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What is goaura.com?
Aura is a modern repricing tool specifically designed for Amazon sellers, leveraging artificial intelligence to optimize pricing strategies automatically. It functions as an AI copilot, determining the most effective strategy in real-time for each listed product. This system adapts quickly to market fluctuations while adhering to the user-defined minimum and maximum price limits, simplifying the often complex task of price management.
By automating the repricing process, Aura aims to help businesses grow their sales profitably and maintain competitiveness within the dynamic Amazon marketplace. It safeguards profit margins and allows sellers to dedicate more time to other critical aspects of their business operations. The tool focuses on elevating the user's overall business strategy by intelligently managing product pricing on Amazon.
Features
- AI – optimal strategies in real time: Automatically determines the best pricing strategy for each listing.
- Hyperdrive™: Feature for enhanced repricing performance.
- Workflows: Create automated rules to manage listings.
- Pricing activity: Log of every price update, including reasons.
- Uploads: Bulk update listings using spreadsheets.
- Auto min/max: Calculate minimum and maximum prices using ROI, Profit Margin, Fixed Profit, and Profit Floor.
- Integrations: Automatically import data like costs from other tools (e.g., InventoryLab).
- Reports: Export critical data for decision-making.
- Real-time competitive insights: Provides up-to-date information on competitors' pricing.
- Mobile support: Access and manage repricing via mobile devices.
Use Cases
- Automating Amazon product pricing strategies.
- Optimizing sales volume on Amazon.
- Protecting and increasing profit margins for Amazon sellers.
- Maintaining competitive pricing in the Amazon marketplace.
- Saving time on manual price adjustments for Amazon listings.
- Scaling an Amazon FBA or e-commerce business.
Related Queries
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goaura.com Uptime Monitor
Average Uptime
99.79%
Average Response Time
94.6 ms
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