WANT TO IMPROVE SALES IN YOUR ORGANISATION IN 2024 WITH THE USE OF DATA?

WANT TO IMPROVE SALES IN YOUR ORGANISATION IN 2024?

Here is an example of a easy and simple python code that you can implement (in this case for a coffee shop) to increase revenue in 2024.  

EXPLANATION OF THE CODE:

Generating Sample Data:

The code starts by creating a simulated dataset for a coffee shop. This dataset includes information such as the timestamp of a purchase, the menu item bought, and a customer rating.

Analysing Customer Preferences:

The script analyses customer preferences by identifying the most popular menu items. It does this by counting how many times each menu item appears in the dataset and then printing out the two most popular items.

Analysing Inventory Management:

The code determines the best-selling menu item, helping the coffee shop understand which product is most in demand. This information is useful for managing inventory levels effectively, ensuring that popular items are always in stock.

Analysing Staffing:

The script looks at the timestamps of purchases to identify the peak hours when the coffee shop is busiest. This information helps the shop adjust its staffing levels to ensure there are enough employees during the busiest times and potentially save on labour costs during slower periods.

Analysing Marketing:

The code identifies frequent customers by considering those who gave high ratings (4 or 5) and then determines which menu item they order most frequently. This information can be used for targeted marketing efforts, such as sending promotions to these loyal customers.

Performing Forecasting:

The script calculates the average daily sales by analysing the dataset. This information helps the coffee shop forecast future demand, allowing them to adjust their inventory and staffing levels accordingly.

Main Function:

The main() function serves as the entry point for the script. It calls each of the analysis functions to showcase how the coffee shop can use data to improve its operations, reduce costs, and enhance the overall customer experience.

In general, the code simulates a scenario where a coffee shop uses data to make informed decisions about its menu, inventory, staffing, marketing, and forecasting, ultimately aiming to improve its business.

FEEL FREE TO CONTACT US IF WE CAN HELP IN ANY WAY TO HELP GET YOUR ORGANISATION MORE PROFITABLE IN 2024 FROM A DATA PRESPECTIVE.