The rising complexity of e-commerce environments and the demand for seamless omnichannel experiences are driving innovation in catalog management systems, a market expected to reach a global value of US$2 billion by 2030.
For manufacturers, distributors and wholesalers, adopting this technology is essential to tackle the challenges of efficiently managing their rapidly expanding product portfolios.
Adding Artificial Intelligence (AI) to the mix can transform catalogs into a dynamic resource that can manage large portfolios and SKUs, and seamlessly connect business with buyers, streamline decision-making, and drive revenue.
Right from automating manual tasks and enhancing personalization, to delivering actionable insights, AI can reshape how suppliers create and manage catalogs. It’s not just about keeping up with change; it’s about staying ahead of it.
Let’s look at 8 ways that AI can set new standards for catalog management and help deliver better, faster, and smarter experiences for buyers.
Cross-selling, one of the most powerful sales strategies in digital commerce, can be cranked up a notch with AI.
Let’s look at some specific ways and examples on how AI can elevate cross-selling:
AI can analyze voluminous amounts of historical purchasing data and customer behavior and recommend related products, tools, or maintenance services directly within the catalog.
AI can make dynamic recommendations as a buyer interacts with the catalog. This enhances the buying experience and makes it easier for customers to find what they need when they need it.
AI can predict what buyers might need next, for example replacements or new versions of products already purchased, and present them in the catalog proactively.
In B2B marketing, ABM is a critical strategy where businesses target specific accounts or organizations rather than individual buyers. AI takes this a step further by personalizing product recommendations for an entire account.
Sales reps also benefit from AI-powered dynamic product recommendations, as it gives them more time for high-value tasks, such as nurturing relationships and closing deals.
The ewiz commerce platform leverages advanced recommendation engines to tailor product suggestions in real time, enhancing customer satisfaction while boosting order values.
Gone are the days of manually building and updating catalogs. AI automates the entire process, from sourcing product data to categorizing and formatting it. This drastically reduces time-to-market for new product launches, ensuring your offerings reach customers when they’re most relevant.
Automated catalog creation tools ensure accuracy and consistency across all channels, giving businesses a competitive edge.
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Here’s how AI-driven automated catalog creation accelerates product launches and ensures quicker updates:
AI-powered digital commerce platforms integrate various systems, such as supplier databases, internal ERP systems, and product teams and pull relevant information such as product descriptions, images, specifications, and pricing automatically into the catalog.
For businesses with large inventories, AI allows companies to automatically upload product information in bulk, generate appropriate categories, tags, and metadata, ensuring that the catalog is well-organized for searchability. It also enables the catalog to automatically segment products into categories like “Most Popular Products,” “New Arrivals,” “Top Picks,” or “Bestsellers” based on data trends and customer preferences.
With automated catalog creation you can update product catalogs in real-time. For example, when a product goes out of stock or if there’s a price change, AI automatically updates this information across all digital sales channels.
The ewiz commerce platform leverages AI to ensure that product data is updated instantly, whether it’s an inventory update, a price change, or a new feature. This ensures that B2B businesses are able to stay ahead of demand and keep their catalogs relevant.
When launching new products or updating catalogs, maintaining consistent branding and messaging is crucial to ensure a unified experience across all touchpoints, such as website, mobile app, or email. AI automates this process by applying consistent formatting, messaging, and imagery across channels.
Automated catalogs can analyze which products perform best in certain categories, which attributes customers interact with most, and what type of content (images, videos, or detailed specifications) leads to higher engagement.
For businesses that operate in multiple regions, AI can automatically create localized catalogs for different markets. AI algorithms translate product descriptions, adjust pricing based on local currencies, and account for region-specific regulations.
AI enables the creation of personalized catalogs tailored to specific industries, buyer personas, or purchasing behavior, enabling you to offer unique pricing, bulk purchase options, or product bundles tailored to individual customers.
Here’s how AI-driven personalization is reshaping B2B catalog management:
AI can personalize content and descriptions within the product catalog. Rather than presenting the same generic descriptions for every buyer, AI allows businesses to tailor the copy based on customer preferences, industry, or buyer persona.
For instance, a product description for a piece of industrial machinery might emphasize cost-saving benefits and durability for a client in manufacturing, while highlighting innovative features and scalability for a technology-focused buyer.
In a recent survey of B2B decision-makers, 86% said they would embrace innovative AI search platforms that truly understand buyer intent to successfully increase online market share and stand out in a fiercely competitive industry.
AI-driven personalized search algorithms consider a variety of factors, including previous searches, industry-specific needs, and past purchases, to prioritize relevant results.
Personalization doesn’t stop at the product catalog itself. With AI, businesses can automatically generate personalized emails that recommend specific products or promotions based on a customer’s catalog interactions.
For example, if a customer recently viewed a set of industrial tools but didn’t purchase, AI can trigger an email offering additional tools, accessories, or complementary products, along with a personalized discount or promotion. This type of email catalog marketing is highly effective in driving customer engagement and guiding prospects through the sales funnel.
At ewiz commerce, we empower suppliers to leverage AI to create smarter, more personalized product catalogs that enhance the buyer experience. By integrating AI into catalog management, businesses can ensure they’re delivering the most relevant products, offers, and content at every touchpoint.
AI-powered NLP transforms the catalog search experience. Buyers can now search using conversational queries such as “eco-friendly industrial lubricants under $500” and instantly receive relevant results.
This intuitive search capability improves user experience, reduces frustration, and speeds up decision-making, helping businesses close deals faster.
Here’s how NLP is revolutionizing B2B catalog search:
NLP allows catalog search engines to understand the intent behind the query and retrieve relevant results even if the exact terms aren’t present in the product descriptions. This flexibility ensures that the search experience is more human-centric, aligning with how buyers think and speak.
AI-powered NLP can evaluate factors like product category, buyer behavior, and even geographic location to provide search results that best match the user's intent, even if the query isn't perfectly worded.
For example, NLP can refine the search for a buyer looking for “office supplies” and use contextual understanding to recommend “office supplies for tech companies” or “bulk office supplies for corporate use.”
In B2B eCommerce, buyers may use different terminology for the same product. For example, one buyer might search for “industrial adhesives,” while another might search for “construction glue.”
NLP-powered search can recognize synonyms, related terms, and even fuzzy matching and present relevant product results.
Autocomplete and suggestions powered by NLP can predict what the buyer is searching for and show relevant suggestions as they type.
For example, if a buyer starts typing “hydraulic valves,” the search engine can suggest additional options like “hydraulic valves for construction equipment” or “high-pressure hydraulic valves for manufacturing.” These suggestions can be dynamic, based on trending products, past searches, or user-specific preferences, improving the likelihood that buyers find exactly what they need without needing to complete the entire query.
At ewiz commerce, we integrate AI and NLP technologies into our platform to enhance the search experience, helping B2B businesses deliver relevant, personalized, and frictionless catalog interactions that drive sales and increase customer satisfaction.
Maintaining consistent product categorization across extensive catalogs can be challenging, especially when dealing with thousands of SKUs. AI can automate tagging and assign relevant keywords, categories, and metadata.
Here’s how smart content tagging is transforming B2B catalogs and improving product categorization:
AI analyzes the product data—such as descriptions, images, and specifications—and assigns relevant tags based on predefined categories or learned patterns.
As a B2B catalog grows and evolves, maintaining accurate product categories becomes a major challenge. Categories need to adapt based on new products, changing customer behavior, and shifting market trends. Smart content tagging powered by AI can automatically adjust the catalog’s taxonomy, ensuring products are grouped and categorized in the most efficient way.
For instance, if a new line of “eco-friendly” industrial tools is introduced, AI can tag these products with the “eco-friendly” label and automatically place them in a relevant category, such as “Sustainable Products” or “Green Solutions.” Over time, AI can learn how customers interact with these products and adjust the categorization to improve discoverability.
Smart tagging isn’t limited to just text-based attributes. AI can analyze product images and assign tags based on visual content. For example, from a given image, AI can identify key features, such as product color, shape, size, or even the specific parts shown, and assign relevant tags.
The use of AI in tagging and categorization provides valuable data-driven insights that can help optimize product tagging over time. By analyzing how products are tagged and searched, AI can suggest adjustments to improve the relevancy of search results and the catalog structure.
For example, if a certain product consistently gets tagged with terms that aren’t generating clicks or conversions, AI can recommend changes to the tags or categories for better product visibility.
At ewiz commerce, we leverage AI to optimize product tagging and categorization, ensuring that your product catalog is always accurate, personalized, and tailored to your customers’ needs.
Visuals play a critical role in product catalogs, especially for detailed product specifications. AI-driven tools can automatically enhance images, generate vanity shots, and even create 3D renders or augmented reality (AR) experiences.
Here’s how AI-powered media tools are transforming visual content in B2B catalogs:
AI-powered tools can automatically improve the sharpness, brightness, and contrast of product images, or correct imperfections like poor lighting or blurry edges. Product images can be crisp, professional, and engaging regardless of its complexity or digital format.
AI technology is enabling the creation of 360° product views that allow buyers to interact with the image. Buyers can interact with the visuals, zoom in on specific details, click to view close-ups of parts, or even simulate how a product works.
AI-powered tools make it easy to generate customized visuals for product images, such as adding logos, watermarks, custom backgrounds, or even specific color schemes that align with brand guidelines.
AI-powered tools provide valuable performance insights on how different types of media (images, videos, AR) impact customer engagement and conversion rates. By tracking these metrics AI can help businesses understand which types of visuals resonate most with their customers.
ewiz commerce’s AI-powered platform helps B2B businesses integrate advanced media tools into their product catalogs, ensuring they stand out in a competitive market and provide buyers with the information they need to make confident purchase decisions.
AI tools analyze customer feedback, reviews, and purchasing patterns to uncover valuable insights about what works and what doesn’t. Sentiment analysis can highlight areas for improvement in catalog presentation, product descriptions, or pricing strategies.
Sentiment analysis helps businesses to deliver a more customer-centric experience by:
Sentiment analysis isn’t a one-time process; it’s an ongoing mechanism that continually monitors customer opinions and sentiments as new reviews and feedback come in. This creates a continuous feedback loop where businesses can continuously refine their product catalogs based on the evolving sentiments of their customers.
At ewiz commerce, we leverage AI and sentiment analysis to help B2B businesses create catalogs that are deeply attuned to customer needs, preferences, and experiences.
In an omnichannel B2B eCommerce environment, ensuring real-time updates across various platforms and touchpoints is crucial for maintaining an accurate, consistent catalog experience. Whether your product catalog is displayed on your website, integrated with a third-party marketplace, or accessed through mobile apps, any discrepancies between these channels can lead to frustrated customers, lost sales, and a diminished brand reputation.
AI enables real-time catalog updates that synchronize product information, inventory levels, pricing, and availability across multiple channels instantly.
Here’s how real-time updates across multiple channels are transforming B2B product catalogs:
A recent research shows that 40% of B2B eCommerce buyers want accurate information on stock, pricing, and delivery dates.
AI-powered real-time inventory tracking is a solution that helps update catalog based on live stock data. If a product is sold out or low in stock, the system reflects this across all touchpoints. This also ensures that sales teams are aware of current stock levels, which is crucial for managing backorders and restocking.
If you are selling your products through third-party marketplaces such as Amazon Business, eBay, or Alibaba, AI-powered catalog management allows your system to integrate directly with them, ensuring product information is synced in real time.
AI-powered real-time catalog updates allow customer support teams to instantly pull up the latest product details, availability status, pricing, and promotions during customer interactions.
At ewiz commerce, our AI-powered platform enables seamless real-time catalog updates, ensuring that your B2B catalog is always synchronized across all touchpoints.
Although harnessing the power of AI is a necessity for B2B businesses, maintaining customer trust while leveraging data is critical, as reflected in a recent study where only 42% of customers said they trust businesses to ethically use AI.
We at ewiz commerce are compliant with GDPR standards and prioritize transparency and building customer trust. Our commitment ensures that our AI solutions drive growth responsibly and sustainably.
Are you ready to revolutionize your product catalog with AI?
1. Dynamic product recommendations for enhanced cross-selling2. Automated catalog creation for faster time-to-market3. AI-driven personalization for targeted engagement4. Natural language processing (NLP) for intuitive search5. Smart content tagging for accurate product categorization6. Enhanced visual content with AI-powered media tools7. Sentiment analysis for customer-centric catalog improvements8. Real-time catalog updates across multiple channelsConclusion
