Algorithms can take over the process of comparing items against each other and tracking their performance in various situations, even making suggestions to support key business decisions. This significantly cuts costs by reducing errors in inventory management and avoiding situations of excess or insufficient stock.
Product recognition is a challenging area that offers great financial promise. Automatically detected product attributes in photos should be easy to monetize, e.g., as a basis for cross-selling and upselling.
Modules that analyse behavioural action of shoppers are essential for theft reduction. We do pose estimation of shopper’s using key points and bounding boxes to train these modules.
Machine learning can help to effectively integrate all the product tracking information available to retailers while providing customers with a personalized shopping experience.
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Our experts define strategic business objectives and outcomes of the project
Data is collected using various technologies with inhouse expertise as per requirement
The team is trained & annotations are performed to extract meaningful insights for training AI
The data goes through stringent quality checks and sent for final deployment to meet the threshold accuracy
