Lanza Estudio
AI & Bots

The dirty data chaos: AI to Normalize and Structure B2B Catalogs (PIM)

Maria

Maria

Senior Engineer & AI Specialist

"As an AI Specialist, I find it maddening to see B2B distributors and wholesalers losing months of sales because their team is stuck cleaning supplier Excel files by hand. Normalizing thousands of chaotic attributes, colors, and categories to upload them to the ERP is slave labor. I build AI-powered data pipelines (using ultra-efficient models like Gemini 2.5 Flash) that ingest your manufacturers' raw feeds, clean and structure the data automatically, and unify your PIM in minutes so you can sell without delays."

Does your distribution company delay launching new brands because your team wastes weeks cleaning and unifying chaotic supplier Excel files?

When you are a B2B wholesaler, your catalog is fed by dozens of manufacturers. The problem is that each one sends data their own way: one calls the color "White", another "WHT", and another "Snow White". Categories don't match, and descriptions are a disaster. Uploading this garbage data to your ERP or e-commerce destroys your clients' search filters. To avoid this, you have qualified staff doing the robotic work of aligning columns and correcting attributes by hand, blocking your commercial expansion.

The trap of Excel Macros and Static Rules

To try to automate this, some IT staff create complex macros or rigid rules in their PIM software. However, these formulas break as soon as the supplier changes a comma in their template or adds a new column. Trying to organize the chaotic human language of a hundred suppliers with static Excel rules is a losing battle that suffocates your logistics.

Our solution: AI Catalog Normalization Engine

At LANZA ESTUDIO, we transform digital garbage into ready-to-sell data. We deploy semantic Artificial Intelligence engines (optimized with Gemini 2.5 Flash for its high speed and low cost) that read, interpret, and structure any product list regardless of its format.

  1. Raw Data Ingestion: We connect the system to absorb any file (CSV, XML, or JSON) from your suppliers, no matter how messy the text is.
  2. Semantic Normalization: The AI understands context and unifies values. It transforms variations like "10 cm", "100 mm", or "0.1 m" into a single standard for your database.
  3. Automatic Classification (PIM): The model analyzes the item's name and description to autonomously assign it to the exact category tree of your online store.
  4. Clean File Generation: The bot consolidates all the information and returns a perfect master file, ready to be imported into your ERP without generating errors or duplicates.

The Real Impact on your B2B Operations

  • Immediate Time-to-Market: You reduce the integration time of a new supplier from several weeks to less than an hour, putting products up for sale instantly.
  • Flawless Search Experience: By having standardized attributes, your e-commerce filters work flawlessly, helping your clients find and buy more easily.
  • Radical Operational Efficiency: You completely eliminate the manual data entry work, allowing your team to focus on sourcing better prices and suppliers.
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