The client’s support team was buried with a constant stream of USPS tracking inquiries, many of which were either incomplete, invalid, or poorly formatted. As the volume grew, manual processing became increasingly unsustainable.
Without any automated checks in place, agents had to manually validate tracking numbers, creating bottlenecks and slowing down response times.
Emails were processed one by one, with no workflow segregation or intelligent labeling, making it hard to differentiate between valid, invalid, or high-priority queries.
The support team lacked a system to tailor responses based on the nature of each query, leading to inconsistent user experiences and redundant manual effort.
From drafting replies to applying Gmail labels, nearly every part of the workflow required human intervention, taking valuable time away from more strategic tasks.
There were no fallback mechanisms for scenarios like invalid inputs or USPS service disruptions, increasing the risk of dropped queries or broken user journeys.
To ease the burden on the internal support, developers at DataToBiz designed a smart, logic-first automation pipeline. It reads incoming emails, validates tracking numbers, interacts with USPS, and responds accordingly, all with minimal human intervention.
The system automatically scans incoming emails for tracking numbers using regex and length filters (20–22 digits). Any invalid or missing entries are flagged right away, no manual lookup needed.
Using Playwright, the pipeline simulates a user on the USPS website, retrieving real-time tracking statuses. It’s built to handle dynamic page elements and respond smoothly even under slow-loading conditions.
Emails are automatically sorted and labeled as “Done” (successfully processed) or “Human Review” (needs manual attention), streamlining the entire support workflow.
Based on the result: valid, invalid, or empty tracking, personalized replies are drafted in Gmail, ensuring customers always receive a response, even when data is missing.
The system creates necessary directories for logs and screenshots on the fly, reducing the chance of runtime errors and broken executions.
From USPS downtime to malformed tracking numbers, all edge cases are gracefully managed with clear logs, error flags, and safe shutdowns, keeping operations steady even when things go off-script.
Automated USPS tracking page navigation using Playwright
Retry logic handles temporary web failures
Dynamically selects the correct “Search” button despite DOM changes
Validates tracking numbers using regex (20–22 digits)
Fallback logic extracts probable tracking numbers from the email body
Gmail API scans unread emails for tracking requests
Label emails as “Done” or “Human Review” based on the outcome
Drafts customized reply emails based on validation status
Auto-creates necessary folders (e.g., /tracking_numbers/)
Logs each step with detailed debug messages
Captures screenshots for failure points
Linear, exception-safe flow at every stage
Ensures browser shutdown across all paths to prevent memory leaks
Manual handling for tracking queries was reduced by 50%, as routine emails were auto-triaged and resolved without human intervention.
The system achieved 100% automation in labeling and reply drafting, freeing up the support team from repetitive inbox management.
Thanks to its fail-safe design, the workflow ran with zero downtime, even when USPS made front-end changes or emails had malformed input.
With step-level logs and visual snapshots, root cause analysis became 70% faster, minimizing the time spent on troubleshooting issues.
In this foundational phase, our experts delivered an automation engine that transformed email-based USPS tracking support. By managing edge cases and delivering timely responses, the system itself replaced bottlenecks with scalable and hands-off efficiency.
Technology & Software
North America
End to End Project Lifecycle Management
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