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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
- Roles and permissions
- User management
- Inventory management solution
- Commercial pricing solution
- Merchandising solution
Supply Chain & Retail Solutions user guide
Last updated Apr 16, 2026
List price dataset
The List Price dataset contains product list pricing information used in manufacturing pricing scenarios. It defines baseline selling prices that apply at specific stages in the quoting or pricing process.
This dataset is required for application deployment and pricing insights analysis.
Purpose
The commercial pricing solution uses the List Price dataset to:
- Establish baseline prices for products
- Compare quoted prices against list prices
- Evaluate pricing adjustments and guardrails
- Analyze pricing performance relative to standard pricing policies
List price data provides the reference point for pricing recommendations and margin analysis.
Required fields
| Field | Description | Type | Priority |
|---|---|---|---|
product_id | Unique identifier for the product SKU. | string | Required |
stage | Stage of the quote or pricing process to which the list price applies. | string | Required |
list_price | Baseline price of the product at the specified stage. | float | Required |
valid_from | Date and time when the list price becomes valid. | timestamp_tz | Required |
valid_to | Date and time when the list price is no longer valid. | timestamp_tz | Required |
updated_at | Timestamp when the record was last updated. | timestamp_tz | Required |
Usage notes
- List prices should reflect the official baseline prices used in the quoting process.
- The
stagefield allows different list prices to apply at different points in the pricing workflow. - Validity periods (
valid_from,valid_to) must be defined to ensure pricing recommendations are evaluated correctly over time. - The
product_idmust align with the Products dataset. - Historical list prices improve pricing analysis and performance tracking.
Why this dataset matters
The List Price dataset establishes the baseline pricing structure for manufacturing pricing. Without it, the solution cannot compare quoted prices against standard pricing policies or evaluate deviations from list price.