• 8 Sep, 2025
• by Datanitial

Product Feature Mapping for eCommerce & Digital Shelf Analytics

Client Background

Our client, a leader in digital shelf analytics and eCommerce data solutions, specializes in price monitoring, competitor benchmarking, and product performance insights across global marketplaces. Their customers—ranging from FMCG to Nutrition and Household brands—rely on accurate, structured data to drive growth in the digital shelf era.

Challenge

The client struggled with unstructured and inconsistent product data across major eCommerce platforms like Amazon, Shopee, Lazada, and Flipkart.

Key issues included:

• Varying representations of product attributes (pack size, number of washes, flavour, etc.).
• Difficulty in conducting cross-platform competitor benchmarking.
• Inability to perform Price-Pack Architecture (PPA) analysis reliably.
• Challenges in portfolio optimization and assortment analysis.

Our Approach

We deployed a hybrid product attribute mapping solution combining automation and human expertise:

1. Data Collection – Ingested client-provided URLs from Amazon, Shopee, Lazada, Flipkart, and others.
2. Attribute Extraction – Reviewed product titles, descriptions, images, and breadcrumbs to identify critical attributes.
3. Standardization – Mapped data using client taxonomies and attribute definitions for uniformity.
4. Validation – Implemented a two-layer QA check to ensure accuracy.

Solution

We standardized attributes such as Category, Sub-Category, Brand, Pack Size, Number of Washes, Quantity (ml, kg, capsules), and Flavour—delivering a clean, structured dataset for analytics and reporting.

This enabled the client to compare products across platforms with consistency and reliability.

Impact & Results

• Standardized 10,000+ SKUs across 5+ categories (Laundry, Nutrition, Skincare, FMCG, Household).
• Delivered accurate competitor benchmarking across platforms.
• Provided PPA insights (price per wash, capsule, or ml).
• Enabled portfolio gap analysis and digital shelf optimization.
• Reduced manual data handling time by 40%, allowing faster insight delivery.

Conclusion

Product Feature Mapping is a critical enabler for brands and analytics providers in the eCommerce space. By transforming raw, unstructured product data into standardized, insight-ready datasets, we empower FMCG, Nutrition, and Household brands to optimize their pricing, assortment, and digital shelf performance.

Our Product Attribute Mapping services deliver scalable, accurate, and reliable solutions for eCommerce analytics, competitor tracking, and price monitoring.