Today’s BUSINESS INTELLIGENCE (BI) in retail solutions let you create Dashboards to
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Analyze and maintain a 360-degree view of each customer, their demographics, purchasing power, trends, patterns, preferences and behavior.
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Plan, monitor, and assess the success of your promotional activities and get insight into how your customers react to marketing incentives, seasonal promotions, and competition.
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Do Price Comparisons and Optimization
The following are the types of Data Analytics
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Descriptive Analytics provides insights to know “What” is happening in your business based on the transaction data. This is achieved with Online Analytical Process (OLAP) based Data warehousing tools and Big Data Analytics.
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Diagnostic Analytics answers the “Why” of specific business problems, to find anomalies and flag potential problems. This is achieved with algorithm-based scripts and programs on large volumes of data often involving Machine Learning and AI
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Predictive Analytics in a way tells you “What’s Next”. It uses algorithms and statistical methods to predict future trends. Combination of AI, advanced mathematics, and intelligent automation is a perfect recipe for successful prediction.
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Prescriptive Analytics Can suggest the retailers “what you should do next” to get the best results. Running simulations to find conditions that lead to the highest profit. The objective is achieved by using algorithmic AI to find the best possible mathematical outcome (Profit, GMROI, etc.). Using machine learning program to identify patterns and cluster for best outcomes
The following are some of the commonly used Dashboards
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Sales
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Overall
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Year, Quarter, Month
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Store and Product
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Product Category Wise
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Item wise
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Year, Quarter, Month
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Store and Product
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Brand
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Pricelist
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Sales Rep wise
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Year, Quarter, Month
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Store and Product
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Purchase
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Overall Summary
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Year and Quarter Wise Comparisons
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Top Suppliers
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Top Parent/ Product Category Purchases
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Supplier / Vendor wise Purchases
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Top Parent/ Product Category Purchases
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Year and Quarter Wise Comparisons
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Sales – Purchase Combination
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Sum of Sales and Purchase
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Total Cost Vs Total Sales
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Measure by Month and Year
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Pricelist wise comparisons
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Stock
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Organization Wise Stock Quantity and Value
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Stock Quantity and Value
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Product Category Wise Quantity and Value