Thank you for sharing your experience! Great to see how AI and PIM are driving real impact in the dairy sector. Wishing you continued success in empowering farmers through tech!
]]>At Gau Sampurna, we’re committed to empowering dairy farmers across India through technology. Our platform offers AI-driven cattle health assessments, online veterinary consultations, and access to high-quality products, all aimed at improving livestock health and boosting milk production.
Implementing a robust PIM system has been instrumental in ensuring our product data is AI-ready. By maintaining consistent naming conventions, comprehensive metadata, and structured information, we’ve enhanced our AI models’ ability to provide accurate and personalized recommendations to our users.
It’s inspiring to see how PIM systems can bridge the gap between raw data and actionable AI insights, ultimately leading to more efficient and effective solutions across various industries.
]]>Pleasure! I had acted on suggestions; SPE command snippets are available as GitHub public gist Snippets of SPECommands WorkingWithItemAndRenderings. This blog is in continuation with my previous blog Sitecore XM Cloud Content Migration: Plan and Strategy where I had provided import script, we always had created the data source first and assigned those to rendering items thus error-handling is implemented.
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