Expected output
The deliverable should include Baseline forecast, Scenario forecasts, Error and confidence interval, Demand drivers, and Review plan.
IntermediateSupply Chain & Fulfillment AI
Demand Forecasting | Diagnostic Analysis Prompt
Demand Forecasting | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to forecast SKU demand and explain seasonality, promotions, price, channel, and external drivers from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the Demand Forecasting | Diagnostic Analysis Prompt works
Forecast SKU demand and explain seasonality, promotions, price, channel, and external drivers 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.
[At least 24 months of sales history]
Replace this placeholder with verified, task-specific information before running the prompt.
[Stockout flags]
Replace this placeholder with verified, task-specific information before running the prompt.
[Promotions and price]
Replace this placeholder with verified, task-specific information before running the prompt.
[Holidays]
Replace this placeholder with verified, task-specific information before running the prompt.
[Lead time and units]
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 retail demand-planning analyst. Your objective is to forecast SKU demand and explain seasonality, promotions, price, channel, and external drivers. Analyze the following real inputs: [At least 24 months of sales history], [Stockout flags], [Promotions and price], [Holidays], [Lead time and units]. 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) Baseline forecast, Scenario forecasts, Error and confidence interval, Demand drivers, Review plan; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Use a Situation-Task-Constraints-Output structure. Specify units such as pieces, cartons, or pallets, and do not treat stockout-period sales as true demand.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Demand Forecasting | Diagnostic Analysis Prompt
The deliverable should include Baseline forecast, Scenario forecasts, Error and confidence interval, Demand drivers, and Review plan. Diagnose demand forecasting issues and prioritize evidence-backed action
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Demand Forecasting | Diagnostic Analysis Prompt
The deliverable should include Baseline forecast, Scenario forecasts, Error and confidence interval, Demand drivers, and Review plan. Diagnose demand forecasting issues and prioritize evidence-backed action
You are a retail demand-planning analyst. Your objective is to forecast SKU demand and explain seasonality, promotions, price, channel, and external drivers. Analyze the following real inputs: [At least 24 months of sales history], [Stockout flags], [Promotions and price], [Holidays], [Lead time and units]. 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) Baseline forecast, Scenario forecasts, Error and confidence interval, Demand drivers, Review plan; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Use a Situation-Task-Constraints-Output structure. Specify units such as pieces, cartons, or pallets, and do not treat stockout-period sales as true demand.Inputs to replace in this prompt
[At least 24 months of sales history]- Replace this placeholder with verified, task-specific information before running the prompt.
[Stockout flags]- Replace this placeholder with verified, task-specific information before running the prompt.
[Promotions and price]- Replace this placeholder with verified, task-specific information before running the prompt.
[Holidays]- Replace this placeholder with verified, task-specific information before running the prompt.
[Lead time and units]- 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
Use a Situation-Task-Constraints-Output structure. Specify units such as pieces, cartons, or pallets, and do not treat stockout-period sales as true demand.
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 materialSurePrompts
This link is reference material and does not establish its page author as the author of this Prompt. The author provides prompts for inventory, forecasting, suppliers, routing, warehouses, and procurement, requiring SKU velocity, lead time, order volume, cost, and constraints to avoid generic textbook output.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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