Businesses can use Market Basket Analysis (MBA) along with Association Rule Learning (ARL) to improve their sales. This means figuring out which products are often bought together. It’s a popular method in stores to understand how customers shop.

Key Ideas of Market Basket Analysis:

1. Association Rules: These are like clues showing that if someone buys item $A$, they might also buy item $B$.

2. Support: This shows how often the clue happens in all sales. It is calculated like this:

   $\text{Support}(A \Rightarrow B) = \frac{\text{Count}(A \cup B)}{\text{Total Transactions}}$

3. Confidence: This tells us how likely it is for someone to buy item $B$ if they already bought item $A$:

   $\text{Confidence}(A \Rightarrow B) = \frac{\text{Count}(A \cup B)}{\text{Count}(A)}$

4. Lift: This compares how often the clue happens to how often we’d expect it to happen if $A$ and $B$ were separate:

   $\text{Lift}(A \Rightarrow B) = \frac{\text{Confidence}(A \Rightarrow B)}{\text{Support}(B)}$

Helpful Facts:

• Studies show that using MBA well can increase sales by 5-10%.
• Tailoring marketing based on ARL finds can boost cross-selling (selling related items) by up to 20%.

By using these ideas and facts, businesses can create better promotions, place products more effectively, and manage their stock better. This can lead to a big increase in sales!