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Modern competitive intelligence demands a shift from intermittent spot-checks to continuous, automated data collection and analysis to ensure real-time accuracy and maintain a dynamic pricing strategy. However, the sheer volatility of e-commerce markets, characterized by millions of product SKUs and continuous price changes, raises a critical question: How do businesses accomplish this without relying on inaccurate, unscalable, and prohibitively time-consuming manual approaches?

While Generative AI can be resourceful for quick, short, and not very demanding tasks, using it with an enhancement such as a custom LLM model built based on it, might prove more useful to businesses.

SKU Validation aids companies keep track of their products, and ensure profitable sales, by standardizing product data through unique identifiers. These make trading and selling products in the market much easier, and companies do not have to worry about manually classifying and standardizing new products with every launch.

As your company grows and launches new products, the categories keep getting either redundant, or unhelpful. In many cases, products are tossed into the ‘Miscellaneous’ category to be revisited later, which rarely ever happens. Auto-classification prevents this jumbling of categories, and organizes your taxonomy efficiently!

Often times, product data that is completely and accurately filled will need to be mapped into a template that expects data in a different way in terms of column headers, units of measure and other types of normalization. Models trained on product data can do this effectively.

Even with the best tools, automation can fail if the input data is riddled with inconsistencies and errors. The good news is that even the daunting task of data clean-up can be automated! Going through every single item in your repository need not be a completely manual task anymore, if you have the right tools.

Extracting SDS/MTR data from PDFs can be an extremely time consuming task, and doing it manually can use up a myriad of resources, and cause inaccuracies. To aid this, dataX.ai offers automated extraction, which is executed efficiently through our model, and considerably lowers chances of any errors.

How does a distributor keep up with changing supplier data, especially when products are already live on their ecommerce site? Constant manual monitoring is resource-heavy and error-prone, so can automation be the answer?

Products need to be correctly classified under the correct Harmonized Tariff Schedule Codes in order to ensure smooth transit into and out of the country, and down the supply chain. Manual classification in the face of changing codes and volumes of product data is untenable. Can automation be the answer?

Internal catalogs are often viewed on clunky and hard-to-navigate interfaces. This causes a significant lack of insights that can be gained into products that are grouped by certain criteria, such as brands, attributes, manufacturers, and any other facet your business demands.

A rose by any other name would smell as sweet, that's what the bard said. And a hammer, even when called a mallet, would pound just as well. Find out how dataX can intelligently pick such functional equivalents from internal catalogs as well as external sources.

With a high accumulation of products, taxonomies might not be as well maintained as companies would like them to be. This is not a mere organizational issue, this can lead to a major loss for companies if not audited and optimized.

Smart Product Grouping on eCommerce sites can drive conversion rates very effectively, in a manner similar to strategic product placements on a brick and mortar store shelf. This is also a great way to bundle high-margin accessories with a big purchase.

Product Data Enrichment is frequently confused with CRM Enrichment. While both are crucial for B2B eCommerce companies, the difference in a nutshell is this - CRM enrichment deals with getting data on who is buying the product, whereas Product Data Enrichment is about what that product is.

Supplier data comes with its own challenges - different sources, structures, formats. A lot of manual effort is required to put it in a format that can easily be onboarded into target systems. dataX.ai's Supplier Connector is the perfect assistant you need!

Companies who deal with data at a huge scale find quality-control challenging. This is where they entrust companies such as dataX.ai with their data, where we ensure its standardization, organization, validation, enrichment and make it your ingle source of truth.

Annotation of data provides the necessary context and meaning to large datasets. Pretrained ML models can extract valuable data points to carry out this mammoth task, while also ensuring that all data, regardless of its format, is processed efficiently

Data from multiple sources, multiple suppliers, all in their own native structures can cause massive disruption in operations because your systems are designed to handle data in your native structure. Imagine if all this data could be instantly mapped to one unified standard! Pre-trained machine learning models from dataX.ai make it possible to efficiently automate this process for millions of SKUs!

Stocking the right assortment of products based on diverse factors such as customer preferences, geographical location, season (among others) plays a crucial role in selling products effectively. An even more crucial factor is dynamically updating the assortment mix using a data driven approach. Specifically, data that throws light on products that are missing from catalog, but that are present in a competitor’s or in the supplier’s catalog. Identifying and fixing Assortment Gaps can make a great difference to revenues.

The primary challenge in extracting fields from invoices lies in the extreme variability in invoice formats, structures, and data presentation. The nuance lies in overcoming the chaos of unstructured data within a semi-structured document. A combination of sophisticated AI/ML models that understand both text and layout, careful handling of variability, and often, a pragmatic HITL approach is required to reach the necessary acuracy levels.

dataX.ai’s de-duplication model can be applied to both small and large scale data sets, which allows a variety of businesses to clean up anomalies in their data and successfully compete in the market.

Auto-classification model not only ensures seamless data management, its ripple effect also includes better product visibility. Accurate classification into attribution taxonomies leads to an improvement in the accessibility of the product, which in turn would aid user experience, especially on e-Commerce websites.

Functional equivalent analysis opens new horizons for your business, showing you that it’s time to start thinking in functions, not features. Our solution is far more than simply comparing products – it’s an edge that your business acquires over your competitors.

Automating your supplier onboarding process isn’t just a convenience — it’s a strategic move. With consistent, enriched, and instantly accessible supplier data, you can power your systems, teams, and customer experience at scale.

Competitor price monitoring is more than just watching numbers; it’s about making smarter decisions across your product strategy. Competitive intelligence gives your business the edge it needs to grow, ranging from assortment planning to pricing and positioning.

Businesses face a daunting challenge in continuously and accurately classifying products under the Harmonized Tariff Schedule (HTS). With thousands of codes and ever-evolving regulations, manual classification is error-prone, time-consuming, and unscalable. Read how AI augmentation is changing the game.

Not all PDFs are created equal. Some contain neatly organized text, while others are riddled with complex layouts, multi-column designs, images, and tables. Choosing the right data extraction tool is critical to automate workflows, reduce errors, and scale operations.

DLaaS is the strategic outsourcing of tagging, categorizing, and enriching raw product data using AI-driven systems. DLaaS combines machine learning, natural language processing (NLP), and computer vision to turn unstructured data into actionable insights.

In eCommerce, visibility isn’t just about being seen—it’s about being seen by the right people, in the right context. A well-structured taxonomy acts as a silent salesperson, guiding customers to products while whispering the right keywords to search algorithms.

AI is revolutionizing data extraction by enhancing pattern recognition, improving OCR capabilities, processing structured and unstructured data, employing machine learning techniques, and utilizing NLP for complex data parsing. As AI continues to evolve, its impact on data extraction will only deepen, enabling organizations to harness the full potential of their data and drive innovation across industries.

The significance of functional product equivalents extends beyond consumer benefits; they are vital for businesses striving to meet varied demands and adapt to changing market trends. As companies recognize the value of these equivalents, they can enhance their product lines and reach broader audiences, ultimately driving growth and customer satisfaction.

Our SOC 2 certification is a significant milestone that underscores our unwavering commitment to security, privacy, and operational excellence. It validates that our systems and processes not only meet rigorous security and privacy standards but also operate effectively over time.

Enriched product data directly impacts the customer experience. When buyers can access clear and accurate information, they're more satisfied, resulting in fewer returns and increased loyalty. The excellent combination of informed customers and happy customers leads to repeat customers.

Creating a compelling digital product catalog requires a careful balance of aesthetics, functionality, and user experience. By applying these concise tips, you can craft a catalog that not only showcases your products effectively but also engages and converts your audience into loyal customers.

Analytics of supplier data on distributor websites isn't just a practice; it's a strategic advantage. By ensuring data consistency, accuracy, and enriched content views, you're not just enhancing customer experiences; you're orchestrating a symphony of precision that resonates throughout the entire supply chain, fostering trust and driving success.

Effective Product Catalog management is crucial for businesses of all sizes, from startups to established enterprises. It involves organizing and presenting products or services in a structured manner, and is the first step towards an organized, efficient, and customer-centric future.