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Building Real-Time Retail Analytics Dashboard

Building Real-Time Retail Analytics Dashboard

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Overview of Retail Analytics Platform

In the retail industry sector, the customer’s primary requirement is to get the retails company status before investing in their company. Customers also want to know about their sales, growth, conversion status with customers, customer satisfaction, and consistency in services across different regions. Today’s customer wants to get a year to year detailed insights about their Net revenue. Goods sold as well as sales. The retail Analytics Platform helps them to understand their company’s growth and sales monthly.

Solution for Retail Analytics Platform

  • With Xenonstack Support, one can build accurate and predictive models on the real-time data for better understanding the customer for sales and growth of their organization and their satisfaction and retention of the customer.
  • As a result, we have a demo of the dashboards for reference; you will be confident about the sales and their satisfaction level with the AI-based ML model.
  • Users can quickly get the status of all the information about the retails industry with the Retail Analytics Platform.
  • As for the data source, we can get the data from the eCommerce organization like Amazon, Flipkart, etc., through which we can see the data type and predict our model on it and see the result of our machine learning models.

Why Xenonstack?

Click here, and request the machine learning model demo. That shows the retails industry sales, growth, and conversion by the customer. This model will provide an accurate prediction of sales and their development for the customer with narrative addition. It will be easy for the user to understand the retails industry with the help of a model.

Dashboard for Retail Analytics

Retail Sales Analytics Dashboard

Description

Described below are the benefits of an AI-enabled dashboard for the Retail Industry.
  • Here our dashboard shows the status of sales, net revenue, and goods sold monthly.
  • And here, we can predict the rate of customer satisfaction Vs. Retention rate, and also here we can see our average transaction value monthly.

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