Automated Product Onboarding
Unlock unprecedented capabilities in Automated Product Onboarding through AI Computer Vision.
AI Computer Vision Capabilities In Automated Product Onboarding

Image Recognition
Utilise computer vision algorithms to automatically recognise and categorise product images uploaded by sellers.

Attribute Extraction
Extract key product attributes such as colour, size, brand, and style from product images using computer vision techniques.

Quality Assessment
Automatically assess product image quality to ensure clarity, consistency, and compliance with platform standards.

Barcode and Text Recognition
Employ computer vision to read and interpret product barcodes and text information for accurate cataloguing.
The Value Of Applying AI Computer Vision To Automated Product Onboarding
Time Savings
Automating the product onboarding process significantly reduces manual data entry time, leading to faster and more efficient workflows.
Improved Accuracy
Computer vision-based automation minimises human errors in product categorisation and attribute extraction, ensuring accurate and consistent product listings.
Operational Cost Reduction
By reducing the need for manual intervention and data entry, automation lowers operational costs associated with product onboarding.
Enhanced User Experience
Faster product onboarding means a more extensive product catalogue, providing shoppers with a broader selection and improving overall user experience.
Tuba.AI: Your Gateway To Build AI Vision Models Effortlessly
Tuba.AIÂ stands as your one-stop platform for every stage of AI computer vision model development. From seamlessly labelling data images to efficient training processes and straightforward deployment, Tuba.AIÂ empowers you to build robust models to automate the product onboarding process.
By leveraging Tuba.AI‘s capabilities, e-commerce providers can – for example – train an AI computer vision model that will help identify new products that are onboarding, and recognise its various attributes, to automatically update product listings with accurate information.