Personalization Scenarios
Our platform contains orchestration of AI algoriphms and approaches for empowering personalization scenarios in different complexity grade. Experienced marketer which worked with IT products can effectively use AI insights in order to fulfill own ideas and hypotesis
- Flexible and reliable approach to control АІ
- A/B testing functionality
- BPM modeling style
- Personalization governance center
- Union of all personalization methods and components
World-class AI
The platform includes best of the best AI algorithms for the prediction of user preference and recommendations which our team aligned for specifics of retail market reality. A set of algorithms covers different aspects of psycho of the consumer which helps very deliberately define the demands of people in any case by combining AI approaches all together
- People like you buy
- By your interests
- Regular purchases and associated buys
- Trend-based statistical methods
- Reinforcement learning and deep learning optimizations
- AI ensembles and cascade approaches
- AutoML for auto-optimization of AI
Realtime predictive analytics
One of the key modules of our platform is an analytics engine that is responsible for a clear understanding of the quality of AI approaches based on well-defined KPIs. We able to track results in real time and quickly react on dynamic tendentions of consumer behavior by passing experimental scenarios towards best system setup in each case
Rollout process
Experience of AI project’s rollout allowed us to build a clear and effective process of personalization platform provisioning and integration into digital channels of customers. We propose complex approach for implementation of personalized customer experience and provide support of project during all phases towards operational activity
- Audit and estimate of personalization promise
- Design of custom strategy of personalization establishment
- Setup and optimization for customer specifics and data
- Customization and extension of functionality basing on demands
- QA and reaching production state
- Support of operational state
AutoML optimization of AI
One of the key technical advantages of our platform is an ability of automate process of defining best AI configuration of algorithms aligning it with dynamicity of changes of behavior and environment. Algorithms dynamically adopting to different models of retail cases
Extention Model
Design of platform is based on composable architecture which welcomes extensions and customization in order to achieve best possible flexibility covering wide range of different customers demands. Platform allows extending and modify functionality of existing toolset in very detailed way
- Elaborate new AI approaches
- New components of personalization orchestration
- API extensions
- Additional and modified capabilities of analytics
- Different type of personalization service clients
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