industry-department-solutions
latest
false
- 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
Quote line dataset
The Quote Line dataset contains detailed line-item information for customer quotes. It represents individual pricing decisions made during the quoting process and provides the core behavioral data used to analyze quote performance.
This dataset is required for application deployment and pricing insights analysis.
Purpose
The commercial pricing solution uses the Quote Line dataset to:
- Analyze quoted prices at the product and customer level
- Evaluate win/loss behavior in response to pricing decisions
- Measure discounting patterns relative to list price
- Support pricing recommendations for future quotes
This dataset is essential for Quote Pricing use cases.
Required fields
| Field | Description | Type | Priority |
|---|---|---|---|
quote_line_id | Unique identifier for each quote line item. | string | Required |
quote_id | Unique identifier for the quote. | string | Required |
product_id | Unique identifier for the product SKU. | string | Required |
customer_id | Unique identifier for the customer. | string | Required |
merchant_id | Unique identifier for the merchant. | string | Required |
project_id | Unique identifier for the project. | string | Required |
quoted_units | Number of units quoted. | float | Required |
quoted_price | Price quoted per unit. | float | Required |
quote_stage | Stage of the quote process. | string | Required |
quote_date | Date the quote was issued. | timestamp_tz | Required |
updated_at | Timestamp when the record was last updated. | timestamp_tz | Required |
Usage notes
- All referenced identifiers (
product_id,customer_id,merchant_id,project_id) must exist in their corresponding datasets. - Quote lines should reflect actual quoted pricing behavior, not list prices.
- Quote stage information helps differentiate early-stage quotes from finalized quotes.
- Historical quote data improves pricing model accuracy and recommendation stability.
- Units of measure must align with related datasets (Products, Sales).