AI Product Recognition: warehouse without barcodes
Barcodes are a great invention — when they work. In practice, barcodes get damaged, go missing, don’t match the internal catalog or are on the inconvenient side of the packaging.
Where traditional scanners fail
- Receiving visually unlabeled goods — supplier hasn’t sorted out barcodes
- Damaged labels after transport or storage
- Internal stock transfers between zones — packaging without a label
- Stocktaking of small items in boxes without stickers
- Returned goods — label removed by the customer
How AI recognition works in Modulario
Goods receiving
- Warehouse worker opens the mobile app, selects “Goods Receiving”
- Takes a photo of the box / product packaging
- AI identifies the product (typically < 2 seconds)
- Worker confirms the quantity
- Receipt posted — stock updated
No catalog searching, no manual code entry.
Stocktaking with a camera
For fast stocktaking, the warehouse worker walks through zones photographing shelf contents. AI recognizes multiple products at once from a single photo (multi-object detection) and suggests piece counts.
Stocktaking a 500-item warehouse: down from 8 hours to 2 hours.
Dispatch and verification
Before shipping a parcel, the worker photographs the contents. AI compares with the order — if anything is missing or extra, an immediate alert fires. Eliminates incorrect shipments.
Training on your products
The AI model is fine-tuned on your product catalog at deployment:
- Upload photos of each product (3–5 photos, different angles)
- Initial training: 2–3 working days
- After deployment: model continues learning from daily use
For catalogs up to 500 SKUs, recognition accuracy after training is 92–96%.
Who benefits most
- Wholesalers with diverse goods lacking consistent coding
- Manufacturing companies with internal materials without EAN codes
- High-return warehouses (e-commerce fulfillment)
- Food warehouses with fast rotation and short expiration dates
