New Delhi: Vertoz has filed its fourth patent in India for a machine learning-based system designed to improve the efficiency of digital advertising by optimizing demand-side platform (DSP) selection and ad delivery.
The patent is titled “System and Method for Demand Platform Optimization (DPO) Using Machine Learning-Based DSP Prediction, Ranking, and Real-Time Slot Allocation,” and was filed on June 24, 2026.
According to the company, the proposed technology uses machine learning to predict and rank demand-side platforms before ad requests are sent, reducing the number of unnecessary requests and reducing the load on infrastructure. The system is designed to reduce programmatic advertising response times by allocating ad slots in real-time.
The company says the technology aims to make digital advertising workflows more efficient by reducing computing requirements while increasing ad delivery speed.
Commenting on the filing, Hiren Shah, founder and managing director of Vertoz, said, “We are extremely proud of this milestone. After all, our technology is about connecting people and brands in a way that feels natural and effortless. This patent is a testament to our commitment to building smarter, data-driven solutions that create real value for our partners while making the digital world an easier place to navigate.”
