Small and medium businesses tend to run operationally at cross purposes where the inventory data resides in separate spreadsheets. This fragmentation causes data latency whereby the recorded stock levels are not in line with the physical reality. These discrepancies lead to stockouts and loss of revenue. This can be solved by implementing a centralized database that synchronizes the data on...
The causes of operational inefficiencies are usually related to fragmented data silos in which the sales, procurement, and warehouse teams implement unconnected platforms. Such fragmentation has led to a latency in data, which causes a discrepancy between the actual stock and the recorded stock. In the case of trading and manufacturing organizations, the revenue and the retention of customers...
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