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EngineeringDecember 28, 2025Engineering Team

How AI is Revolutionizing IPO Allotments

Using machine learning to analyze subscription data and automate applications across multiple family accounts.

The IPO Frenzy

With SME IPOs seeing massive oversubscription, the probability of allotment has dropped significantly. Retail investors often miss out simply due to the logistical friction of managing applications across multiple family demographics.

Our Data-Driven Approach

DhanYatri's IPO module doesn't predict stock prices. Instead, it aggregates real-time data on Subscription Rates (QIB/NII/Retail) and Grey Market Premium (GMP) trends to provide a calculated "Interest Score". This helps users decide which IPOs align with their risk appetite.

The Automation Edge

We solve the "User Fatigue" problem. Instead of logging into 5 different bank accounts to apply for family members, DhanYatri automates the UPI mandate requests. This ensures valid applications are placed before the cutoff time, strictly adhering to exchange rules.

Note: Past performance of IPOs or GMP signals is not indicative of future listing gains. IPO investments are subject to market risks, including loss of capital.

Related Topics

IPO GMPGrey Market PremiumIPO AutomationAI Prediction