Scenarios › Consulting
Assortment optimization per catena di distribuzione · Consulting · Beginner · 100 XP
The grocery chain's SKU count has grown 35% in 3 years but sales per SKU have declined 22%. The supply chain complexity is driving margin erosion. The user must structure an assortment optimization: sales velocity and margin contribution analysis by SKU, long tail identification, consumer purchase tree to identify substitutable SKUs, range reduction impact modelling on basket size and shopper attrition, and a category-by-category rationalisation roadmap.
Write the prompt you would give any AI (ChatGPT, Claude, Gemini, Copilot) to solve this real workplace scenario. Grace evaluates it in seconds across 7 dimensions: Role, Context, Objective, Constraints, Format, Audience, Efficiency: with a 0-100 score and coaching feedback. Your first 5 evaluations each day are free.
The grocery chain's SKU count has grown 35% in 3 years but sales per SKU have declined 22%. It is a beginner-level Consulting training scenario: you write the prompt you would give an AI to handle this situation, and Grace scores it from 0 to 100 with coaching feedback.
All of them. You train the prompt, and a great prompt works with ChatGPT, Claude, Gemini, Copilot, Mistral or any model your company uses: the 7 dimensions are model-independent.
You get 5 free evaluations every day, zero credit card required. That is enough to attempt "Assortment Optimization for a Distribution Chain", read the feedback and retry with a stronger prompt.
Completing this beginner scenario earns up to 100 XP. XP accumulates toward your level on Grace and unlocks badges and the certification exam.
Grace analyzes your prompt across 7 dimensions (Role, Context, Objective, Constraints, Format, Audience and Efficiency) and returns a 0-100 score, a percentile against other players and specific coaching feedback in about 10 seconds.
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