Product
WebDesktopElasticity Analysis
Bayesian price elasticity — in the browser, or fully inside your network.
The analysis layer
Where the numbers come from.
Elasticity Analysis is the analytical side of pricing. Walk your product hierarchy from category to SKU, fit Bayesian elasticity posteriors per segment, and produce optimal prices grounded in how demand actually responds — not point estimates that hide their own uncertainty.
Every result rolls up to the hierarchy node you’re looking at. Inspect price–quantity scatter and timeseries at every level. Review diagnostic plots and posterior distributions before a single price moves — and carry the credible intervals through to the optimiser so every price ships with the uncertainty you actually have.
Spec
- Inference
- Bayesian posteriors
- Input
- Sales transactions
- Output
- Optimal prices + credible intervals
- Model
- Proprietary hierarchical model
- Runs in
- Your browser, or your network
- Pairs with
- Resolve
The analyst’s core loop, as building blocks.
The things you do in Elasticity Analysis, over and over — aggregate data, vizualise it, fit the model, optimise the price.
Aggregate data
Determine which level of aggregation (product, category, region, etc.) to analyze data. Results roll up to whichever node you're standing on.
Elasticity scatter
Price–quantity scatter and timeseries at every level of the hierarchy. See the response before you commit to a model — and inspect the fit, not just its number.
Posterior fits
Bayesian elasticity per segment, expressed as a posterior distribution — not a point estimate. You see the uncertainty, not just the median, before a single price moves.
Price optimisation
Optimal prices solved directly from the fitted model. Credible intervals carry through the optimisation, so every price ships with the uncertainty you actually have.
Analyst loop
One tight loop, five steps.
Elasticity Analysis is structured around how pricing analysts actually work — not how data scientists ship notebooks.
- 01Import
Connect transaction history from your warehouse, ERP, or a flat CSV export.
- 02Aggregate
Navigate the product hierarchy. Inspect scatter and timeseries at every level.
- 03Fit
Run Bayesian fits per segment. Posteriors in seconds, not overnight.
- 04Optimise
Solve for optimal prices under your margin and demand constraints.
- 05Roll up
See the result at whichever node you're standing on — SKU, brand, or category.
Runtime
Web service, or fully inside your network.
Elasticity Analysis is one codebase shipped two ways. Desktop exists because some clients can’t put transaction data in a SaaS — and we don’t want that to be the reason a pricing project doesn’t happen.
| Capability | WebWeb serviceHosted, shared, always-on | DesktopDesktop, inside your networkNo data leaves the perimeter |
|---|---|---|
| Data location | Our managed cloud | Fully inside your network |
| Onboarding | Sign in | Install on analyst workstation |
| Access model | Shared team workspace | Single workstation, per user |
| Security review | Standard SaaS review | Standard enterprise software review |
| Best for | In-house pricing teams wanting always-on shared access | Consultancies, regulated industries, procurement-locked clients |
Contact
Let's talk pricing.
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