Stable
📈 Live history is activating for this object — the automated backfill is in progress.
⌁ mcp.call("adw-016") v1.0 Identify underperforming promotional investments to reallocate trade spend toward high-elasticity categories for maximum revenue lift.
📈 Live history is activating for this object — the automated backfill is in progress.
⌁ mcp.call("adw-016") v1.0 Calculate price elasticity of demand using historical sales volume and discount depth data, then compute the gap between actual promo ROI and the theoretical maximum ROI to generate a prioritization s
Version 1.0 · validated to beat a naive baseline · benchmark: NielsenIQ-adjacent