Product Catalog Automation for Wholesale Distributors

Brainova processes products in parallel as background jobs. You can upload and research tens of thousands of SKUs in a single batch — the system queues them and works through the catalog continuously. There is no practical limit on catalog size. Progress tracking shows how many products are researched, enriched, and ready to publish at any point.

Yes. Brainova accepts CSV and spreadsheet uploads, which is how most ERP and WMS systems export product data. You map the columns from your export to Brainova fields using a drag-and-drop mapping interface. Once you set up a mapping preset for a supplier or system, you can reuse it for every future import — no re-mapping each time.

Different suppliers send data in different formats — different column names, different units, different barcode standards. Brainova's smart field mapping lets you create saved presets per supplier. Each preset remembers how to map that supplier's specific columns, normalize their units, and handle their barcode format. Upload a new file from that supplier and the preset applies automatically.

Yes. The AI dimension estimation engine analyzes product type, category, brand patterns, and similar products in your catalog to estimate length, width, height, and weight. These estimates are critical for LTL freight calculations and pallet planning. Every estimate includes a confidence score so you can prioritize manual verification for high-value or oversized items.

Brainova uses AI to analyze product attributes — title, description, brand, specifications — and assign categories automatically. If you use a line code system or internal taxonomy, you can define mapping rules that translate your codes to e-commerce categories. The system learns from your corrections over time, improving categorization accuracy across your catalog.

Yes. The research pipeline's first stage searches official brand stores using SKU or barcode lookups. Brainova supports 95+ brands with pre-configured API connections. When a brand store match is found, the system pulls official descriptions, images, and specifications — the most accurate data available. New brand connections are added regularly.

Currently, Brainova publishes to Shopify and Shopify Plus, including the B2B wholesale channel. Products, variants, images, collections, tags, and metafields all sync via the Shopify Admin API. Two-way webhooks keep data consistent between Brainova and your storefront. Support for additional B2B platforms is on the roadmap.

After initial import and mapping (typically 1-2 hours for a new supplier format), the AI research and enrichment pipeline processes products in parallel. A batch of 10,000 SKUs typically completes research within 24-48 hours depending on product types and brand coverage. Products that meet your quality threshold can auto-publish as they are enriched — so your storefront starts populating within hours, not weeks.

Yes. Many distributors are launching their first B2B web store and have zero e-commerce-ready product content. Brainova handles the entire content creation process — from a bare SKU list with barcodes, the AI generates descriptions, finds images, estimates dimensions, and creates complete product listings. You do not need existing product content to get started.

The AI analyzes product titles, descriptions, and specifications to identify variants — size, color, voltage, material, pack quantity. Related SKUs are automatically grouped under a parent product with shared descriptions and images. You review and approve groupings before publishing. This is especially valuable for distributors carrying hundreds of variations per product line.