SOFTSWISS Launches Games List Tool for Slot Portfolio Management
Aaron Mitchell
SOFTSWISS has officially launched the Games List tool for its Game Aggregator back office, designed to assist operators with their game content management. The new integration offers partnered operators a complete game catalog view in a single location, explicitly aimed at reducing the manual effort required to manage expansive title libraries as companies expand their operations into new jurisdictions.
Key Takeaways:
- SOFTSWISS has launched a Games List tool in its Game Aggregator back office, giving operators a single consolidated view of their game catalog with advanced filters for provider, RTP, volatility, and features.
- Each title offers detailed data on mechanics, devices, math, and licenses, streamlining tasks like enabling games, comparing titles, and verifying market availability before launch.
- An export function for downloading catalog data is currently in development.
Comprehensive Slot Filtering and Data Metrics
The Games List tool allows partnered operators to filter their extensive available catalogs using a variety of specific mathematical and categorical parameters. Users navigating the Game Aggregator back office can now sort their libraries by slot software providers, game category, release date, and specific in-game features. Crucially for slot management, the tool includes dedicated filters for return to player (RTP) percentages and volatility levels, allowing operators to fine-tune their offerings based on distinct player preferences.
Beyond top-level filtering, individual slot titles will feature a highly detailed view within the interface. This detailed breakdown highlights the online slot mechanics present in each title, alongside the supported devices for gameplay. Furthermore, the detailed view provides operators with the mathematical characteristics of the slots and the specific licenses attached to each game, streamlining the evaluation process for new content additions.
Streamlining Operational Tasks and Market Availability
By consolidating the entire game catalog into one centralized interface, Games List aims to significantly speed up routine content management for iGaming operators. The tool is specifically engineered to help operators with the practical steps of enabling games and checking availability across regulated slot markets without the need for manual aggregation across disparate systems.
The operational tasks directly supported by the Games List interface include reviewing and comparing different titles based on their core game characteristics, such as the inclusion of bonus games in slots. This structured format allows operators to inspect provider and game-level details efficiently, ensuring that content decisions are backed by accessible data. Additionally, operators can utilize the tool to verify license coverage and confirm market availability for each specific game prior to executing a launch.
Executive Insight and Upcoming Export Functionality
Gretta Kochkonyan, Head of Business Development and Partner Studios at the SOFTSWISS Game Aggregator, detailed the operational rationale behind the new back-office integration. “Operators often tell us that managing a large game portfolio can be challenging and time-consuming,” Kochkonyan stated. “They need better tools to navigate available content and identify opportunities for portfolio optimization.”
Kochkonyan further emphasized the tool's role in aligning operator offerings with player demand. “The Games List provides a clear and transparent overview of the catalogue, helping teams discover relevant content faster and make more informed decisions aligned with player preferences,” she added.
Looking ahead, SOFTSWISS is actively developing further enhancements for the tool. An export function is currently in the works for the Games List platform. Once deployed, this feature will allow operators to download the structured catalogue data and work with it outside of the immediate Game Aggregator back office, providing additional flexibility for external data analysis.


