Client Success Story
Oizom Air Quality Monitoring System
Oizom integrates Nixtla's TimeGPT to forecast environmental pollution, transforming decision-making for cities and industries
40%Engagement Increase
User engagement on the Oizom dashboard increased by 40% because of TimeGPT integration
1 weekRapid Implementation
TimeGPT was integrated with Oizom's platform in just 1 week, an unprecedented time-to-value speed for state-of-the-art AI
Overview
Oizom is a cleantech IoT company specializing in ambient environmental monitoring systems. Founded in 2015 in Ahmedabad, India, Oizom has deployed over 1,000 sensor-based air quality monitoring devices across 47+ countries (Times of India)
Their product suite includes the Polludrone (ambient air quality monitor), Odosense (odour monitor), Dustroid (dust particulate monitor), AQBot (industrial gas monitor), Weathercom (meteorological station), and the cloud-based Envizom software platform
Oizom's mission is to democratize air quality data by making environmental monitoring affordable, scalable, and accessible, thereby enabling data-driven decision-making for communities, industries, and city authorities (Times of India)
By partnering with Nixtla, Oizom integrated TimeGPT—transforming their platform by offering accurate 24-hour pollution forecasts that enable preemptive action
The Challenge
Oizom needed a reliable method to predict environmental pollution spikes during critical time intervals to enable preemptive measures
- · Difficulty forecasting regular pollution spikes from traffic congestion and industrial activities
- · Inconsistent pollution levels during peak hours and specific industrial release times
- · Limited in-house resources to develop complex forecasting models
The Solution
Nixtla's TimeGPT provided a streamlined integration that uses a 7-day historical dataset to forecast pollution levels 24 hours ahead. This 'monitoring + forecasting' approach combines continuous sensor monitoring with advanced predictive analytics, enabling automated alerts and proactive management (Oizom)
- · Leveraged an hourly 7-day historical dataset to accurately predict next-day pollution levels
- · Seamless integration with Oizom's existing dashboard, boosting user engagement
- · Implemented within 1 week, significantly reducing development complexity
Increasing dashboard engagement, accelerating deployment, and optimizing resource usage
Business Outcomes
[01]
Enhanced Engagement
- 30-40% increase in dashboard engagement
- Greater user interaction for proactive monitoring
[02]
Rapid Deployment
- Nixtla's ease of use enabled and integration in the time of 1 week
- Increased value to our customers with accurate and fast forecasts that enable proactive management
[03]
Proactive Management
- Automated alerts and citywide action triggers
- Optimized scheduling of high-emission tasks
TimeGPT has transformed our forecasting capabilities, enabling near-instant, highly accurate predictions that empower proactive decision-making in environmental monitoring
Product Manager, Oizom