DATA POEM's POEM365 is the world's first pre-trained Large Causal Foundation Model for retail growth — unifying growth planning, forecasting, and optimization across every demand driver in one model. Its forecasting engine outperformed the winner of the M5 Forecasting Competition, the most rigorous retail-demand benchmark in the world, which was run on Walmart data. Trusted by Fortune 500 companies across CPG, retail, automotive, and e-commerce — 40+ brands, $2B+ in growth budgets planned. Bharath brings with him two decades of experience driving growth for iconic brands across retail, CPG, and automotive — and a builder's conviction that the fragmentation era in retail marketing is finally over.