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
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
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
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 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