Wholesale Customers Data

Description:
Dive into the world of wholesale customer data and uncover insights into purchasing behavior across different channels and regions. This dataset offers a comprehensive view of annual spending on various product categories, providing valuable information for market segmentation and customer classification.

Features:

• Region: Categorical feature indicating the region of purchase, with options including Lisbon, Oporto, or Other.

• Fresh: Continuous feature representing annual spending (in monetary units) on fresh products.

• Milk: Continuous feature representing annual spending (in monetary units) on milk products.

• Grocery: Continuous feature representing annual spending (in monetary units) on grocery products.

• Frozen: Continuous feature representing annual spending (in monetary units) on frozen products.

• Detergents_Paper: Continuous feature representing annual spending (in monetary units) on detergents and paper products.

• Delicassen: Continuous feature representing annual spending (in monetary units) on delicatessen products.

• Target Feature: Channel - Categorical feature indicating the type of channel, either Horeca (Hotel/Restaurant/Cafe) or Retail channel.

How the data can be used:

• Market Segmentation: Analyze spending patterns to segment customers based on their purchasing behavior, helping businesses tailor their marketing strategies accordingly.
• Channel Classification: Develop machine learning models to classify customers into Hotel/Restaurant/Cafe (HoReCa) or Retail channels, enabling businesses to optimize their supply chain and distribution strategies.
• Predictive Analytics: Utilize the dataset to build predictive models that forecast future spending trends, aiding businesses in inventory management and demand forecasting.
• Customer Insights: Gain insights into the preferences and buying habits of wholesale customers, allowing businesses to identify growth opportunities and improve customer satisfaction.