Sales dataset

Sales dataset containing aggregated daily sales per product and location, an optional demand-history signal for Inventory Management.

The sales dataset contains aggregated daily sales for each product at each location. It is an optional alternative or complement to the Customer orders dataset as a demand-history signal.

Purpose

The inventory management solution uses aggregated sales data to understand historical demand at the product and location level. This dataset can be provided instead of, or in addition to, the Customer orders dataset when order-line level data is not available or when aggregated demand history is preferred.

Required fields

About the Constraint column: every field listed must be provided in your data. Non-null means its value cannot be null; Nullable means the value may be sent as null (or left blank in your source). Primary key, Unique, and Foreign key describe the field's role in the data model; a Primary key is always non-null.

Field	Description	Type	Constraint
product_id	Unique identifier for the product SKU.	string	Primary key
location_id	Unique identifier for the store or distribution centre.	string	Primary key
day_date	Date corresponding to the reported sales.	date	Primary key
sales_units	Number of units sold for the given product, location, and date.	float	Non-null
sales_value	Revenue value of the units sold. Should correspond to the value of sales_units.	float	Non-null

Usage notes

• This dataset is an optional alternative or complement to the Customer orders dataset.
• A daily record of sales is recommended to support accurate demand analysis.
• Product and location identifiers must align with the corresponding Products and Locations datasets.
• Sales quantities should use the same unit of measure as related datasets.