What 18,000 SKUs teach you about portfolio strategy
Large catalogs are not a data-volume problem alone. They are prioritization systems where demand, permission, price, content, and execution must align.
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Ideas & field notes
Thinking in public about analytics, strategy, and better execution.
Short, practical perspectives drawn from working with large portfolios, commercial data, performance systems, and AI-enabled workflows.
Commercial analytics needs a decision layer—not another dashboard
The value of analytics appears after the chart: when a team can see the driver, choose an action, and know what to monitor next.
Read article ↗AI at work: move from clever prompts to repeatable operating systems
The strongest AI use cases do not depend on inspiration. They define inputs, checks, handoffs, and measures so quality can be repeated.
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