Example of how Business Intelligence & Analytics has helped Drive Sales within Retail

OVERVIEW

For retailers, understanding there customers’ buying habits is highly valuable. Insights about customer satisfaction, demographics and buying price can drive decisions for marketing, sales and even inventory management.

OBJECTIVE

Increase profit by optimizing the marketing efforts, increasing the number of sales and discontinue unprofitable products.

  • Increase revenue by selling higher quantity at optimal selling price
  • Increase sales by improving marketing effectiveness through understanding of the customers’ buying habits
  • Increase profit by discontinuing products with dissatisfying revenue returns
Dashboard Example (Sample Data)

KPI’S
Objectives KPIs Measures
Increase revenue by selling higher quantity at optimal selling price Drive sales with higher quantity per product # Orders per product
Average quantity per order per product
Identify the optimal selling price Minimum, maximum and average selling price per product
Median selling prices for all products
Increase sales by improving marketing effectiveness through understanding of the customers’ buying habits Identify common buying habits Frequently bought together products: products bought in the same order, in more than 2 orders
# Orders trend over time and during US Holidays
Identify customers satisfaction # Returning customer per product: customers with more than one order
# Repeat buys per product: # of orders the same customer made per product
# Customers
Average # customers per product
Identify customers demographics # customers by gender per product
# customers by region per product
# customers by Age Range per product

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