I’d like to request the addition of visual dashboards and performance comparison charts that allow sellers to evaluate the effectiveness of different repricing strategies over time.

Currently, while Aura provides individual SKU performance and basic reporting, there’s no consolidated view that helps sellers understand which strategies are truly driving better sales velocity, Buy Box retention, or profitability. As a result, optimizing pricing strategies often involves guesswork or manual data exports, which is inefficient and limits strategic decision-making.

Current Limitation:

1) There’s no built-in way to compare performance metrics side by side across different repricing strategies.

2) Sellers must rely on manual SKU-level analysis or external spreadsheets to detect trends.

3) It’s difficult to identify which strategy performs better under specific market conditions, product categories, or price ranges.

Proposed Functionality:

1) Introduce a “Strategy Performance Dashboard” where sellers can view and compare key metrics for each active strategy over a selectable time range (e.g., 7, 14, 30, 90 days).

2) Include charts and tables that display aggregated performance metrics, such as:

3) Total sales and revenue generated per strategy

4) Average profit margin and net profit per strategy

5) Buy Box win rate and average price positioning

6) Number of SKUs assigned to each strategy and their distribution

7) Conversion rate and sales velocity over time

8) Allow filtering by marketplace, category, supplier, or custom tags for deeper analysis.

9) Support side-by-side line or bar charts to visualize performance trends and detect patterns.

Benefits:

1) Data-driven strategy optimization: Quickly identify which strategies are delivering the best results and which need adjustment.

2) Faster decision-making: No more manual data crunching to figure out what’s working.

3) Improved experimentation: Sellers can A/B test strategies and measure impact using real performance data.

4) Better scalability: Makes managing multiple strategies across large catalogs far more efficient.