3D models will emerge from standard product images.

Configuration tools will adapt automatically as you update product variants in your PIM system.

Those were just three examples of capabilities to look forward to in some of these GenAI-enhanced tools, which make you less dependent on external creative agencies for routine content production.

Real-time content personalization based on customer behavior

Some advanced implementations will connect product data with customer interaction patterns.

Content will adapt based on browsing history, purchase behavior and stated preferences. Product descriptions will emphasize the features that are most relevant to individual customers.

For that to happen you need more than to add GenAI, though. You also need to combine product data with customer data. You need multidomain capabilities.

Now that we have gone through some of the great things GenAI will soon be able to do for your product experiences, let us – for the sake of balance, also look at some of the main obstacles standing in the way of achieving it.

The biggest risks and challenges when you apply GenAI to PXM content

As you know – and see in the media all around you – using AI-generated content comes with real risks.

Your product information forms the foundation of customer trust and purchasing decisions. So, getting it wrong has immediate business consequences.

Keeping data accurate and avoiding AI hallucinations

AI systems can generate plausible-sounding but factually incorrect information. This becomes particularly dangerous with technical specifications, safety warnings and compliance data.

Your AI might confidently say that a power tool operates at 240V when it actually runs on 120V. Or it could invent product certifications that do not exist.

Errors like that can easily lead to safety issues, legal liability and ruined customer relationships.

Avoiding it takes strong validation workflows. You need:

• Automated fact-checking against your master data
• Human review for critical attributes
• Clear audit trails for all AI-generated content.

Keeping your brand voice and messaging consistent

AI systems are great at mimicking writing styles, but they struggle with nuanced brand personality. Your brand voice is a result of years of marketing investment and customer relationship building.

When your tone varies across product descriptions, your customers will have fragmented experiences.

One product might sound technical and formal, another casual and playful – even within the same category.

It helps to train your AI on your specific brand guidelines, content samples and style preferences. But you also need ongoing quality monitoring and feedback loops to maintain consistency at scale.

Managing the complexity of integrating AI with existing systems

Your technology stack keeps growing.

• PIM systems
• DAM platforms
• Content management tools
• Various data sources

When you add AI capabilities to all that, you face new integration challenges and potential failure points.

Your legacy systems may not support real-time AI content generation.

Data quality issues become amplified when AI processes inconsistent or incomplete product information.

API limitations can create bottlenecks in content workflows.

For your integration to succeed, you need to carefully plan data flows, fallback mechanisms for system failures and gradual rollout strategies. You cannot simply overlay AI on existing processes without also considering system interdependencies.

What you need in terms of skills and resources

When you implement AI for product content, you need many new types of specific expertise that many organizations lack internally. And the competition for talent is fierce when it involves AI.

Here are some skills.

Technical skills:

• Data science capabilities to train and fine-tune models
• Integration expertise to connect AI with existing systems
• Quality assurance processes for AI-generated content

Business skills:

• Content strategy development for AI-assisted workflows
• Change management for teams adapting to AI tools
• Governance framework design for AI content approval

Most organizations need external partners or new hires to fill these gaps. If that is not possible, then start with simple use cases and build expertise gradually.

Common misconceptions about AI capabilities

Naive organizations expect AI to work perfectly from day one. The reality is more complex. Always keep the following truths in mind.

AI is not plug-and-play. It needs training on your specific product data, brand voice and business rules. GenAI models will not understand your industry terminology or customer needs without customization.

AI does not eliminate human oversight. Content still needs review, especially for technical accuracy and brand consistency. AI speeds up content creation, but it does not replace human judgment.

AI quality depends on data quality. Poor input data creates poor AI outputs. Your existing data governance practices become even more critical when AI amplifies any inconsistencies or errors in your product information.

Product Experience Data Cloud from Stibo Systems

As AI transforms product experiences, you need a platform built specifically for these advanced capabilities.

Stibo Systems Product Experience Data Cloud (PXDC) gives you the foundation for enterprise-grade AI implementation in product data management. The solution combines traditional PIM strengths with native AI tools that are designed for complex product catalogs.

Built-in AI tools for content generation and enhancement

PXDC comes with integrated GenAI capabilities that work directly with your product data structure.

You can generate product descriptions, optimize content for different channels and create localized versions without switching between multiple tools.

The AI understands your product taxonomy and attribute relationships.

When you update a technical specification, the system can automatically regenerate affected content across all channels. No manual content updates are required.

• Automated description generation from technical attributes and specifications
• Content optimization for different sales channels and customer segments
• Translation and localization that preserves technical accuracy
• SEO enhancement based on product category and target keywords
• Content gap identification to highlight missing or incomplete information

Quality controls and governance for AI-generated content

With enterprise product data, you need rigorous quality controls.

PXDC has multi-layer validation to prevent AI hallucinations and keep your brand consistent.

There are also content approval workflows that sure you have human oversight where it matters most.

You can configure automatic approval for low-risk content updates and require manual review for technical specifications or safety information.

The platform keeps complete audit trails for all AI-generated content. You can track what changed, when it changed and which AI model generated the content. Data lineage becomes visible across your whole product catalog.

Validation features include:

• Automated fact-checking against master data sources
• Brand voice consistency monitoring across generated content
• Technical accuracy verification for specifications and compliance data
• Custom approval workflows based on content type and risk level

Your existing data governance policies extend naturally to AI-generated content. Whether a piece of content comes from human authors or AI systems, the solution enforces the same quality standards.

Integration with existing enterprise systems

You connect PXDC with your current technology stack, so you don’t need to completely replace systems. The solution also supports standard integration patterns and has APIs for custom connections.

The AI capabilities work with data from your ERP, PLM and other source systems.

Content generation uses the most current product information automatically, which means there are no data synchronization delays or manual updates needed.

PXDC scales its AI processing based on your catalog size and content volume.

• Small product lines can start with basic automation
• Large enterprises can deploy advanced AI workflows across thousands of SKUs

Let’s sum up

GenAI is reshaping how you create, manage and deliver product experiences. The technology has moved on from simple automation to become a strategic capability for competitive differentiation.

To succeed, you need more than just adopting AI tools.

You need platforms designed for enterprise-scale implementation with proper governance, quality controls and integration capabilities.

The organizations that master AI-driven product experiences now will have significant advantages as customer expectations continue to evolve. So, your current product data strategy needs to account for these changes.

Start with clear use cases, invest in proper validation workflows and choose platforms built for the AI-powered future of product experience management.