Pricing intelligence for games & digital assets.
Traditional AI optimises pricing across games and digital assets; a multi-agent GenAI layer turns real-time data into financial, risk, strategy and competitor insight.
A global games publisher needed to optimise pricing across its catalogue of video games and digital assets — and to make sense of pricing scenarios against fast-moving, real-time market data.
We paired traditional ML for price optimisation with a GenAI multi-agent layer that reasons over scenarios and live data — generating insight a pricing team can act on, not just a number.
A pricing optimisation engine (traditional AI) plus four GenAI agents that produce insight and reports on pricing scenarios and real-time data: a Financial Analysis agent, a Risk Analysis agent, a Strategy agent, and a Trend & Competitor Analysis agent.
- A price-optimisation engine for games & digital assets
- Four GenAI insight agents (financial · risk · strategy · trend)
- Real-time pricing-scenario reporting
- Delivered to production in 6 months (2025)
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