AirTable has shared an update.
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The company highlighted a case study featuring eBay, which uses Airtable’s platform to manage more than one million pieces of customer feedback across its global ecosystem. According to the post, eBay replaced fragmented tools with Airtable’s AI-enabled workflows to automate translation, categorization, and synchronization of feedback data with Jira, shifting from a months-long manual triage process to a near real-time insights system.
For investors, this update underscores Airtable’s traction with large enterprise customers and its positioning as an AI-native workflow and data orchestration platform. Demonstrated use at a major global marketplace like eBay suggests that Airtable’s solutions can scale to high-volume, complex environments, which may support higher enterprise adoption, improved customer retention, and expansion opportunities through larger contracts and cross-functional deployments. The emphasis on AI-driven automation and integration with existing tools such as Jira also reinforces Airtable’s relevance in the competitive low-code/no-code and workflow automation markets, potentially strengthening its competitive moat and long-term growth prospects.