Client Name
AMZAlert
AMZAlert is a smart monitoring service that sends instant alerts for any unforeseen changes in your Amazon product listings.
Time
6 months
team
6 developers
Tech
.NET Core, JavaScript
Type
UX & UI Design
Category
Amazon Seller Tools
About the Project
Automated Product Monitoring
for Amazon Sellers
We updated their codebase, improved alerting, reporting, added new enterprise-level features that allows them to expand to 10 new countries, and added integration support for Slack, JIRA, and ClickUp.
Problems Solved
AMZAlert’s old codebase for its most crucial Suppression and Leech alerting features wasn’t well written, which ended up raising costs, bugs, and caused instability in its functionality.
They couldn’t cater to larger, enterprise-level sellers due to lack of certain features, inaccuracy in alerting and data scraping, and a market presence limited to the US only.
They couldn’t cater to larger, enterprise-level sellers due to lack of certain features, inaccuracy in alerting and data scraping, and a market presence limited to the US only.
Outdated Codebase
Buggy Features
No Enterprise Support
Upgrading Core Alerting Features
Their two crucial features, Suppression and Leech alerts, had inaccuracy and stability issues. And the standalone use of Scraper API restricted collection of more seller information.
We added six new alerting features, improved their old codebase, identified Suppression scenarios, followed by a streamlined integration of Keepa and Scraper APIs, which resulted in accurate data collection and more stable alerts.
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Better
Monitoring Intervals
Previously, AMZAlert crawled and scraped all the listings every 15 minutes on their production server, which required more API calls, resulting in higher server costs.
We improved the monitoring interval feature and increased the default crawling interval from every 15-mins to every hour, reducing the frequency of API calls, thereby reducing server costs.
Getting
Enterprise Ready
AMZAlert saw demand from enterprise level sellers requesting different user types, product grouping, and report scheduling to support multiple teams at once.
We built a new enterprise experience so sellers can create sub-users for specific listings, create custom ASIN groups for batch monitoring, and on-demand reporting for all alerts which are available as a CSV file.
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Expansion and
Integrations
Limited by their market and lack of third-party integration, AMZAlert couldn’t cater to a large market of enterprise sellers. They needed to expand and integrate popular tools.
We added integration support for services like Slack, Jira, and ClickUp so sellers can directly import alert data to their preferred channels, boards, or tasks. To aid their expansion, we added ten new marketplaces like the UK, Canada, Germany, France, Spain, Italy, Netherlands, Mexico, India and Japan.
work overview
Improved Software that's
Enterprise-ready
Improvement Areas
Monitoring Feature
Core Alerting System
Codebase
Integrations
Reporting Feature
System Performance
New Features
Batch Monitoring
Report Scheduling
New User Types
New Features
Batch Monitoring
Report Scheduling
New User Types
How We Did It
Understanding Patterns on Amazon
AMZAlert’s core features are based on alerting sellers, so we spent time understanding Amazon’s suppression scenarios and leech patterns among sellers to improve core features, and build new ones.
We used multiple APIs to collect more accurate and updated information about product listings, which led to improvement in Suppression and Leech alerts - two crucial features of AMZAlert.
We used multiple APIs to collect more accurate and updated information about product listings, which led to improvement in Suppression and Leech alerts - two crucial features of AMZAlert.
Standardized Processes
We used the Agile Methodology to build new features for AMZAlert. Our process included discovery, followed by development, cloud setup, QA & testing, and proper documentation.
Technologies Used
.NET Core, JavaScript, Bootstrap, Keepa API, Send Grid, Trumpia, Chargebee, Slack API, SQL Server
JavaScript
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.NET Core
Bootstrap
SQL Server
Chargebee
React
Services
What We Did
- Code Reviews
- Full Stack Development
- Database Design
- Website Development
- QA and Software Testing
- Research
- UX & UI Design
- Custom Software Development
- DevOps
- QA and Software Testing
Key Features
Multiple Alerting Features
Sellers get tons of new alert features on top of the existing ones, including alerts for Amazon’s Choice, Fulfilled by Amazon (FBA), stock alerts, existing review changes, coupons and Kindle products. Sellers can also set up custom alert monitoring interval times to suit their needs.
Slack, Jira, ClickUp Integration
AMZAlert can now serve big sellers on Amazon who work with multiple teams and want to receive alerts for different team groups or access them in one place within Slack. Customers can also receive alerts directly to their ClickUp and Jira boards, with alert data mapped to custom fields within a task.
Multiple User Types
AMZAlert lets large-scale sellers give their teams controlled access to specific product listing groups. Sellers can create sub-users and assign them to specific groups.
Product Grouping & Reporting
AMZAlert gives sellers the ability to create multiple ASIN groups based on seller, brand, or any other custom classification. For better reporting, sellers acn now schedule reports daily, weekly, or instantly for all alerts across AMZAlert, and download them as a CSV file.
Market Relevance
#1 Tool for Monitoring
Amazon Listings
A top preferred tool for sellers on Amazon who want to find and fix product listing issues fast without wasting money on late fixes. AMZAlert automatically monitors your products listings and sends alerts through email, text, Slack, Jira, and ClickUp
Visit AMZAlertHighlights of this Project
6
New Alerting Features
New
User Types Feature
3
New Integrations
New
Product Grouping Feature
New
Reporting Features
What Their Users Say
End-to-end Software Development, Managed Services, and Staffing Solutions for businesses.
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