Data Annotation and Labelling – How HITL Enhances Accuracy in AI Model Development
How Many Data Annotators Do You Actually Need? A Benchmark of 20M+ Monthly Annotations Across LiDAR, Video & Geospatial Projects
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41M+
Number of Transaction
99.9%
Accuracy Level
About the Customer
This customer is the largest American Multinational Retail Corporation that operates a chain of hypermarkets selling a wide variety of general merchandise at low prices. The company’s vision is to be the preferred shopping destination with the lowest prices. Their primary goal is to provide customers with “everyday low prices”.
Problem
To be the lowest price leader in the market, they needed their products to be priced lower than all their competitors, know the market and gauge how their competitors are faring and also have accurate and updated product information on their catalogue . They also wanted to improve their overall digital product presence to improve their online user experience. Quality of model training is significantly critical to deliver a world-class customer experience. With this in mind, they looked to us for Model Training and Catalogue Enrichment services.
Approach
NextWealth, as a leader in digital data services and a thinking partner to its customers, helped prepare data for their ML algorithms, validated the output and provided detailed insights and analysis that ultimately helped enhance their pricing strategies, improve their Catalogue content and user experience of their online customers.
Results
Improving the accuracy of their ML algorithms by 3x and reducing the operational cost to a tune of 60% made NextWealth a true partner in achieving their mission. Over the last eight years, the customer is delighted with the quality delivered.
Services Provided
Model Training and Validation
Competitive Intelligence
Search Relevance
Title Enrichment
Attribute Curation
Catalogue Cleansing
Product Classification and Tagging
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Data Annotation and Labelling – How HITL Enhances Accuracy in AI Model Development
Data Annotation Accuracy Benchmarks 2026: 95–100% Quality Rates Across Computer Vision, Trust & Safety, and Generative AI
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