About the Client
It is an e-commerce company. The company focuses on online sales of products such as consumer electronics, fashion, home essentials, groceries, and lifestyle products.
Client Requirements
- Required accurate and standardized product attribution that enables optimal merchandising across the eStore.
- Recognize all the existing sources of product information, identify missing, incomplete, inaccurate and irrelevant entries and clean the database to finally consolidate all the product data
Challenges
- Identifying all the disparate sources of product information, standardizing the information across all sources, enabling easy update along with radiating that information out to customers via retailer's website, eCommerce marketplaces, etc.
- In cases of custom product attributes, there were wide discrepancies, primarily along taxonomy terms, list of colors, and other textual options, bringing in results with incorrect descriptions, images, prices, and promotions, etc, Even similar products were assigned non-similar attributes/values.
- Manage product data within a restricted time-frame.
Solution
- Gathered all the required and relevant product information and analyzed discrepancies.
- Classified, cleaned and standardized the product data to ensure accuracy and consistency.
- Standardized Product Code, manufacturer, color, dimensions for each product.
- Used cataloguing.ai tool for creating catalogues as per the attributes.
Result
- Accurately done categorization attribute wise of 6000+ products and maintained data consistency, increased sales and generated revenue.
- Reduced discrepancies and achieved accuracy above client’s benchmark 95.00% and saved their time spent in managing the dataset.
- Improved customer's shopping experience with quality product content.