
This story was originally published on HackerNoon at: https://hackernoon.com/i-built-a-budget-optimiser-that-showed-me-the-cost-of-my-own-rules. Building CLARO showed how shadow prices and constraint analysis can make marketing budget recommendations easier to understand and challenge. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #linear-programming, #resource-allocation, #decision-support-systems, #marketing-budget-optimization, #diminishing-returns, #shadow-prices, #pulp, #cbc-solver, and more. This story was written by: @HodaRezvanjoo_3m2h4pek. Learn more about this writer by checking @HodaRezvanjoo_3m2h4pek's about page, and for more stories, please visit hackernoon.com. Building a Python budget optimiser led the author to focus on explaining recommendations: which constraints matter, what trade-offs they impose, and how alternative allocations compare.
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