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Spark playbook scenarios · Spark: AI Store Assistant

Calculate a percentage price increase for selected products

A merchant needs consistent price changes without violating margin targets or creating unintended rounding differences. In this case, the immediate task is to calculate a percentage price increase for selected products. The workflow should produce a pricing change table with margin exceptions, using the merchant's actual records and constraints.

Topic
Pricing and Bulk Price Updates
Target keyword
shopify increase prices by percentage
Copyable AI prompt

A prompt you can drop directly into Spark

First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.

ai-prompt.txt
Act as a Shopify operations specialist.
Help me calculate a percentage price increase for selected products.
My store context is [describe the business, products and target audience].

My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [provide current variant prices, cost basis, currency, pricing formula, margin constraints and rounding rule]. Calculate proposed prices, apply the stated rounding order, flag floor violations and show old price, new price and percentage change per variant.
Apply the requested percentage to the current price, then use the stated rounding rule and show the resulting effective increase.
Return a pricing change table with margin exceptions for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.
Use in Spark
How to solve

A recommended resolution workflow

Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.

01

Step 1

Start with current variant prices, cost basis, currency, pricing formula, margin constraints and rounding rule.

02

Step 2

Calculate proposed prices, apply the stated rounding order, flag floor violations and show old price, new price and percentage change per variant.

03

Step 3

Apply the requested percentage to the current price, then use the stated rounding rule and show the resulting effective increase.

04

Step 4

Deliver a pricing change table with margin exceptions; verify the result against the supplied records and identify unresolved inputs.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

Should rounding happen before or after the price adjustment?

The chosen order changes results. Define it explicitly and apply it consistently to avoid unexpected price differences.

Why check variant-level costs?

Different sizes or bundles can have different costs. A uniform percentage adjustment does not guarantee a uniform margin.

Why can the final percentage differ slightly from the requested increase?

Rounding can change the final amount. Show both the unrounded calculation and the final selling price.

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Next step

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