Automating IP Processes

Implemented a monitor feature that tracks database updates and automatically notifies users about new patent sequences matching their saved searches.

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All Technologies Used

Ruby
Ruby
PostgreSQL
PostgreSQL

Motivation

The client approached Azati with the request to develop an automated solution that would notify researchers about newly added patent sequence data relevant to their previous searches. This solution was aimed at eliminating the manual process of tracking updates, ensuring that researchers receive accurate, timely, and comprehensive information, and reducing the risk of missing critical data in their intellectual property research.

Main Challenges

Challenge 1
Missed Updates in Rapidly Changing Data

Due to 24-hour update cycles on the SequenceBase Research Portal, users often missed new patent documents and sequences relevant to their ongoing research. Azati addressed this by introducing a monitoring system that proactively tracks and notifies users of relevant updates.

Challenge 2
Manual and Repetitive Searches

Researchers had to perform repeated manual searches to find newly added sequences matching their queries, which was time-consuming and inefficient. Azati proposed and implemented a solution with automated recurring search checks and user notifications.

Key Features

  • Monitor Feature: Allows users to subscribe to specific searches and receive automatic notifications when new documents or sequences matching their criteria are added to the portal.
  • Custom Update Settings: Users can define how often they receive updates, choose to see only new results, and access historical data from previous search runs.
  • Email Notifications: Integrated alerts via email ensure that researchers never miss important updates without needing to log in constantly.

Our Approach

User Behavior Analysis
Conducted an in-depth analysis of how users perform searches and interact with the SequenceBase portal to identify pain points and optimize notification timing.
Feature Design and Alert Configuration
Designed and implemented a new monitor feature that allows users to set search alerts with adjustable frequency and delivery preferences.
Change Tracking System
Enabled the system to track changes in the patent sequence database and compare them against saved search criteria.
Smart Notification Engine
Developed backend logic to notify users only when relevant new results appear, minimizing noise and alert fatigue.
Audit Trail Implementation
Added a history log to allow users to view search results as they were before each update, enabling consistent research audit trails.
Email Notification Integration
Integrated email notifications to ensure researchers are immediately informed when their monitored searches yield new matches.

Project Impact

Improved Research Accuracy: Researchers can now access the most up-to-date patent data without re-running searches, minimizing the risk of missed discoveries.

Increased Productivity: The automated process reduced manual search time, allowing scientists to focus more on analysis and innovation.

Higher User Engagement: Enhanced user satisfaction through a smart, responsive, and customizable research experience.

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