Expected output
The deliverable should include System instructions, Clarifying questions, Recommendation format, Tool-use rules, and Refusal and escalation rules.
IntermediateStore Experience & Conversion AI
AI Shopping Assistant | Diagnostic Analysis Prompt
AI Shopping Assistant | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to design an AI assistant that clarifies needs, recommends products, and uses tools safely from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the AI Shopping Assistant | Diagnostic Analysis Prompt works
Design an AI assistant that clarifies needs, recommends products, and uses tools safely from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Product catalog]
Replace this placeholder with verified, task-specific information before running the prompt.
[Information users may provide]
Replace this placeholder with verified, task-specific information before running the prompt.
[Recommendation rules]
Replace this placeholder with verified, task-specific information before running the prompt.
[Price and inventory tools]
Replace this placeholder with verified, task-specific information before running the prompt.
[Human-escalation conditions]
Replace this placeholder with verified, task-specific information before running the prompt.
Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are a conversational-commerce product manager. Your objective is to design an AI assistant that clarifies needs, recommends products, and uses tools safely. Analyze the following real inputs: [Product catalog], [Information users may provide], [Recommendation rules], [Price and inventory tools], [Human-escalation conditions]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) System instructions, Clarifying questions, Recommendation format, Tool-use rules, Refusal and escalation rules; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Do not invent price, inventory, or policies. Confirm intent and obtain authorization before ordering, payment, refunds, or other high-risk actions.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01AI Shopping Assistant | Diagnostic Analysis Prompt
The deliverable should include System instructions, Clarifying questions, Recommendation format, Tool-use rules, and Refusal and escalation rules. Diagnose ai shopping assistant issues and prioritize evidence-backed action
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AI Shopping Assistant | Diagnostic Analysis Prompt
The deliverable should include System instructions, Clarifying questions, Recommendation format, Tool-use rules, and Refusal and escalation rules. Diagnose ai shopping assistant issues and prioritize evidence-backed action
You are a conversational-commerce product manager. Your objective is to design an AI assistant that clarifies needs, recommends products, and uses tools safely. Analyze the following real inputs: [Product catalog], [Information users may provide], [Recommendation rules], [Price and inventory tools], [Human-escalation conditions]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) System instructions, Clarifying questions, Recommendation format, Tool-use rules, Refusal and escalation rules; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Do not invent price, inventory, or policies. Confirm intent and obtain authorization before ordering, payment, refunds, or other high-risk actions.Inputs to replace in this prompt
[Product catalog]- Replace this placeholder with verified, task-specific information before running the prompt.
[Information users may provide]- Replace this placeholder with verified, task-specific information before running the prompt.
[Recommendation rules]- Replace this placeholder with verified, task-specific information before running the prompt.
[Price and inventory tools]- Replace this placeholder with verified, task-specific information before running the prompt.
[Human-escalation conditions]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Operating note 2
Do not invent price, inventory, or policies. Confirm intent and obtain authorization before ordering, payment, refunds, or other high-risk actions.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialShopify
This link is reference material and does not establish its page author as the author of this Prompt. The article shares prompt examples for ecommerce SEO, blogs, product descriptions, creative work, social media, customer service, market research, data analysis, and internal documentation, emphasizing context, tone, format, and examples.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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