Blogs & case studies

AI-powered shelf audits are transforming mystery shopping! Generative AI can analyze images to automate product identification, pricing verification, and promotion compliance, all in real-time. Human oversight ensures accuracy, while handling edge cases like packaging changes and seasonal SKUs. It is helping auditors and mystery shoppers streamline operations, boost compliance, and maximize shelf impact - all while managing costs.

Generative AI (combined with human-in-the-loop) is transforming mystery shopping - delivering accurate and unbiased data, real-time insights, and scalable operations. DataPure is helping market researchers optimize processes, reduce costs, and enhance customer experience like never before.

Bad data undermines AI, but Human-in-the-Loop (HITL) bridges the gap! By combining human expertise with AI models, DataPure is helping ensure accurate data curation, bias reduction, and scalable model performance. Smarter AI starts with better collaboration.

Polygon segmentation offers precise, pixel-level object annotation, outperforming bounding boxes in accuracy and versatility. DataPure is combining AI annotations with human intervention to ensure scalability, accuracy, and to manage cost.

From monitoring safety protocols to detecting potential hazards, Vision AI coupled with DataPure’s Human-in-the-Loop (HITL) offers a proactive, real-time solution to workplace safety.

DataPure is helping make mystery shopping more scalable, actionable and efficient for its customers. We’re using an automation + human-in-the-loop (HITL) workflow to extract information from images faster and more accurately.

Integration of HITL into AI models ensures better efficiency and accuracy. This reduces the scope of errors in stocking, labelling, and positioning of on-the-shelf items.

Case study on retail robotics

Monitoring is a Must