From your SAP ERP, insights on the consumption of stock, vendor supply data, and sales history can be analyzed to make more informed choices on infrastructure investments. Let’s explore this scenario with a simple example. Suppose if you are a with notgrocery retailer within a city selling almost all daily essentials. There comes a time when you decide to expand your warehousing capacity to meet growing needs. Using analytics, it becomes easier to predict the extra space needed for each category of item and plan it better. For example, if meat or frozen food items do not see much movement from historic sales analytics, then you are better off not investing in expanding your cold storage capacity and utilize the existing space only. The space earmarked for cold storage in the new expansion plan can be swapped for some other commodity that is finding more takers in your store. This helps in optimizing investments in infrastructure and will help businesses save tons of money in the long run.