I would like to request the addition of conditional pricing rules inside Aura’s repricing strategies, allowing sellers to automatically increase or decrease prices based on real-time sales activity.

At the moment, strategies focus primarily on Buy Box position and competitor prices, but they don’t allow for dynamic adjustments when sales volume is unusually high or low within a specific time frame. Adding this functionality would give sellers much more granular control over pricing and inventory management.

Current Limitation:

1) There’s no way to automatically react to sales velocity trends (e.g., slow sales indicating overpricing, or a sudden spike indicating the price might be set too low).

2) Sellers must manually monitor performance and adjust prices, which is inefficient and prone to delays.

3) High-volume sellers or those managing large catalogs can’t practically do this manually for each SKU.

Proposed Functionality:

1) Within a repricing strategy, add a section for Conditional Pricing Rules, where sellers can define triggers based on recent sales activity.

Example triggers could include:

“If fewer than X units sold in the last Y hours, decrease price by Z%.”

“If more than X units sold in the last Y hours, increase price by Z%.”

“If no sales in the last Y hours, lower price to min price or reduce by a fixed amount.”

“If sales exceed X units in Y hours, increase price up to max price to protect margins and inventory.”

Allow these rules to stack or prioritize, with clear logic for how they interact with existing Buy Box–based strategies.

Benefits:

Better inventory control: Prevent running out of stock too quickly when demand spikes.

Profit optimization: Capture higher margins when sales velocity indicates strong demand.

Automated clearance: React faster to slow-moving items by adjusting prices downward.

Reduced manual work: Minimize the need to constantly monitor and tweak prices manually.

Optional Enhancements:

1) Support both percentage-based and fixed dollar adjustments.