Casino Floor and Pricing Optimization via Natural Language Analytics

• Difficult in searching and retrieving meaningful business insight and performance analytics in casino environment. Users need the ability to generate insights using natural language. • Inability to determine optimal product and pricing strategies. Currently, rely on try-and-error by manually setting different price points or product offering to evaluate its performance. Pricing means machine minimum bet amount, table game minimum bet amount. Product offering refers to optimum number of gaming table, slot and electronic table games, and the product type. • Floor optimization – difficult determining the ideal placement of slot machine type to maximize revenue

• Use natural language to generate instant business insights. • Provide product and pricing recommendations with revenue predictions. • Provide slot machine placement recommendations, e.g. popular machines at low-traffic areas to drive traffic.

Manually filter and retrieve info from BI platform, or export reports and further process the data in Excel. Experiment with different pricing, product offerings, and table/machine placement and monitor the result. This requires months of monitoring and repeated reconfiguration cycles.

• Manually filter and retrieve info from BI platform, or export reports and further process the data in Excel. • Experiment with different pricing, product offerings, and table/machine placement and monitor the result. This requires months of monitoring and repeated reconfiguration cycles.

The Casino Operation team.

• We have operational database with detail slot machine, gaming table and player transaction data, which includes length of play, time of play, total wager, winning, bill drop, average bet, machine info such as machine name, type, location, denomination/min bet (pricing), volatility (risk level), machine return percentage, etc. • In summary, a wide range and comprehensive data is available.

• Integration: possibly extract data from operation database • Deployment: on-premise preferred, but cloud solution can be explored too. • Infra: No specific requirements. • Compliance: standard IT security compliance requirements, e.g. protect the data from unauthorize access, etc.