OI360 – Business and Operations Management Platform
Problem
Customer communication in maritime and logistics operations was entirely manual: roughly 1,000 records of operational data per day (vessel movements, arrival times, company data) were processed by hand, and preparing the right email for the right customer at the right time took hours. Customer follow-up stretched over weeks: finding out what was sent to whom and when required scanning past correspondence one by one, creating both duplicate-send risk and missed opportunities.
Solution
We built OI360 as a data-driven CRM and communication automation platform with advanced analytical algorithms. The system automatically pulls and processes operational data from multiple sources; by analyzing each customer's past behavior and correspondence history, it automatically prepares the most suitable email template for that customer. The smart analysis engine checks past communications to prevent duplicate sends and spam risk; the segmentation structure builds communication scenarios specific to each audience. Campaign performance and coverage rates are monitored in real time on dashboards.
Technologies Used
Python
Django
Analytical Algorithms
Data Processing Pipeline
Segmentation Engine
Email Automation
Dashboard & Reporting
Results
- Processing ~1,000 records a day and preparing emails went from hours to seconds.
- Customer follow-up that took weeks (who received what, and when) is now detected instantly; the CRM automatically prepares the appropriate template based on history.
- Manual email processes were fully automated; duplicate sends and spam risk are systematically prevented.
- Segment-based, personalized communication turned high-volume datasets into meaningful actions.
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