iGaming software solutions provider SOFTSWISS has shared its experience in implementing artificial intelligence (AI) tools into its everyday practice. The supplier says that AI has proven to be “a valuable asset,” revolutionizing real-time data analysis, player management, content personalization, and design.
SOFTSWISS notes that its Anti-Fraud team within its Managed Services played “a pivotal role” in saving operators over €16 million ($17.7 million) in 2022 by processing 61,810 requests. “It is hardly possible to analyze such data volumes by hand. That is where AI stepped in,” notes the provider.
The company further said that its Research and Development (R&D) department developed the Anti-Fraud Service, a real-time data analysis tool leveraging machine learning models to detect suspicious cases and bring them to the attention of the anti-fraud team experts.
Additionally, its recent updates have introduced an enhanced ability to assess the quality of affiliate traffic to ensure “a secure and trustworthy iGaming environment.”
The provider says that another valuable tool created by its R&D department is Business Metrics Monitoring and Management (BM3), a machine learning-driven system that analyzes key business indicators and identifies deviations on a near-real-time basis.
“BM3 helps identify potential issues more efficiently than traditional rule-based solutions, enabling prompt detection and troubleshooting to prevent negative impacts on client business and avoid financial losses,” says SOFTSWISS.
Vitali Matsukevich, COO at SOFTSWISS, comments: “AI is an effective tool for analyzing large data sets in real-time, but the final decision should still be left to an expert. While AI offers speed and efficiency, relying solely on AI for business decisions may not be advisable.”
Vitali Matsukevich, COO at SOFTSWISS
SOFTSWISS says that another area where AI has demonstrated its efficiency is player management. The provider notes that its R&D department developed a service called DOSSIER, which analyzes player behavior to enhance the gaming experience. DOSSIER predicts future actions, enabling operators to make timely and tailored offers.
For example, the system identifies players with high potential lifetime value (LTV) and allows operators to offer them special bonuses or assign individual managers. Such segmentation can be used across various scenarios.
SOFTSWISS Sportsbook also used AI to personalize content for players. AI-based tools enable the display of events according to player preferences. The system collects real-time data on player activity and then delivers the most relevant content, including suggested events particularly appealing to specific players or similar player groups.
Matsukevich adds: “When it comes to players, this approach helps reduce the time between bets and increase their amounts and player LTV. When players easily find exciting events tailored to their preferences, their gaming experience becomes more enjoyable, positively impacting overall business performance.”
SOFTSWISS notes that iGaming brand design is also employing AI. “At SOFTSWISS’ WebStudio, the implementation of generative artificial intelligence has become a game-changer,” says the company. The WebStudio primary goal is to deliver projects that not only meet “but exceed client expectations, offering exceptional service at every step of the way.”
“Through carefully crafted queries, AI generates a diverse range of images aligned with specified parameters, offering various compositions, details, and content, while preserving the essence of the original concept, in just minutes,” the company explains. “Such images then serve as a basis for further refinement by illustrators and animators, resulting in multiple templates shared with clients for additional development and finalization.”
Matsukevich summarizes AI usage for the industry: “Being innovators in the field, we continuously explore and test emerging tools, adapting worldwide trends to enhance the iGaming experience. The enormous potential of AI lies in its ability to optimize repetitive tasks and handle big data, improving overall efficiency.”
He concludes: “Nevertheless, we exercise prudence when integrating AI into decision-making processes, recognizing that unforeseen outcomes could result in financial losses. Striking the right balance between leveraging AI’s capabilities and maintaining human oversight is crucial to ensuring sustained growth and success.”