Author: Indranil
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Festive Season Ready: How to Use Human-in-the-Loop to Perfect Your Product Catalog
Quick Overview This blog explains why Human-in-the-Loop (HITL) is essential for e-commerce catalog management during festive mega-sales. It shows how combining AI scale with human accuracy ensures compliance, discoverability, and resilience under 10–12x festive velocity. Key points include: Introduction: India’s festive quarter (September–November) is the growth engine of e-commerce. Cultural moments like Diwali, Durga Puja,…
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Top 5 Challenges in eCommerce Product Categorization (and How HITL Solves Them)
Quick Overview This blog explores the challenges in eCommerce product categorization and how Human-in-the-Loop (HITL) solutions can address them. It highlights how HITL enhances AI-driven categorization by providing human expertise to solve issues like vague descriptions, inconsistent metadata, and evolving taxonomies. Key points include: Introduction: eCommerce product categorization is the process of organizing products into…
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Choosing Between Data Annotation and Labeling What Your AI Model Really Needs
The global data annotation, labeling, and service market is undergoing explosive growth, valued at ~USD 6.5 billion in 2025, and projected to grow at a CAGR of ~25% over the next five years. Depending on the segment, it is expected to reach 19.9 billion by 2030—source – Mordor Intelligence According to industry reports, up to…
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How HITL Improves eCommerce Search Relevance
How HITL Improves eCommerce Search Relevance We often think eCommerce search relevance is just another function that helps with product discovery. However, given that eCommerce is a highly competitive industry, search relevance is the function that can make or break a user’s shopping experience. According to a Forrester report, 43% of retail shoppers head directly…
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Experts-in-the-Loop The Future of High-Precision AI Systems
As we move beyond automation and into augmentation, AI is evolving from task-doer to decision-maker – from detecting diabetic retinopathy to deploying drones that sense wildfires ahead of time yet one principle stands firm: technology is only as precise as the human expertise guiding it; AI systems don’t learn autonomously. They require structured human input,…