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- Overview
- Platform setup and administration
- Platform setup and administration
- Platform architecture
- Data Bridge onboarding overview
- Connecting a Peak-managed data lake
- Connecting a customer-managed data lake
- Creating an AWS IAM role for Data Bridge
- Connecting a Snowflake data warehouse
- Connecting a Redshift data warehouse (public connectivity)
- Connecting a Redshift data warehouse (private connectivity)
- Reauthorizing a Snowflake OAuth connection
- Using Snowflake with Peak
- SQL Explorer overview
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- Inventory management solution
- Commercial pricing solution
- Merchandising solution
Supply Chain & Retail Solutions user guide
Last updated Apr 16, 2026
Order parameters dataset
The order parameters dataset contains planning configuration data for each product, location, and supplier combination. It defines the timing and service assumptions used by the inventory management solution when calculating inventory parameters and replenishment recommendations.
This dataset plays a critical role in determining how inventory decisions are evaluated over time.
Purpose
The inventory management solution uses the order parameters dataset to:
- Understand how frequently inventory is reviewed and replenished
- Calculate the ordering cycle (also known as the risk period)
- Evaluate demand volatility over lead times and review periods
- Support accurate safety stock and replenishment calculations
During presales, this dataset is also used to validate planning assumptions and assess potential inventory improvements.
Required fields
| Field | Description | Type | Use | Notes |
|---|---|---|---|---|
product_id | Unique identifier for the product SKU. | string | Application / Presales | N/A |
location_id | Identifier for the store or distribution centre where the product is delivered. | string | Application / Presales | N/A |
source_id | Identifier for the supplier or internal distribution centre. | string | Application | Can represent an external supplier or an internal source. |
review_period | Number of days between reviewing purchase orders. | int | Application / Presales | Optional. May be determined during scoping. |
service_level | Target service level for the product, expressed as a value between 0 and 1. | float | Application / Presales | Optional. May be determined during scoping. |
lead_time | Number of days between placing an order and receiving the product. | int | Application / Presales | N/A |
updated_at | Date and time (UTC) when the record was created or last updated. | datetime | Application | Optional. |
Usage notes
- The ordering cycle for a product is calculated as the sum of the
lead_timeandreview_period. - If
review_periodorservice_levelvalues are not provided, they may be defined during onboarding or scoping. - Identifiers (
product_id,location_id,source_id) must align with the corresponding Products, Locations, and Suppliers datasets. - This dataset typically changes less frequently than demand or stock data but is critical to planning accuracy.