GS1 India unveils a study quantifying the economic impact of poor product data quality in India’s e-commerce ecosystem. Titled ‘Uncovering the Hidden Cost of Poor Product Data in Indian E-Commerce,’ the report estimates that inconsistent, incomplete, and inaccurate product information is leading to approximately ₹5,000 crore in annual revenue losses across India’s e-commerce and quick-commerce landscape.
Launched at the GS1 India Forum 2026 in Mumbai, the study developed in collaboration with Kanvic Consulting presents an economic assessment of product data governance in the country’s digital commerce sector.
The findings reveal that poor product data quality results in nearly ₹2,000 crore in gross margin erosion and approximately ₹1,900 crore in return-related costs, highlighting financial exposure across the value chain. Based on a top-down economic model anchored in India’s 2025 e-retail GMV, supported by SKU-level analysis and industry interviews, the report identifies systemic gaps rather than isolated operational lapses.
According to the study, deficiencies in product attributes, images, descriptions, logistics data, and compliance disclosures directly affect discoverability, conversion rates, fulfilment efficiency, regulatory adherence, and customer satisfaction.
Category-level analysis shows:
FMCG and Food contribute the largest absolute margin impact due to high transaction volumes.
Fashion Apparel and Accessories account for disproportionately high return-related costs.
Beauty and Personal Care categories demonstrate strong margin sensitivity to data inaccuracies.
Healthcare carries elevated compliance risks despite a relatively smaller scale.
The report also underscores the increasing influence of customer ratings and reviews, noting that inaccurate product information erodes consumer trust, weakens brand credibility, and impacts long-term demand.
Speaking on the findings, S Swaminathan, CEO, GS1 India said, “High-quality product data is no longer an operational detail – it is a strategic growth lever for India’s digital commerce ecosystem. By strengthening data governance and standardisation across the value chain, businesses can unlock meaningful revenue, improve customer trust, and build more resilient, scalable commerce models,”
Deepak Sharma, CEO, Kanvic Consulting said, “High-quality product data is no longer an operational detail – it is a strategic growth lever for India’s digital commerce ecosystem. By strengthening data governance and standardisation across the value chain, businesses can unlock meaningful revenue, improve customer trust, and build more resilient, scalable commerce models,”
The study calls for coordinated ecosystem action. It recommends that brands treat product data as strategic infrastructure, marketplaces move from reactive enforcement to proactive enablement through standardisation and validation mechanisms, and regulators align compliance frameworks with interoperable global standards and common product identification systems.
The report was formally unveiled during GS1 India Forum 2026, held under the theme ‘The Next Wave: Agile, Circular and Data-driven.’ The forum convened leaders from retail, healthcare, pharmaceuticals, agriculture, and supply chain sectors to deliberate on artificial intelligence, next-generation barcodes, traceability, smart packaging, and digital transformation.
The inaugural session featured keynote and special addresses from industry leaders including Jeyandran Venugopal, President and CEO, Reliance Retail Ventures; Ravi Kapoor, Partner and Lead – Retail and Consumer Sector, PwC India; and N. Dayasindhu, Co-founder and CEO, Itihaasa Research and Digital.
With this study, GS1 India positions product data governance as a foundational pillar for the next phase of India’s digital commerce growth—moving the conversation beyond operational accuracy to economic impact, competitiveness, and long-term sustainability.
