📊💡 Retail Use Cases for Tabular Foundation Models - Episode #2
Let's dive into real-world challenges our clients solve with Neuralk AI 🧠

📦 Product categorization might seem simple, but in Retail, it’s anything but.

When your catalog includes thousands or millions of product references and hundreds of nested subcategories, placing each item in the right spot becomes a massive operational challenge. To face this challenge, most commerce organizations rely on manual categorization, a process that’s time-consuming, error-prone, and a real bottleneck for time to market.

🔍 At Neuralk AI, we help all types of commerce organizations, from top tier retailers to solution providers, tackle this challenge at scale by developing the first Tabular Foundation Models for Commerce. Our models learn from your existing data (attributes, reviews, campaigns...) and act as an agent to automatically assign each product to the most relevant category with a human-validated accuracy rate above 97%.

This means:
🚀 Faster time-to-market: new SKUs go live in hours, not weeks, unlocking additional sales opportunities and reducing missed revenue from delayed listings.
📈 Higher conversion rates: shoppers enjoy a smoother experience with more relevant search results and recommendations, helping them find the right product for their needs.

Want to learn how our models can boost your business performance and support your AI transformation goals? Let’s connect.

#RetailTech #StructuredData #ProductCategorization #AIinRetail #EcommerceOptimization #TabularAI #NeuralkAI

🔍 When Structured Data Goes Wrong: Real Issues in Retail E-commerce

Take a look at this real example from an e-commerce platform:
These two products are mismatched: one is titled “Dark Blue T-Shirt” but clearly appears white, and the other is titled “Yellow T-Shirt” but is shown in blue.

➡️ A simple error? Maybe.

But in reality, it's a data problem with major consequences.
Inaccurate or inconsistent tabular data such as product titles, colors, or categories can lead to poor search results, frustrated customers, and lost revenue.

At Neuralk AI, our embeddings are specifically designed for tabular data. They don’t just capture the semantic meaning of your data, they also capture the underlying structure of it, enabling rich, expressive representations of products for more accurate classifications.

This enables any commerce organization to automatically detect and correct anomalies, ensuring clean and enriched product catalogs.

Our Tabular Foundation Model is purpose-built to address the real-world challenges of commerce, and it's already delivering results. If you work with structured data like product catalogs, customer lists, or transaction histories, we’d love to connect.

👉 Get in touch to try our beta.

#Commerce #TabularData #StructuredData #AI #CatalogCleaning #ProductData

📊💡 Retail Use Cases for Tabular Foundation Models - Episode #1
Let's dive into real-world challenges our clients solve with Neuralk AI 🧠

🧹 Duplicate products, the hidden cost sink in Retail :

Messy catalogs filled with near-identical product entries might seem like a minor issue. But in Retail, duplicate product data can silently drain millions in lost revenue and operational efficiency.

These duplicates can creep in from everywhere: human error, outdated integrations, third-party feeds, or legacy migrations.

The impact?
Confused customers, broken search experiences, and slow product launches.
At Neuralk AI, we tackle this problem at scale by building tabular embeddings, designed specifically for commerce products.

🔍 Our models don’t just rely on surface-level similarities. They go beyond basic text matching to capture the true meaning behind product entries, even when titles, EANs, or attributes are missing, inconsistent, or look different.

Thanks to the power of our Tabular Foundation Model, we leverage not only the semantic information (what product title and/or description mean) but also the structural information which lies in the relationships between different product attributes within your structured data (what products really are).

⚙️ The result? Product catalogs automatically and perfectly cleaned from duplicates, enhancing user experience to drive higher sales, while also streamlining stock management and operational efficiency.

When your structured data works for you instead of against you, better decisions and better business follow.

💬 Curious how our embeddings can boost your product catalog quality? Let’s talk.

📚 More use cases to follow in the coming weeks. Follow us to discover all the potential of Tabular Foundation Models for Commerce!

#Retail #StructuredData #DataQuality #DuplicateDetection

📊💡 Retail Use Cases for Tabular Foundation Models - Episode #1
Let's dive into real-world challenges our clients solve with Neuralk AI 🧠

🧹 Duplicate products, the hidden cost sink in Retail :

Messy catalogs filled with near-identical product entries might seem like a minor issue. But in Retail, duplicate product data can silently drain millions in lost revenue and operational efficiency.

These duplicates can creep in from everywhere: human error, outdated integrations, third-party feeds, or legacy migrations.

The impact?
Confused customers, broken search experiences, and slow product launches.
At Neuralk AI, we tackle this problem at scale by building tabular embeddings, designed specifically for commerce products.

🔍 Our models don’t just rely on surface-level similarities. They go beyond basic text matching to capture the true meaning behind product entries, even when titles, EANs, or attributes are missing, inconsistent, or look different.

Thanks to the power of our Tabular Foundation Model, we leverage not only the semantic information (what product title and/or description mean) but also the structural information which lies in the relationships between different product attributes within your structured data (what products really are).

⚙️ The result? Product catalogs automatically and perfectly cleaned from duplicates, enhancing user experience to drive higher sales, while also streamlining stock management and operational efficiency.

When your structured data works for you instead of against you, better decisions and better business follow.

💬 Curious how our embeddings can boost your product catalog quality? Let’s talk.

📚 More use cases to follow in the coming weeks. Follow us to discover all the potential of Tabular Foundation Models for Commerce!

#Retail #StructuredData #DataQuality #DuplicateDetection

🌟 Welcome Mirakl 🌟

We’re thrilled to collaborate with Mirakl, the leader of the AI-powered marketplace revolution. Together, we share a common ambition: reshaping the future of Commerce through cutting-edge innovation.

At Neuralk, we develop state-of-the-art embeddings tailored for commerce tabular data, unlocking high-impact use cases.

And when you partner with a company like Mirakl, the impact speaks for itself: from surpassing $177M in ARR to launching bold new plays in retail media, their momentum is as inspiring as it is strategic.

🙏 A big thank you to Philippe Corrot, Nagi Letaifa, Arthur Delaitre, Milton Minervino, Remi T. and Anne-Claire BASCHET for making this collaboration possible.

This is just the beginning of our journey. Excited to see what comes next ! 🚀

#AI #NeuralkAI #Mirakl #Marketplace #Tabulardata