Vertoz files fourth patent for demand platform optimization using machine learning
Vertoz Limited filed its fourth patent application in India on June 24, 2026, for a system optimizing demand platforms using machine learning. The technology predicts ad partner responses to improve efficiency and reduce infrastructure overhead.

*this image is generated using AI for illustrative purposes only.
Vertoz Limited has filed its fourth patent application in India on June 24, 2026, to strengthen its intellectual property portfolio focused on digital advertising technology. The new application, titled “System and Method for Demand Platform Optimization (DPO) Using Machine Learning-Based DSP Prediction, Ranking, and Real-Time Slot Allotment,” aims to enhance the efficiency of ad transactions through advanced predictive algorithms.
The proposed invention utilizes machine learning to identify advertising partners most likely to respond to specific ad opportunities before requests are transmitted. By prioritizing relevant demand sources and minimizing unnecessary request forwarding, the system seeks to reduce infrastructure overhead and enable faster ad delivery. This technological development underscores Vertoz 's commitment to creating scalable, data-driven solutions within the digital advertising ecosystem.
Strategic Impact
The filing reflects the company's continued investment in research and development to build differentiated advertising technologies. By integrating machine learning into demand-side platform (DSP) operations, Vertoz intends to improve performance metrics for advertisers while optimizing resource allocation across its network.
Patent Details
| Feature | Description |
|---|---|
| Application Title | System and Method for Demand Platform Optimization (DPO) Using Machine Learning-Based DSP Prediction, Ranking, and Real-Time Slot Allotment |
| Filing Date | June 24, 2026 |
| Technology Focus | Machine learning, real-time slot allotment, demand prediction |
This addition to the company's intellectual property assets aligns with its strategy to foster innovation and create sustainable value for stakeholders through advanced advertising technologies.
Historical Stock Returns for Vertoz
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -4.53% | -14.90% | -19.58% | -49.13% | +313.52% | +285.37% |
How will the implementation of this machine learning-based DPO technology impact Vertoz's operational costs and profit margins in the next fiscal year?
What competitive advantages does this patent provide Vertoz against other major DSPs currently utilizing similar predictive algorithms?
How might this technology influence client retention rates and attract new advertisers seeking higher efficiency in ad delivery?






























