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Supply Chain & Retail Solutions user guide
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Products dataset

Products dataset for the Rebuy & Replenishment capability of the Merchandising solution, containing product metadata used across inventory analysis and reporting as a reference dataset.

The Products dataset contains metadata for the products managed by the Rebuy & Replenishment capability of the UiPath Merchandising solution. It defines the items that are planned and provides descriptive and categorical information used across inventory analysis and reporting.

This dataset acts as a reference dataset and is joined to other datasets, such as Sales, Stock, Pricing, and Order parameters, using the product_id.

Purpose​

The Rebuy & Replenishment capability uses the Products dataset to:

  • Identify the products included in inventory planning
  • Enable analysis at both individual product and aggregated levels
  • Support reporting and categorization across product hierarchies
  • Ensure consistent product identifiers across all datasets

During presales, this dataset is also used to validate product coverage and support category-level analysis.

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.

FieldDescriptionTypeConstraint
product_idUnique identifier for the product SKU. Must match across all related datasets.stringPrimary key
Unique
product_nameName of the product. Improves readability and reporting.stringNullable
product_descriptionDescription of the product. Provides additional context.stringNullable
product_categoryCategory or type of the product. Enables aggregated analysis at a category level.stringNullable
source_idIdentifier for the supplier or internal distribution centre associated with the product.stringNon-null
pack_sizeNumber of units contained in a single pack of the product.integerNon-null
minimum_order_quantitySmallest quantity of the product that can be ordered at one time.integerNullable
product_image_urlsURL(s) referencing images of the product.stringNullable

Usage notes​

  • Every product referenced in other datasets (for example, Sales, Stock, Pricing, Purchase orders, or Transfers) must exist in the Products dataset.
  • The product_id must be consistent across all datasets.
  • Product category information is optional but strongly recommended to support higher-level analysis and reporting.
  • Units of measure associated with products must be consistent with related datasets (for example, Stock and Sales).
  • If supplier relationships vary by location, this relationship should be reflected in the relevant datasets (for example, Order parameters), not encoded solely in the Products dataset.

Why this dataset matters​

The Products dataset defines the scope of inventory planning. Without a consistent product reference dataset, the solution cannot reliably join demand, stock, pricing, and replenishment data or generate meaningful inventory insights.

  • Purpose​
  • Required fields​
  • Usage notes​
  • Why this dataset matters​

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