Nūl — New Policy

Policy Summary

Type: —

Name: —

Frequency: —

Country

—

Store

—

Product

—

Conditions

Each condition row is combined with AND logic. Only metrics based on aggregated data over a time period will show a measurement period selector.

Expected Outcomes

Define the outcomes that NŪL should optimise towards when this policy matches.

Markdown Guardrails

These 3 parameters tell NŪL's engine how aggressively to discount and what boundaries to respect. All three are required.

All three fields below are required. They define the pricing boundaries and behaviour NŪL will follow when suggesting markdowns for SKUs matching this policy.

1 Discount Floor

Example: If cost = $50, the lowest suggested price would be $55.00

NŪL will never suggest a price below this floor.

2 Discount Range

10% 30%

3 Markdown Aggressiveness

More aggressive More conservative

Balanced

A slightly overstocked SKU gets a moderate discount; only heavily overstocked SKUs get near-max discount.

Policy Configuration

Basic Information

Scope

Run Frequency

Custom recurrence

Policy Summary

Conditions

Each condition row is combined with AND logic. Only metrics based on aggregated data over a time period will show a measurement period selector.

Expected Outcomes

Define the outcomes that NŪL should optimise towards when this policy matches.

Markdown Guardrails

These 3 parameters tell NŪL's engine how aggressively to discount and what boundaries to respect. All three are required.

Policy Configuration

Basic Information

Scope

Run Frequency

Custom recurrence

Policy Summary

Conditions Each condition row is combined with AND logic. Only metrics based on aggregated data over a time period will show a measurement period selector.

Expected Outcomes Define the outcomes that NŪL should optimise towards when this policy matches.

Markdown Guardrails These 3 parameters tell NŪL's engine how aggressively to discount and what boundaries to respect. All three are required.

Send Policy for Approval?

Conditions

Each condition row is combined with AND logic. Only metrics based on aggregated data over a time period will show a measurement period selector.

Expected Outcomes

Define the outcomes that NŪL should optimise towards when this policy matches.

Markdown Guardrails

These 3 parameters tell NŪL's engine how aggressively to discount and what boundaries to respect. All three are required.