A leading logistics SaaS platform was facing difficulty managing the increasing flow of fleet data, resulting in delays in insights and poor resource allocation. The client was using fragmented Excel reports and manual coordination to track delivery KPIs. They approached Vortunix to bring intelligence and automation into their operational systems.
Here’s how Vortunix delivered a cloud-native, analytics-first solution:

1. 1.Live Engagement Dashboard Deployed Power BI dashboards that auto-refreshed every 5 minutes using real-time APIs integrated with Snowflake for route, fuel, and trip analytics.
2. 2.Real-Time Data Streaming Built ingestion pipelines with Apache Kafka + AWS Glue for processing telemetry data from over 300 delivery vehicles in real time.
3. 3.Automated Alerts The existing system was slow in providing insights on user behaviour, impacting the decision-making process.
4. 4.Optimized Cost & Performance Reduced AWS EC2 consumption by 40% through serverless architecture and optimized Spark batch jobs.

1. 60% Reduction in report generation time
2. 23% Improvement in delivery SLA adherence due to real-time monitoring
3. ₹12 Lakhs Saved/Month by replacing manual tracking efforts
4. Unified Platform integrating GPS, driver behavior, route info, and delivery status into a single control panel
5. Zero Downtime through auto-scaling architecture on AWS

1. 1.Live Operational Dashboard: Built in Power BI connected to Snowflake with custom real-time visuals
2. 2.Automated Event Alerts: Airflow pipelines for alerting delays and operational anomalies
3. 3.Serverless Data Pipeline: Apache Kafka + AWS Glue + Lambda for fast and cost-efficient processing
4. 4. Fleet Optimization Model: Built early-stage ML models to suggest optimal delivery clusters and shifts