If AI is becoming the new storefront, what does that mean for your product data?
AI is rapidly reshaping how products are discovered and purchased, from Google’s evolving AI-driven search experiences to emerging assistants powered by OpenAI, Perplexity, and Microsoft Copilot.
For commerce teams, this shift is a signal to prepare their product data to perform consistently across automated, AI-led journeys.
In our recent customer webinar, Inside the Productsup platform: Driving smarter commerce in 2026, we explored how the Productsup platform is evolving to support these changes and what fellow teams are prioritizing as they look ahead to 2026. Whether you attended live or are catching up now, here are the key insights that stood out.
🎥 Missed the live session?
You can watch the full webinar on-demand here
5 ways teams are scaling smarter with Productsup
Rather than focusing on individual updates, we explored how recent improvements come together to support more efficient, resilient product data workflows.
1. Reusing workflows instead of rebuilding them
As teams expand across new channels and markets, consistency is becoming just as important as speed. Many customers are moving toward reusable setups and structured workflows that reduce duplication and help teams stay aligned as operations grow.
Key takeaway: 58% of attendees said rebuilding feeds or dealing with inconsistent data slows them down the most, a clear signal that operational friction remains a major barrier to scaling.
How the Productsup platform supports this: Shared Data Sources, Copy Dataflow, and the Onboarding Portal help teams reuse existing configurations, standardize workflows, and reduce the need to start from scratch when expanding.
2. Automation that reduces guesswork
Automation has moved beyond simple task execution. Today, teams are using AI-assisted workflows to improve data quality and enable faster iteration, while still retaining control over outputs.
Key takeaway: During the session, attendees highlighted three primary areas where AI is already delivering value: workflow optimization and automation (25%), followed by content generation (e.g., title and description creation) and data classification (e.g., category and attribute mapping), each cited by 22% of respondents.
This shows that AI adoption is becoming more operational and practical, helping teams streamline processes and improve the quality of their product data.
How the Productsup platform supports this: Our AI Data Services and the Smarter Rule Box Finder help teams apply automation more intentionally, supporting classification, optimization, and workflow improvements.
3. Visibility and monitoring are becoming top priorities
As feed ecosystems grow more complex, visibility is necessary. Teams want clearer insights into what’s happening across feeds so they can maintain control as operations scale.
Key takeaway: Key takeaway: 30% of attendees prioritized faster setup across markets, while others highlighted the need for newer integrations, especially as agentic commerce channels continue to emerge.
How the Productsup platform supports this: Productsup helps teams accelerate setup across markets and adapt to newer integrations such as ChatGPT, Perplexity, Gemini, and Microsoft Copilot. Features like Activity Log and the Feedback Service give teams greater visibility into feed changes and maintain transparency across different channels.
👉See how Productsup supports agentic commerce
4. Enterprise-ready foundations still matter
While new capabilities continue to evolve, many customers emphasized the importance of strong operational foundations such as secure data imports, reliable integrations, and structured workflows, which remain critical at scale.
Key takeaway: Only 8% selected integrations as their primary future focus, suggesting many teams already feel confident in their connectivity and are shifting attention toward monitoring and efficiency.
How the Productsup platform supports this: Secure Google Sheets Import and ongoing integration improvements help maintain stability while teams scale across systems and regions.
5. Preparing product data for global growth
International expansion continues to shape how teams manage product data. Flexibility in pricing, experimentation, and marketplace connectivity is becoming central to modern feed strategies.
Key takeaway: 29% of attendees said faster setup across markets is a key focus for the year ahead, highlighting ongoing pressure to expand efficiently.
How the Productsup platform supports this: Feed experimentation and marketplace API updates help teams adapt to new markets while maintaining consistency.
What this tells us about where teams are headed
Across all our polls, one thing stood out clearly: commerce teams are moving from reactive feed management toward more structured, scalable operations.
- AI is already embedded in daily workflows.
- Monitoring and governance are becoming just as important as automation.
- Teams are looking for ways to expand globally without reinventing their processes each time.
For many customers, 2026 won’t be about adding more tools. It will be about making existing workflows smarter, more consistent, and easier to manage at scale.
Catch up anytime
If you joined us live, thank you again for the great questions and discussion.
If you missed it, you can watch the full session here:
👉 Watch the webinar on-demand
Or, if you’d like to review how these updates apply to your current setup, our team is always happy to continue the conversation. Connect with us today!
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