Signal learns how your company decides and turns it into a mathematical twin of the P&L. It recommends the trade-off, measures what the decision caused against a control group fixed in advance, and keeps every approval and rejection as knowledge.
A relational model that anticipates the P&L impact of a decision before it is taken. It starts from the tables a company already has: sell-in, sell-out, customer master, inventory, price and cost. Every number is labeled measured or estimated, and your own agents can read its context.
P&L Twin →RGM covers price, promotion, mix, assortment and trade spend. Supply & Planning covers demand forecast, inventory, service level and replenishment. Or bring your own agents. Each recommendation is simulated and ranked by its value in the P&L.
Every decision is registered with treatment and control units before it starts, and read back with difference-in-differences. Each method is labeled descriptive, predictive or causal, and only a causal one may promise an effect on the P&L.
Measurement →Every recommendation goes through review and approval by people independent of its author, and becomes an action with an owner and a due date. Every approval, rejection and readback is written to a log that is never deleted.
Decision orchestration →Every pilot starts with a Value Tree: 14 days to size the money on the table in RGM, Supply & Planning or your own agents, ending in a business case your CFO signs off.