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Industries Inventory
Industries Inventory
Our client is an outdoor sports and survival gear manufacturer, operating across the globe. They were having difficulty consolidating their inventory data from disparate systems, delaying strategic decision-making due to a lack of real-time access to data.
Getting the Complete Picture with an Online Inventory Dashboard
We created an Online Inventory Dashboard solution using Microsoft Power BI and Azure to provide the client with intelligent decision-making insight by consolidating regional sales and inventory data for their various regional operations.
Microsoft Azure and Power BI
Customer challenges
Since the client operates in multiple regional locations including the US, Europe, Australia, and the Asia Pacific, they had difficulty consolidating their data. Different regions deployed multiple tools for carrying out operations- The US Region was using SAP Business One, the Australia Region was using MYOB, and their European and Asia Pacific Regional data were using 3rd Party Managed Warehouse Management Systems. As resultantly, the teams didn’t have real-time access to inventory on hand by volume and value, inventory turns, and inventory covers affecting the reception of business intelligence insights and delaying business decision-making. In addition, the fluctuating currency conversion rates also affected the visibility of their profit margin across products with seasonal changes in demand.
Partner solutions
Our experts consolidated the various data elements that came from MYOB and SAP Biz One data sources, analyzed the Inventory Dashboard requirements, and studied the calculations and transformations required, our adept team created an Inventory Dashboard providing all necessary customer insights using Microsoft Power BI and Microsoft Azure.
Customer benefits
Our solution provided the customer with a BI Dashboard view that displays inventory on hand by volume and cost and a side-by-side bar chart for different regions with supporting details and filters. The dashboard displays inventory turns using categories as a metric, and historical data and inventory cover that provides projections by applying growth factors based on the previous year plus calculating percentile increase increments.
