7 Best Product Data Enrichment Services for Agentic Commerce in 2026
Messy product data kills conversions, makes you invisible to AI agents.
When shoppers (or their AI shopping assistants) can't find clear, accurate info, they don't just hesitate—they bounce. But cleaning, structuring, and enriching product data at scale? It's almost impossible to do in-house. You need the right tools.
In 2026, automation is the only way to keep up. With the rise of Agentic Commerce, your data doesn't just need to be readable by humans; it needs to be structured for machines. The market is packed with platforms promising smarter product data management that prepares you for this shift.
But which ones actually deliver? And what's the best fit for your needs? Let's dive into that.
Many vendors don't provide clear details about their solutions. It's often unclear what data they actually deliver and how autonomous the solution is in handling tasks like sourcing, cleaning, and enriching data.
Do you need help sourcing raw product data, cleaning and standardizing it, or enriching it with AI-readable attributes? Alternatively, are you looking for an all-in-one solution that handles everything from raw feed to agent-ready export? Understanding which stage of the data pipeline you struggle with most will help you select the right service.
In 2026, your product data must be understandable by machines, not just humans. Look for tools that prioritize Universal Commerce Protocols (or ACP). A good enrichment service should structure your data with the standardized context and "product truth" that AI shopping assistants rely on. If a tool doesn't output data that AI agents can trust and read, you risk losing visibility in the growing market of agentic commerce.
Testing and implementation are key. Make sure to evaluate how easy it is to integrate the solution with your existing systems and how long it will take to set up. Some services are plug-and-play, others require more technical setup or customization.
Consider the pricing structure. Some vendors charge based on the volume of products, while others have subscription-based pricing. Look for a solution that fits your budget while offering the features you need—whether it's automation, real-time updates, or support for multiple data sources.
Lastly, pay attention to any additional features that might benefit your business, such as the ability to scale, ease of use, and customer support. Make sure the solution you choose aligns with your long-term goals and can grow with your business.
Best fit for
Businesses looking for a fully automated, agent-ready data solution. Ideal for those who need their product data cleaned, structured, and standardized for Universal Commerce Protocols (and ACP) without dedicating internal dev resources to the task.
Pricing
Starting at €99/month
Reviews
Free trial
Yes
Overview
Outfindo delivers a complete, end-to-end solution designed for the era of Agentic Commerce. Using proprietary AI agents, Beacon and Diver, it automates the sourcing, cleaning, and enriching of product data based on deep consumer research. This ensures your data addresses real user intent, making it readable for both human shoppers and AI agents (UCP compliant).
You don't need to build complex infrastructure or manage data manually. Outfindo handles the entire pipeline—from raw feed to AI-ready export. Simply upload your product feed, and our agents transform it into a high-quality, standardized asset that drives conversions across all channels.
Best fit for
Enterprises requiring custom data optimization solutions with a focus on security and the ability to handle large catalogs and complex infrastructures. Ideal for businesses with significant data management needs and resources to handle the customization and setup.
Pricing
Frontnow does not provide public pricing. The cost varies based on factors such as company size, product catalog size (number of SKUs), integration complexity, and enterprise-specific requirements.
Reviews
Free trial
No
Overview
Frontnow provides a highly customizable solution for enterprise businesses that need data optimization. However, it’s difficult to assess the autonomy of the platform or the specific layers of data it delivers, as Frontnow does not provide much information on how their solutions operate. This lack of transparency suggests that the service is tailored more for large enterprises that require custom solutions for handling massive product catalogs and complex data infrastructures.
Frontnow’s main selling point is its enterprise-grade security and ability to manage large, intricate data sets, making it a solid choice for companies with significant resources and a need for bespoke solutions. While the platform seems capable of supporting these complex needs, its lack of clear, detailed information may pose challenges for businesses looking for a straightforward, ready-made solution.
Best fit for
Businesses that want to stay on top of their product data processes and actively manage and enrich their data with a focus on psychology-informed attributes.
Pricing
Crobox offers three main pricing tiers for their product data enrichment and product discovery solutions, but all pricing requires direct consultation with their sales team.
Reviews
Free trial
No
Overview
Crobox offers a tool designed to help businesses manage and enrich their product data by tagging and identifying gaps. The platform aids teams in processing product data and suggests enriched parameters, often based on psychological insights. However, Crobox does not provide much transparency on how autonomous the solution is, which makes it challenging to estimate how much manual involvement is needed.
Crobox seems more like a "whisperer," helping staff become more effective at managing and enriching product data by providing suggestions and identifying areas for improvement. While it's a useful tool for businesses that want more control over their product data, it may not be as fully automated as other solutions.
Best fit for
Businesses that already have accurate and complete product data and need to enrich it with channel-optimized attributes using AI for improved customer search relevance and personalized experiences.
Pricing
Lily.ai does not publish public pricing information and operates on a custom, enterprise-focused pricing model.
Reviews
Free trial
No
Overview
Lily.ai specializes in transforming raw product data into enriched, channel-optimized attributes using AI. Their solution is designed to take existing product data and refine it, aligning it with how customers actually search and engage with products. By leveraging AI trained on natural language, Lily.ai enables brands to improve search relevance, deliver personalized experiences, and drive measurable revenue growth.
Lily.ai does not help with collecting, cleaning, or structuring raw product data. It’s essentially a layer that sits on top of your existing data, translating technical jargon into language that resonates with customers. While this makes it an excellent choice for businesses with well-organized product data, it’s not ideal for companies needing assistance with data collection or initial cleanup.
Best fit for
Businesses that want to help automate the extraction and cleaning of raw product data and collaborate with a data science team to enhance parameters and improve product categorization.
Pricing
Constructor does not provide public pricing. The pricing structure is enterprise-focused and requires a custom quote based on direct consultation with Constructor's sales team.
Reviews
Free trial
No
Overview
Constructor offers advanced AI tools designed to automate the extraction, cleaning, and preparation of raw ecommerce data, creating a solid foundation for attribute enrichment. Once the data is ready, businesses can work with Constructor’s data science team to identify and enhance the most valuable attributes for their products. Additionally, Constructor allows businesses to train AI models using prepared data, such as product catalog and behavioral data, to refine the AI’s ability to categorize products and optimize attributes.
This solution requires the expertise of a data science team to make strategic decisions on how to enhance product attributes. Constructor is an enterprise-focused solution that offers robust tools but requires significant collaboration and involvement from the customer’s team.
Best fit for
Businesses that want to enhance their raw product data with valuable consumer insights derived from customer reviews, and need a tool to streamline the data enhancement process.
Pricing
Harmonya does not provide public pricing and operates on a custom enterprise model. It is available through Google Cloud and Microsoft Azure marketplaces, but pricing still needs to be discussed with the sales team.
Reviews
Harmonya has no reviews on the G2 platform and no profile on Capterra as of February 2026.
Free trial
No
Overview
Harmonya enriches existing product data sources by adding attributes, concepts, and characteristics based on customer reviews. It identifies opportunities for attribute-level improvements, providing actionable suggestions for enhancing product data. While Harmonya does not fully automate the process, it significantly helps businesses by suggesting improvements and new attributes that can improve product listings.
This solution is ideal for businesses that want to stay involved in the process of enriching their product data but need a tool that can help make the manual work more efficient. Harmonya is not fully autonomous, but it provides an effective way to enhance product data by leveraging consumer insights, making it a great choice for businesses that want to be hands-on while still benefiting from automation where possible.
Best fit for
Enterprises looking to train AI models on their own datasets to enhance product data enrichment.
Pricing
Zoovu’s pricing is highly variable, requiring direct negotiation with their sales team to get an accurate quote based on enterprise needs.
Reviews
Free trial
No
Overview
Zoovu is tailored for enterprise businesses that want to leverage their own product data to enhance AI-driven recommendations and product classifications. Their strength lies in processing and optimizing data in different formats, allowing enterprises to create highly personalized, effective customer interactions. However, its complexity and the need for businesses to train the AI using their own data make it best suited for large organizations with the resources and technical expertise to fully utilize the platform.
The main difference is whether you want a fully automated solution like Outfindo or prefer a tool that partially automates the process while still requiring manual input.
Outfindo offers an end-to-end solution. Just upload your product feed, and it takes care of everything from sourcing and cleaning to enriching the data, powered by customer behavior analysis. With a free trial, you can test it before committing.
Most other solutions are tools that help automate parts of the process, but they still need significant manual work and expertise.
The right solution depends on how much autonomy and time you’re willing to invest in managing your product data. Choose the one that best aligns with your business needs and goals.
