{"id":22031838,"url":"https://github.com/ashu3291/blinkit-app-store-","last_synced_at":"2026-01-05T01:45:45.294Z","repository":{"id":253945221,"uuid":"845011087","full_name":"Ashu3291/blinkit-app-store-","owner":"Ashu3291","description":"conducted a comprehensive analysis of Blinkit's sales performance, customer satisfaction and inventory distribution to improve the sales 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blinkit-app-store-\n\nSteps in project – \n•\tRequirement gathering / Business requirements\n•\tData walkthrough\n•\tData connection\n•\tData cleaning/ quality check\n•\tData modelling\n•\tData processing\n•\tDAX calculations\n•\tDashboard lay outing\n•\tCharts development and formatting\n•\tDashboard/ Report development\n•\tInsights generation\n\nBusiness Requirement \nTo conduct a comprehensive analysis of Blinkit’s sales performance, customer satisfaction and inventory distribution to identify key insights and opportunities for optimization using various KPIs and visualisations in POWER BI. \n\nKPIs Requirements –\nTotal sales – the overall revenue generated from all items sold.\nAverage sales – the average revenue per sale\nNumber of items – the total count of different items sold\nAverage rating – the average customer rating for items sold.\n\nCharts requirements – \n1)\tTotal sales by fat content – \nObjective – analyse the impact of fat content on total sales.\nAdditional KPI metrics – assess how other KPIs (Average sales, Number of items, avg rating ) vary with fat content.\nChart type – Donut chart \n\n2)\tTotal sales by item type – \nObjective – identify the performance of different item type in terms of total sales\nAdditional KPI metrics – assess how other KPIs (avg sales, number of items, avg rating ) vary with fat content \nChart type – Bar chart\n\n3)\tFat content by outlet for total sales –\nObjective – compare total sales across different outlets segmented by fat content \nAdditional KPI metrics – assess how other KPIs (Average sales, Number of items, avg rating) vary with fat content.\nChart type – Stacked column chart  \n4)\tTotal sales by outlet establishment – \nObjective – evaluate how the age or type of outlet establishment influences total sales \nChart type – Line chart \n\n5)\tSales by outlet size – \nObjective – analyse the correlation between outlet size and total sales\nChart type – Donut chart \n\n6)\tSales by outlet location - \nObjective – assess the geographic distribution of sales across different locations.\nChart type – funnel map\n\n7)\tAll metrics by outlet type – \nObjective – provide a comprehensive view of all key metrics (total sales, avg sales, number of items, avg rating) broken down by different outlet types.\nChart type – Matrix card  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashu3291%2Fblinkit-app-store-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashu3291%2Fblinkit-app-store-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashu3291%2Fblinkit-app-store-/lists"}