Based on analysis below, recommend strategies to improve Sales and Product Mix.

This may involve example:

$1.$ Identifying underperforming categories or products for potential discontinuation.

$2.$ Recommending new product lines based on customer preferences.

$3.$ Optimizing pricing strategies for different product categories or customer

segments.

Here is the Analysis:

Scenario : Analyzing Customer Trends for a Retail Chain.

Company: Trendy Threads $-$ A mid$-$sized retail chain specializing in trendy clothing and

accessories.

Challenge: Trendy Threads is experiencing stagnant sales growth. They suspect their

product mix might not be aligned with current customer preferences. Management wants

to leverage Business Intelligence $($BI$)$ to gain insights and improve decision$-$making.

Your Role: You are a BI Analyst tasked with analyzing customer data to identify trends and

make recommendations.

Data Source: Trendy Threads maintains a central database containing customer

transaction data. This data includes:

$$ Customer ID $($unique identifier for each customer$)$

$$ Transaction Date $($date of purchase$)$

$$ Product ID $($unique identifier for each product$)$

$$ Product Category $($e$.$g$.,$ clothing, accessories$)$

$$ Product Name $($descriptive name of the product$)$

$$ Price $($selling price of the product$)$

$$ Quantity Purchased $($number of units purchased for each product$)$