| Metric | Value | What it tells you | Copy |
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| Priority | Action | Why |
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| Scenario | Checkout total | Delta vs current | Total saved | Checkout deal | Note |
|---|---|---|---|---|---|
| {{ row.label }} | {{ row.value }} | {{ row.delta }} | {{ row.savings }} | {{ row.effective }} | {{ row.note }} |
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A discount only looks simple when you ignore the rest of the checkout. Real purchase math often includes quantity, a percentage markdown, a flat coupon, shipping, sales tax, and sometimes an inflation check for later comparison. This package puts those pieces in one place so you can see the discount story at basket level instead of estimating from a single sticker price.
The basic flow starts with original price, discount rate, and quantity. From there the package can also model a sales-tax percentage, a flat coupon applied after the percentage discount, a shipping fee added before tax, an optional scenario label, and an inflation uplift used only as a comparison preview. The result is a discounted total plus a line-by-line explanation of how the basket got there.
That is useful when the headline discount is not the whole decision. A 20 percent markdown can still feel less impressive once shipping and tax land on top. A smaller markdown can outperform a larger one if a flat coupon is also applied. The tool helps you separate those effects instead of folding them into one vague "savings" number.
The additional views are built for comparison. The metrics table shows per-item and basket-level calculations, the guidance tab turns the result into action-oriented notes, the chart compresses the main factors into a visual sequence, and the scenario ladder tests alternatives such as removing the coupon, adding one more item, or switching to pickup with no shipping.
The boundary is important: this is a scenario calculator, not a tax-law engine. The package applies one explicit order of operations for discount, coupon, shipping, and tax. Real checkout rules vary by jurisdiction, seller policy, and coupon type, so the result should be read as a transparent model of the package's logic rather than a guarantee that every retailer or tax authority will produce the same total.
Start with a plain baseline basket before adding extras. Enter the original price, discount rate, and quantity first, then look at the subtotal and final total before you add coupon, shipping, tax, or inflation. That gives you a clean anchor for later comparisons and makes it obvious which later input changed the outcome.
The metric that often matters most is not the displayed discount rate but the effective basket discount. The package calculates that from total savings relative to the pre-discount basket plus shipping baseline. That is useful because a large percentage markdown on a single item can still produce a modest basket effect once shipping is added back in, while a flat coupon can make a medium discount behave like a stronger overall deal.
Use the guidance tab when you are deciding what to test next. The built-in recommendations respond to discount depth, tax share, inflation settings, and quantity. The advice is not personalized finance planning, but it is a quick way to see whether the current result is being driven more by the markdown itself, the tax burden, or the basket size.
The scenario ladder is best treated as a comparison surface, not a forecast engine. It shows the current basket, the same basket without the coupon, a plus-one-item variant, and a pickup-style version without shipping. That makes it useful for "what if I buy one more?" or "what if shipping disappears?" questions, especially when the flat coupon is close to the basket subtotal.
Be careful when using the result for real checkout planning. Coupon treatment and taxable order are not universal. Some jurisdictions treat manufacturer coupons, store coupons, shipping, and taxable discounts differently. This package is still valuable because its math is explicit, but the safest habit is to compare the package result with the retailer's final checkout before you rely on it for a decision that depends on precise tax handling.
The calculation begins with original price per item, discount rate, and quantity. The package clamps discount and tax inputs to 0 to 100 percent, rounds quantity to a whole number of at least 1, and prevents negative coupon or shipping amounts. From that normalized input it computes the per-item discount, the post-discount price per item, and the discounted subtotal for the basket.
After the discounted subtotal is known, the package applies the flat coupon, but only up to the subtotal value. That means an oversized coupon does not create a negative basket; any unused coupon balance is ignored and generates a warning. Shipping is then added back before tax is calculated, and tax is applied to the resulting taxable base. The final total is the taxable base plus the tax amount.
Total savings are defined as the percentage-discount savings across the basket plus the coupon that was actually applied. Effective basket discount is then measured against the pre-discount basket plus shipping baseline. If an inflation rate is entered, the package multiplies the current total by one plus that rate as an uplift factor. It does not model compounding, future tax-law changes, or time-phased pricing; it is a single-step comparison figure.
The guidance model is separate from the numeric math but driven by it. Shallow discounts raise a stronger prompt to negotiate or improve the offer. Higher tax share triggers a prompt to compare tax-inclusive totals. A nonzero inflation setting produces an inflation-review recommendation, and lower quantities invite a quantity-break comparison. The scenario ladder reuses the same formula chain for four packaged comparisons: current basket, without coupon, plus one item, and pickup with no shipping.
The chart view is a condensed metric sequence rather than a separate financial model. It takes a subset of the computed rows and turns them into a cartesian comparison chart with image and CSV exports. The JSON bundle captures inputs, summary, metric rows, guidance, scenario ladder, and warnings, so the same run can be archived or passed along without manually retyping the assumptions.
| Metric | How the package derives it | Why it matters |
|---|---|---|
| Discount amount (per item) | Original price multiplied by discount rate | Shows the markdown before quantity or coupon effects |
| Subtotal | Post-discount price per item multiplied by quantity | Shows the discounted basket before coupon, shipping, and tax |
| Coupon applied | Minimum of flat coupon and discounted subtotal | Prevents the model from going below zero and exposes unused coupon balance |
| Taxable base | Subtotal minus coupon plus shipping, floored at zero | Makes the package's tax order explicit |
| Effective basket discount | Total savings divided by pre-discount basket plus shipping baseline | Explains how strong the basket deal really is |
| Inflation-adjusted total | Current total multiplied by one plus inflation rate | Provides a one-step comparison figure for later-price context |
| Scenario | What changes | Use case |
|---|---|---|
| Current basket | Keeps coupon and shipping in place | Baseline comparison |
| Without coupon | Removes the flat coupon but keeps the same discount rate and shipping | Separates coupon impact from percentage markdown |
| +1 item scenario | Adds one item at the same discount and fee pattern | Tests basket expansion |
| Pickup / no shipping | Removes shipping while keeping coupon and quantity | Shows whether delivery cost is the main penalty |
The summary total is the end of the package's model, not the whole story. The most useful interpretation usually combines final total, total savings, effective basket discount, and taxable base. Those four numbers tell you how much value came from the markdown itself, how much came from the coupon, and how much tax and shipping pulled back.
The scenario ladder is especially helpful when the basket feels borderline. If removing the coupon hardly changes the total, then the percentage discount is doing most of the work. If pickup without shipping drops the total sharply, delivery cost is the real pressure point. If adding one item barely moves the effective basket discount, the bulk effect is weaker than it looks.
Inflation-adjusted total should be read carefully. It is a one-step uplift of the current total, not a complete forecast. Treat it as a comparison prompt that asks, "What would this total look like after a simple percentage increase?" rather than as a promise about future retail or tax conditions.
A shopper sees a 15 percent discount and a flat coupon on the same basket. The metrics view shows the per-item discount first, then the extra coupon effect. The scenario ladder makes the comparison clearer by recalculating the basket without the coupon so the shopper can see how much of the final price is really coming from the extra code.
A basket looks cheap until shipping and tax are added. In the package, shipping moves into the taxable base before tax is calculated, so the final total can rise more than expected. The pickup scenario reveals whether removing shipping changes the decision more than increasing the discount rate would.
A buyer wonders whether adding one more item is still worth it. The plus-one-item scenario recalculates the basket with the same discount, coupon, and fee pattern, so the comparison can be made without re-entering the whole basket by hand.
The package only applies the coupon up to the discounted subtotal. Any amount beyond that is ignored rather than making the basket negative.
That is the explicit order used by the package's scenario model. Real checkout systems and tax rules vary, so treat the result as a transparent model rather than universal law.
It measures total savings against the pre-discount basket plus shipping baseline, so it shows how strong the whole deal is instead of just the percentage markdown alone.
No. It is a one-step uplift of the current modeled total using the entered inflation rate. It helps with comparison, not prediction.