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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.
The Intellekt Approach
Intellekt 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.
Result From The Customer
Accurate annotation ensured that waste materials were identified and labelled properly, thus helping the company build training data to train their machine learning models. By combining computer vision, machine learning, and artificial intelligence, the company was able to synchronize sorting and picking up recycled materials.
Services Provided
RPA
Process Improvement
Number of Products
%