Elasticity
A dual-level model — SKU signal reconciled with brand × sub-channel — using log-log WLS with temporal decay weighting. An R-squared floor gates confidence, so a zero-fit series can never be flagged optimization-ready.
→ Promotions
For Revenue Growth Management
Bridges that reconcile exactly. Elasticity you can defend.
Price, promotion, portfolio, profitability — decomposed to the penny.
PVM and gross-to-net bridges that reconcile exactly and say so on screen. Elasticity gated by an R-squared floor, so zero-confidence fits never reach the optimizer. And an optimizer that recommends the shallowest profitable discount — never a reflexive deeper cut.
What you'll surface
The questions RGM lives on.
Price, promotion, portfolio and profitability are one conversation, not four. Every answer below reads from the same canonical model — so the elasticity you act on and the bridge you present in the review are built from the same numbers.
- When gross profit moved, how much was price, volume, mix, trade and cost?
- Where is list price leaking to net — and how much of that can we actually control?
- How price-elastic is each brand, and which fits are trustworthy enough to act on?
- What discount depth actually maximizes profit — not just volume?
- Are customers trading up or trading down, and is the mix improving or eroding?
- For this customer, do we stop, deepen, trim or hold the promotion?
What IDCOM.ai delivers
What IDCOM.ai delivers to RGM.
Six things the RGM seat needs from an intelligence operating system — each one running in production today, in the modules named below the card.
Incrementality
A causal baseline (TSB, Holt-Winters or Holt/SES by series behaviour) separates true incremental volume from what would have sold anyway, with halo and cannibalization attributed and a validation tab to check the work.
→ Promotions
Pricing and scenario simulation
Scenario simulation across six discount depths against a profit-and-ROI objective, on a constant-elasticity response curve anchored to your observed calibration point — so the recommendation follows your data, not a generic curve.
→ Promotions
Mix optimization
Premiumization vs down-trading on category-local price tiers, with HHI concentration. Mix lenses re-attribute the same bucket at different dimensions — and the page says out loud that they do not sum to total mix.
→ Variance & RGM
PVM and gross-to-net bridges
Delta = volume + price + mix + NPI + delist, and gross profit adds trade and cost. It reconciles exactly, and the page renders a reconciliation line that says so — if it ever fails, that is an engine bug, not rounding.
→ Variance & RGM · Financials
Revenue recommendations
An action list per customer — Stop, Increase, Decrease or Maintain — plus a portfolio-health read that grades on the worst of its four sub-statuses, never the flattering average.
→ Promotions · Variance & RGM
What isn't here yet
Pricing simulation today runs through the promotion optimizer's discount ladder. A dedicated pricing-recommendation surface, and one unified commercial action plan spanning every module, are on the roadmap — you can see exactly where on the capability map.
Ready to see it on your data?
Request a demo and we'll walk you through the modules with sample data shaped like yours.
Request a demo