Description:
The dataset contains information about various products, their stock levels, prices, and the locations where they are sold.
Columns description:
1. Product: Represents the name of the product being sold, such as Milk, Coke, Water, etc.
2. Stock: Indicates the quantity of each product available in stock.
3. Price: Reflects the price of each product, possibly with negative values indicating discounts or losses.
4. Place: Denotes the location where the product is being sold, such as Birmingham or London.
Use case:
This dataset can be valuable for retailers, supply chain managers, and market analysts. Retailers can use the information on stock levels and prices to make strategic pricing and stocking decisions. Supply chain managers can optimize inventory levels based on product popularity and location demand. Market analysts can analyze sales trends across different locations to identify growth opportunities or areas needing improvement. Ultimately, this dataset can help businesses enhance their operational efficiency and maximize profits.