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Why structured business data is becoming more important in an AI-driven economy
Gartner says more than 80% of enterprises will use generative artificial intelligence by 2026, but fragmented data still causes oversells and stockouts.
- AI agents can become the backbone of e-commerce operations if fed structured business data including clean product information, real-time inventory counts, standardized pricing, and unified order histories, according to unified commerce platform DigitBridge.
- Gartner predicted more than 80% of enterprises would deploy generative AI applications by 2026, yet most platforms were built for unstructured data while e-commerce requires clean operational information scattered across isolated channels.
- Without standardized labels, a product listed as "Navy Shirt Large" on one site and "BLU-LS" on another appears as two different items to machines, while multi-channel retailers lose 5% to 15% of annual revenue to overselling and stockouts.
- When data fails to sync across systems, the entire business breaks, leaving wholesalers managing multi-tiered hierarchies and legacy ERPs particularly vulnerable despite AI-powered tools' promise of cost reduction and efficiency.
- Supporting AI adoption requires three core elements: unified data infrastructure creating a single source of truth, standardized real-time business data across all channels, and interoperability reducing manual intervention.
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41 Articles
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Why structured business data is becoming more important in an AI-driven economy
DigitBridge reports that in an AI-driven economy, e-commerce businesses must prioritize structured data to enhance operations and avoid costly errors from data fragmentation.
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Total News Sources41
Leaning Left5Leaning Right1Center34Last UpdatedBias Distribution85% Center
Bias Distribution
- 85% of the sources are Center
85% Center
13%
C 85%
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