It leverages historical sales, competitor data, market signals, and real-time demand trends to deliver accurate forecasts and optimal pricing recommendations. With pre-built models like XGBoost, LSTM, and Prophet, deployment is accelerated, while the platform remains fully adaptable to client datasets, ERP/CRM systems, and market specifics.
The platform ensures adoption across business units and becomes the operating system for data-driven revenue decisions.
Key Features
01
AI-powered demand forecasting using multi-agent ML + LLM architecture
02
Dynamic pricing optimization based on real-time demand and competitor signals
03
Integration with ERP, CRM, and custom enterprise systems