TRICHICODE
about project
industry
Retail
Web-based platform that enables sellers on Amazon to collect reviews from their customers through personalized email campaigns. The service aims to enhance the seller's product reputation, increase customer feedback, and improve overall product ratings on the Amazon marketplace.
redis
rabbitmq
aws
docker
difficult
medium
The challenge was to develop a dynamic email campaign scheduler that allows Amazon sellers to customize and automate review requests based on customer interactions. Implement a huge statistics aggregation to categorize customer feedback and identify actionable insights for sellers to improve their products. Create a seamless integration with Amazon's API to fetch and display real-time product ratings and reviews within the platform. Optimize platform performance to handle high volumes of email requests and ensure data security and compliance with Amazon's policies
securing customers clients
implementing campaign scheduler
create elastic API
implement user-friendly statistics
The best solution chosen by our experts for the task at hand
+139%
INCREASE IN API PERFORMANCE
+59%
INCREASE IN SATISFACTION
+140%
INCREASE IN AMOUNT OF METRICS
+71%
INCREASE IN AMOUNT OF SALES
We used a message broker for efficient background data collection. To implement user-friendly statistics, we utilized cron jobs and precalculation techniques, which, given the substantial data volume, necessitated a scalable architecture for optimal performance. Additionally, we rigorously tested all integration steps to ensure a robust and reliable system.
time spent
19 months
Rohan Laghari
Enterprise project feedback manager
TrichiCode successfully delivered a robust and user-friendly feedback gathering platform for our retail solution, meeting all our requirements and exceeding our expectations.
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