AI-Powered PIM in EcommerceHeading

By Malik Azeez, Director of Product Information Management

Artificial Intelligence (AI) and Product Information Management (PIM) are working hand in hand. Through the power of AI, leveraging traits of the human mind to problem solve and learn from external experiences, and PIM, systematizing an organization’s product data, organizations can autonomously organize product data to reduce a significant amount of manual effort.

Key market players in AI recognize the impact this capability synergy can have and continue to launch new and innovative solutions. Informatica’s latest Product 360 release leverages AI-powered classification capabilities and further enables enterprises to accelerate performance. Product matching software offered by companies like Price tends to use API solutions for price comparison enabling enterprises to make better merchandising decisions. UiPath continues to receive funding for the development of AI-driven products and have now raised a total of $1.2B.

What does AI-powered PIM mean for the average Joe?

The pandemic has affected multiple industries in ways from which recovery can be a very tedious task. Yet it also happens to be one of the reasons why some industries expected to lag in their digitalization journeys are now a part of the thriving digital community. These digital “moves” are key as to why people are now more inclined to contactless methods of purchasing.

This brings us to another important question – “How is contactless shopping possible?” Unfortunately, there are many cracks in convenience that keep people from fully leveraging contactless shopping – without much information of the product to be bought people are evidently hesitant to purchase. This is where AI-powered PIM comes into play. Well-established and new retailers need a reliable source to provide consumers with well informed, trusted details on products – information up front means no regret later! Thanks to technology like AI-powered PIM (even amidst this pandemic) global retail ecommerce sales have seen economic growth of 16.5%.

PIM’s critical functions in ecommerce

We’re well aware that ecommerce is a practice that requires high speed and therefore a framework that can effectively support the production and enrichment of data for individual products has been created. Product information that is both informative and is of some monetary value makes all the difference in an online store. To simplify PIM’s support of ecommerce:

  • Instantaneous processing and importing of supplier data
  • Control of how data is organized and presented in relation to advanced search and filtering
  • Efficient handling of product images, videos and other information

Another important aspect of product information syndication and mastering is how Product Data Syndication (PDS) also contributes towards the rapid, seamless, and effective delivery of product data to external networks and marketing ecosystem partners. Online retailers and distributors benefit immensely from extensive data syndication because it opens up new revenue sources, speeds up the addition of new items, and increases the appeal of merchandise.

PIM will be the business application that behaves as a bridge between product authoring collaboration, data syndication to external systems, and distribution networks, while also providing MDM tools with accurate product content to keep the Product Golden Record up to date. MDM may also be used to complete the content data mastering process.

PIM can act as a shared product content management tool with more information about the products, variants, and assortments, while MDM can be used to analyze how many products the business produces.

PIM leverages AI-driven systems to support its work in supplying data to ecommerce platforms.

These AI-powered tools work collaboratively with PIM to drive as much product information as possible, “learning” about customer needs as they search through products. In the background, the collected learning data is analyzed and converts into customer suggestions, providing them with relevant product options. The AI systems enable exceptional customer experience, ultimately leading consumers to conversion.

Vendor and platform AI-PIM activity

Ecommerce platforms like Amazon and Flipkart jumped onto this digitalization combo as soon as AI-powered PIM gained industry footing. These two websites are now some of the most successful ecommerce sites thanks to their move.

PIM vendors have begun to evolve their solutions enabling merchants to craft a product experience instead of simply managing products. Informatica’s Claire engine provides recommendation services during product classification (i.e., matching SKUs to an appropriate hierarchy). Stibo Systems utilizes omnichannel analytics to offer the next best action in a customer’s journey or product perusal. Akeneo’s Franklin empowers merchants with a library of 50 million products that contain technical product information for product catalogs.

How can AI-powered PIM drive growth in your organization? Reach out today to speak with one of our experts!

Recent Posts

Executive Perspective: Why Securing Your Data is the Key to Winning with AI

As CXOs, we’re all focused on leveraging AI to drive efficiency, innovation, and competitive advantage. The conversation often starts with infrastructure (GPUs, LLMs, and copilots), but let’s be clear: AI doesn’t run on GPUs. It runs on data. And if our data isn’t secure, nothing else matters. Unsecured and unclassified data undermines trust, exposes us to risk, and jeopardizes the very AI strategies we’re betting our futures on. It’s not about chasing the next shiny tool; it’s about building a foundation that allows AI to scale safely, responsibly, and securely.

Quantifying the Value of Data in Financial Services

In the financial services sector, data is a critical asset that drives profitability, risk management, regulatory compliance, and competitive edge. However, measuring its value remains challenging for many CFOs across sectors of the financial services industry regardless of organizational size or country of operations. CFOs rely on accurate data for forecasting, budgeting, and strategic planning. Quality data leads to better decision-making, optimized capital allocation, and swift responses to market changes. It is also vital for risk management, regulatory compliance (e.g., BCBS 239, Basel III, AML/KYC), and avoiding fines and reputational damage. “Fit for Business Use” data also supports customer retention, personalized services, and improved revenue stability. Data-savvy CFOs leverage insights for long-term growth.

AI Starts with Data: Go From Hype to Results

AI continues to dominate the conversation in business. From executive meetings to strategic roadmaps, AI is no longer just a trend but a real driver of transformation. The challenge is that while nearly every organization is talking about AI, very few are prepared to use it in a way that delivers measurable outcomes and lasting impact. The difference between hype and outcomes almost always comes down to two things: the quality of your data and your organization’s readiness to execute.

Exciting Updates from Informatica World: Paradigm Embraces the Future of Agentic AI

The digital landscape is evolving rapidly, and staying ahead means embracing the latest innovations in data management and artificial intelligence. At this year’s Informatica World, Paradigm is thrilled to share the groundbreaking advancements unveiled by Informatica, centered around their latest agentic AI solutions on the Intelligent Data Management Cloud (IDMC) platform.

Modernizing PowerCenter: The IDMC Way – Better, Faster, Cheaper

For many organizations, Informatica PowerCenter has been the workhorse of their data integration for years, even decades, reliably driving ETL processes and populating data warehouses that feed BI reports. However, this longevity often leads to a complex environment that can hinder agility and innovation.

Boost Growth with Data-Driven Hiring for Boutique Consultancies

Consistency is key to a boutique consultancy. Delivering quality services day in and day out, even as client demand fluctuates, relies heavily on having the right talent at the right time. Perhaps one of the largest operational challenges for small and mid-sized consulting firms, though, is matching recruitment cycles with cyclical demand. Without scalable, data-driven talent practices, consultancies can suffer from misaligned capacity, lost revenue streams, and stalled growth.

Strategies for a Successful Journey in Building the Dream Team

In the whirlwind world of project management, the success of a project often hinges on the strength and consistency of the team behind it. Imagine embarking on a journey where building a high-performing project team is not just about assembling a group of skilled individuals; it’s about fostering collaboration, trust, and a shared sense of purpose. Based on my personal experiences, let me take you through this journey with some strategies I use to help you build and lead a high-performing project team.

The Ultimate Guide to AI-Enhanced APIM Analytics for Enterprise Success

Enterprises increasingly rely on Application Programming Interface (API) Management (APIM) to streamline their operations, enhance customer experiences, and drive innovation. Azure API Management is a comprehensive solution enabling organizations to manage, secure, and optimize their APIs efficiently. However, beyond API management, APIM analytics – particularly when integrated with AI and data analytics – empowers senior executives with critical insights for real-time decision-making.

Why PMOs that Leverage Power BI are More Successful

Project Management Offices (PMOs) are increasingly turning to Microsoft Power BI as a game-changing tool to enhance their project management processes. By leveraging data visualization and analytics, PMOs can make informed decisions, streamline reporting, and improve overall project outcomes.