Supply Chain Analytics
Analytics really isn’t an isolated thing. For any supply chain analytics to be useful, it needs to be business as usual.
Use the insights from diverse info sources to make crucial day to day transaction decisions. While some Analytics is about post facto metrics that may be useful for quarterly appraisals and performance reviews, the Analytics that matter the most in your planning and fulfilment functions are things like responding to volatility in demand or taking necessary actions to minimize cost over-runs or even decisions like whether to go ahead with producing a whole batch of 3000 units to fulfil an average monthly demand of 200! That means macros and metrics that you must have as you walk. What was the price elasticity of the current promotion? How should I revise my forecast? What is the marginal cost of making this batch now? What is the probability of stock out for this product in next 10 days and what must I do now? What is the profitability of this order if I only partially fulfil item#5 at a discount of 50%? May be more profitable than doing 100%!
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