Price and promotion reset
Applied to 4 offers across the selected scope.
Commercial simulation
Simulate every decision that matters.
Price, promotion, portfolio, launch—see what each option is worth, with the range around it, before the plan commits.
Decision pointC · +4.2%B · +3.1% · SelectedA · +1.4%No action
| Metric | Baseline | A | B · Selected | C |
|---|---|---|---|---|
| Revenue | 100.0 | 101.4 | 103.1 | 104.2 |
| Margin | 100.0 | 100.9 | 101.3 | 100.2 |
| Volume | 100.0 | 99.6 | 99.2 | 101.0 |
- Selective price +2.5%
- Promotion depth −4 pts
- Distribution +120 bps
What you can test
If you can propose it, you can simulate it.
Price & pack
Change list price, pack size, or the ladder across the portfolio.
Promotion
Change depth, timing, mechanics, or trade investment.
Distribution
Change reach by market, account, or channel.
Portfolio & assortment
Add, extend, or rebalance what a market carries.
Launch & delist
Introduce, replace, or retire—with transfer made explicit.
Scenario studio
From “what if” to a full answer in minutes.
Describe the move—products, prices, scope. Molsaro runs it through your own demand model and hands back the demand, financial, and share consequences, with the setup in plain sight.
Volume −0.8%
Own-product switching offsets most of the expected decline.
Margin +1.3 pts
Net revenue increases while trade investment falls.
- +3.1%
- Revenue
- −0.8%
- Volume
- +1.3 pts
- Margin
- Stable
- Share
Distribution build
Expand Product B to 68% weighted distribution.
Volume +1.9%
65 of every 100 gained units come from inside the category.
Margin +0.8 pts
Mix improves as the expanded offer lands in priority accounts.
- +2.4%
- Revenue
- +1.9%
- Volume
- +0.8 pts
- Margin
- +0.6 pts
- Share
Launch + delist
Introduce the mid-tier pack; retire the slow variant it replaces.
52% incremental
31% transfers from the delisted variant; the rest is switching.
Margin pending
Revenue +1.6%; margin unlocks when cost data is connected.
- +1.6%
- Revenue
- +1.2%
- Volume
- Pending
- Margin
- +0.4 pts
- Share
Source of growth
Know exactly where your growth comes from.
Every volume change is split into its sources—new demand, switching you win, switching you pay for—so the growth you bank is real, not borrowed from your own portfolio.
Demand affected by the move
For every 100 units affected, 65 stay inside the portfolio.
- Priority offers
- +3.4
- Rest of portfolio
- −2.1
- Competitors
- −0.5
The strongest move
Find the move that grows revenue and margin together.
Every alternative is scored on the same baseline. The strongest option stands out in seconds—and the ones that quietly give margin away are exposed just as fast.
Margin changeVolume changeB · Move premiumStrongest outcomeA · Hold priceC · Full portfolioBreaches volume floorVolume floor · 98.0
Confidence
Thousands of futures, already run.
Monte Carlo simulation returns the expected result, the upside, and the worst plausible day—so you commit with confidence, not hope.
Expected · 19.7%
18.0%20.6%
60% outcome range against the accepted baseline.
A high-price reaction changes the modeled value most.
Below the modeled expectation, the case no longer clears.
Decision handoff
From decision to committed plan—with the proof attached.
The approved case carries its expected outcomes, owner, and review milestones straight into planning—no re-keying, no lost rationale, nothing to defend twice.
Review pack · Scenario BReady for approval
Portfolio price architecture
Recommended · Proceed with the selective move and protect the entry offer
Hold the alternative if competitor response exceeds the agreed threshold. Margin range +0.7 to +1.9 pts across the modelled cases.
- Why this pathBest balance of margin, volume resilience, and risk.
- Watch conditionCompetitive reaction in the first six weeks.
Every figure links to the period, the source, and the model run behind it.
- Supported scope visible
- Assumptions preserved
- No fabricated inputs
The full platform
Test any move. Then go further.
- 01
Understand
Ask what happened and why—answers grounded in your own data.
- 02
Anticipate
See what is coming, with the accuracy record attached.
- 03
Simulate
Test any move before you make it—on your own demand model.
- 04
Optimize
Let the engine search every option for the strongest one.
- 05
Commit
Turn the chosen move into the plan of record.
Each capability feeds the next—the question you ask on day one becomes the plan you commit at the end of the quarter, without leaving the platform.
Questions commercial teams ask
What commercial teams ask us first.
Price and pack, promotion, distribution, portfolio and assortment, and launch or delist actions—alone or combined—evaluated against a named forecast baseline.
From the demand model trained on your own data—price, promotion, distribution, and substitution behavior estimated per product and market. Simulation never substitutes assumed values.
The scenario still runs for the supported questions. Unsupported parts are labeled rather than estimated, and your workspace admin can connect the missing feed to unlock the full financial readout.
The market scope includes competitor products. Modeled response shows expected switching in both directions, with a stated reaction assumption the team can challenge before relying on the result.
Every result names the data and model coverage behind it, so a reviewer can see which effects are estimated, which are held, and which are out of scope for the question asked.
A reviewed scenario becomes a planning case with its baseline, assumptions, owner, and watch conditions preserved—nothing is re-keyed, and the rationale travels with the decision.
Get started
See your next move before you make it.
Bring a live decision—pricing, promotion, portfolio, or launch—and we’ll model it in the demo, on data like yours.