The Quicklizard Elasticity Dashboard gives you an objective, data-driven assessment of portfolio strength and revenue risk. See — at a glance — which products you can reprice for margin, and which revenue is fragile and needs protecting, all in one view. It is powered by the new Elasticity 2.0 model.
The Elasticity Dashboard is now live, built on the new Elasticity 2.0 model — higher-accuracy, causal elasticity with full coverage across your entire catalog.
Elasticity 2.0: the model behind every recommendation
Price elasticity measures how sensitive demand is to a change in price. In plain terms, it tells you which products you can reprice safely — and which ones will lose volume the moment you touch the price. Every insight in this dashboard is built on it — and Elasticity 2.0 is the engine that makes it accurate.
A small price rise drives a large drop in volume. These products are vulnerable — the guidance is to protect price.
Demand barely reacts to price. There's room to raise price and capture margin with minimal volume loss.
On every chart, elasticity is shown in buckets running from <-3.5 (Very Elastic) on the left to ≤0 (Inelastic) on the right. The further left a product sits, the more sensitive it is to price.
What's new in Elasticity 2.0
Earlier elasticity estimates could be skewed by everything happening around a price change — a holiday spike, a competitor undercut, or a stock-out. Elasticity 2.0 was built to separate the true effect of price from all of that noise, and to leave no product without a value.
Higher accuracy with Machine Learning
Elasticity 2.0 uses Machine Learning to isolate the price coefficient from confounding variables — estimating the true causal impact of price rather than a correlation muddied by other factors. The model explicitly accounts for:
Seasonality
Cyclic features — month, day of week, and year — so holiday demand isn't mistaken for price sensitivity.
Competitor intensity
Competitor price gaps and index changes are regressed out, so a rival's move isn't read as your elasticity.
Availability
Stock-out days are filtered to remove false demand signals — no sales because there was no stock ≠ no demand.
Accurate demand predictions
Tailored demand modeling that accurately captures real consumer behaviour.
Full coverage for every product
A fallback ladder guarantees an elasticity value for every product — even where sales history is thin. The model always uses the most accurate level available, then steps down only when it has to:
Because the dashboard shows how much of your catalog sits at each level (see the Granularity widget), you always know how confident to be before approving automated price changes.
Why it matters: the business value
Before this dashboard, pricing and category managers struggled to see how price sensitivity hits the bottom line. The Elasticity Dashboard closes three specific gaps:
Revenue protection
Surfaces high-revenue strategies that are highly elastic — "fragile revenue" that's one price hike away from churn — so they get cautious pricing.
Optimization opportunity
Highlights inelastic categories where margin can be captured aggressively with minimal volume loss.
Portfolio risk assessment
Visualizes how many SKUs sit in high-sensitivity ranges — turning hours of manual cross-referencing into one glance.
Confidence to automate
Transparency into where each elasticity value comes from gives teams the trust to move toward auto-pilot pricing.
Assess risk → optimize pricing power → automate with confidence → build trust — and feed results back into the next pricing cycle.
Anatomy of the dashboard
The dashboard is organized into a header of global controls and four widgets, moving from macro risk to micro execution:
Click any numbered pin to jump straight to that widget's guided walkthrough below.
The widgets & how to use them
Each widget answers a different question — and most are clickable, taking you straight from insight to action. Clickable elements turn blue on hover.
Maps every pricing strategy by SKU density, sensitivity and revenue so you can spot the financial "center of gravity" — and prevent blind price moves.
What it tells you
- Fragile Revenue Large bubble + far left = high revenue that's highly elastic. Price defensively.
- Operational Bloat High SKU count + small bubble = lots of effort, little return. Consider consolidating.
- Where your portfolio's financial weight really sits across strategies.
How to use it
- Discover: hover a bubble to reveal strategy name, weighted-avg elasticity, 30-day revenue and total SKUs.
- Investigate: click the strategy name to open its dedicated Strategy page and audit the rules.
- Act: click the SKU count to jump to the Product Recommendation Page (PRP), pre-filtered to those at-risk items.
A donut chart showing the confidence level — i.e. the source — of your elasticity calculations. Before approving aggressive price changes, you can see how much rests on hard SKU-level data versus a generic default.
What it tells you
- SKU Level (Calculated): the gold standard. A high share here clears the path for auto-pilot pricing.
- Cluster Level (Estimated) and Propagated (Inherited): reliable, but a step removed.
- Fallback (Default): a KPI for Data Science — high values flag products whose models should be refined.
How to use it
- Read the center total — it shows the total #SKUs represented.
- Toggle between SKU distribution (coverage, the default) and Revenue distribution (financial exposure); segments animate to their new proportions.
- Hover any segment or legend item for the level name, SKU count, % of SKUs, revenue and % of revenue.
A ranked table of categories by revenue-weighted average elasticity, with a Level 1–5 toggle to drill into sub-categories. Weighting ensures a $1,000 headliner drives the score — not a $10 accessory.
What it tells you
- Pricing Power Inelastic categories where you can raise prices for margin.
- Inter-category subsidy: raise prices in resilient categories to fund aggressive promotions in elastic ones.
- Hidden pockets: a broad category may look elastic, but a Level 4 sub-group can reveal hidden margin.
How to use it
- Read the table top-down — columns show category, weighted elasticity (with a visual bar), SKU count and total revenue.
- Use the Level dropdown (1–5) to change granularity. It opens on Level 1 by default.
- Drill into deeper levels to locate specific sub-categories with pricing power.
Categories are exactly as defined in your Configurator (Category Level 1 to 5), so the table mirrors your own catalog structure.
The health check for your whole assortment. It answers: is our revenue coming from items people need (inelastic), or items they only buy when they're cheap (elastic)?
What it tells you
- Defensible brand strength: a right-heavy distribution means revenue rides on essential, loyal-purchase items — strong pricing power.
- Commodity vulnerability: a left-heavy distribution means revenue depends on low prices — exposed to competitor price wars.
How to use it
- Hover any bar to see the elasticity range, total revenue and SKU count for that bucket.
- Spot a spike in a very-elastic bucket (e.g. <-3.5)? Click that X-axis label.
- You land on the PRP filtered to that elasticity range — ready to adjust floor prices on the most volatile SKUs.
Comments
0 comments
Article is closed for comments.