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Retail Product Cost and Supply Chain Data
Retail & Consumer Behavior
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About
This collection provides essential product information pivotal for analysing supermarket operational strategies, particularly concerning inventory, pricing, and promotional planning. Supermarkets rely on sophisticated balancing acts between monthly and weekly sales strategies, using data analysis to optimise profits and ensure customer flow. The product details included here are foundational for understanding the input costs and inventory structure that underpin these complex retail strategies, which often include special promotions, loyalty programmes, and rapid adjustments based on consumer feedback.
Columns
- ProductId (ID_pro): A unique identifier assigned to each product within the catalogue. This field facilitates tracking across inventory and sales records.
- ProductName (prod_name): The specific commercial name of the item, such as 'Rice Paper'. This field has a high number of unique labels.
- Supplier (Sup): Identifies the vendors providing the goods to the supermarket, reflecting the diversity of the supply chain. Examples include 'Ben Franklin' and 'Shopko'.
- ProductCost (pro_cost): Represents the cost of the product, typically ranging from 0.01 up to 12.1. This metric is critical for margin calculations and setting competitive retail prices.
Distribution
The data is delivered in a CSV file format and contains details on the product catalogue. It includes four distinct columns for identification, naming, sourcing, and cost. The catalogue size consists of approximately 1000 individual records detailing various items.
Usage
This data is ideally suited for models focused on retail pricing optimization and inventory management. Users can assess the relationship between product cost and supplier diversity. It is also valuable for developing promotional strategies, allowing marketers to simulate the impact of discounts on items with specific cost profiles and track product turnover rates.
Coverage
This dataset focuses strictly on product catalogue attributes (IDs, names, costs, and suppliers). There is no specific geographic scope or time range noted for the data collection itself. The dataset is expected to be updated annually, aligning with typical high-level inventory review cycles.
License
CC0: Public Domain
Who Can Use It
- Retail Analysts: To study pricing strategies and cost distribution trends across different suppliers.
- Marketing Teams: To design effective weekly or monthly promotional campaigns based on product cost input.
- Inventory Managers: To streamline procurement processes and optimise stock levels based on product characteristics.
Dataset Name Suggestions
- Retail Product Cost and Supply Chain Data
- Supermarket Catalogue Inventory List
- Product Metrics for Retail Strategy
- Supplier and Cost Management File
Attributes
Original Data Source:Retail Product Cost and Supply Chain Data
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