Saarthi accelerates the training process of AI models, allowing you to detect new or unknown SKUs on the shelves within 48 hours, while delivering over 95% accurate shelf KPIs consistently.
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Need for large datasets: Effective training in traditional image recognition projects demands extensive datasets, or dependency on pre-existing master data, necessitating a substantial investment of time and resources.
Manual intervention: Manually labeling photos for training is a time consuming and error-prone that adds complexity to the project setup.
Human dependency: Attaining peak accuracy in AI models involves frequent human intervention, resulting in it being a resource-intensive process and restricting scalability of the IR platform.
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