ARequesty
About the project
“Their project management was superb.”
Elhanan B.
In the 21st century, shoppers don’t just rely on word-of-mouth recommendations anymore — they lean on the Amazon reviews of their 200 million closest friends. Reviews are one of the most effective ways to boost the brand’s conversion, credibility, and overall eCommerce presence. Reviews greatly influence conversion. In fact, 22% of shoppers won’t look anywhere else once they’ve identified an Amazon product they want to buy, and reviews are a major push when it comes to purchasing decisions. Research shows that 84% of shoppers trust online reviews as much as a personal recommendation, and 91% of shoppers occasionally or regularly read online reviews.
ARequesty is a service for Amazon sellers that allows requesting reviews for the entire Amazon store in 1-click.
There are two components:
– Browser extension that improves the Amazon seller interface;
– The SaaS automates sending requests and collecting statistics.
The browser extension adds the “Request a Review” button to orders in the “Orders” page on Amazon Seller Central and keeps track of reviews already requested. Additionally, it allows adding the “Request Reviews For Entire Store” button to request reviews for all orders in the store. For paid users, the system uses the scheduling system for automatically sending requests and reports.
The client:
Industry:
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Requirements
Our solution
Multi-tenant implementation with Flask, PostgreSQL, SQLAlchemy.
Background tasks execution took much time.
Lack of reporting on communication during the development.
Amazon MWS API handling.
Results:
The client outlined the requirements and explained the technologies and APIs in play. PLANEKS helped map out the challenges into smaller tasks, provided a top-notch dedicated developer who was a great fit for the job, and took care of the project from start to deployment, end-to-end.
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