When product information is scattered across multiple systems, e‑commerce businesses lose brand trust, face slower fulfillment and give competitors an edge. In today’s economy, shoppers and B2B buyers alike rely on accurate, transparent data to feel confident in their purchases.
Why Data Quality Matters
A recent GS1 white paper shows that 63% of industry decision‑makers reported tangible improvements—such as smoother inventory management and more efficient distribution—after streamlining data sharing. The study also highlighted Target’s evolution: from four data‑quality staff in 2015 to more than 20 a decade later, emphasizing centralization and human accountability.
Consumer Confidence in an Inflationary Climate
With inflation affecting 80% of shoppers, 71% say they scrutinize food‑label data more closely when spending more at checkout. Transparent, high‑quality product data helps alleviate buyer concerns, especially for higher‑priced items, and can turn that trust into sales.
B2B Benefits and Revenue Impact
For B2B transactions, the stakes are higher. McKinsey data shows that typical B2B buyers use an average of ten channels during the sales funnel, and more than half want a smoother experience across those channels. E‑commerce already accounts for 34% of total sales, while in‑person sales represent only 17%. Moreover, 73% of B2B buyers would comfortably spend over $50,000 digitally, 39% would exceed $500,000, and 20% would go beyond $1 million.
From Back‑Office Task to Growth Engine
High‑quality product data has shifted from an IT‑only concern to a strategic asset that fuels commercial growth. Whether a budget‑conscious consumer checks a label or an enterprise buyer navigates a multi‑hundred‑thousand‑dollar procurement, data fidelity serves as the proxy for brand trust.
Looking Ahead
As digital channels become the primary revenue source for modern enterprises, companies that treat product data as a strategic foundation will outpace competitors in operational agility, conversion rates and long‑term brand loyalty. The gap between data‑mature businesses and those relying on fragmented legacy systems is set to widen, making investment in standardized, centralized product data management essential for future scalability.
Original reporting: KTVZ (Central Oregon) — read the source article.
