BetConstruct AI targets personalised casino experiences with recommendation systems

Personalisation strategy

BetConstruct AI aims to move from one casino experience for one million players to one million tailored experiences, according to Chief AI Officer Mushegh Khachatryan.

The company’s recommendation systems have delivered uplift ranging from high single digits to significantly higher levels across deployments, Khachatryan told SBC News. More mature implementations of the personalisation can improve turnover by around 10–15% in the areas where personalisation is applied, he said.

Operational Copilot and AI agents

BetConstruct has developed an Operational Copilot that allows operators to interact with AI systems through conversational interface, the company said. The AI can analyse millions of data points faster than a human and identify patterns in areas like CRM, analytics, player segmentation, campaign preparation, customer support, content discovery and operational monitoring, according to Khachatryan.

Risk detection and model testing

The company’s AI examines deposits, withdrawals, betting behaviour, bonus usage, game selection, account activity and changes from a player’s normal pattern to detect risky behaviour and bonus abuse, Khachatryan said.

BetConstruct’s architecture is model-agnostic and continuously tests new models against real iGaming use cases, he added. “When something is better, we can adopt it quickly,” Khachatryan said.