Tangam Systems is seeing stronger demand for AI-driven casino analytics as operators look for faster ways to improve gaming floor performance. Demand is coming from casinos that want better recommendations without giving up control of sensitive data.
President Maulin Gandhi discussed the shift during G2E Asia 2026 in Macau. Tangam’s products include TYM for table games yield management and SODA for slot optimisation and data analytics.
Operators want one view of player behaviour
Tangam’s newer platform has grown from SODA Plus into a wider casino performance product. The aim is to bring data from table games, slots, electronic table games and customer activity into one operating view.
Casino teams still often manage products in separate systems. A customer may move between tables, slots and electronic games during one visit, but the operator can see those activities through different data channels. By joining those data points, AI tools can help casinos understand demand, product performance and player behaviour across the floor.
Trust remains the main barrier
Casino operators are interested in AI, but the industry is cautious about how it is used. Gaming floors deal with regulated activity, customer data, compliance duties and high-value commercial decisions.
Operators need tools that explain recommendations, protect data and support human decision-making rather than replace it outright. Tangam’s approach is built around recommendation-led analytics. Its systems are designed to support decisions on table spreads, game mix, pricing, labour allocation, slot placement and player reinvestment.
Recent deployments show wider adoption
Tangam has passed 200 casino property installations worldwide. Recent partnerships include Choctaw Casinos & Resorts, Delaware North casino properties and Logrand Entertainment Group in Latin America.
Those deals show how casino analytics is moving from reporting dashboards toward more active operational planning. Operators are using data tools not only to review past performance, but also to make decisions on staffing, product placement and floor yield.
The stronger interest in AI comes as casinos face higher labour costs, tighter margins and more pressure to use existing floor space better. For suppliers such as Tangam, the opportunity is to turn casino data into faster operating decisions.
