E-Commerce & Retail Guide

Purpose: Create SEO-optimised product descriptions that convert browsers into buyers

Inputs:

• Product name and specifications
• Target audience profile
• SEO keywords list
• Brand voice guidelines

Task Instructions:

Create a compelling product description for {product_name} with specifications 
{product_specs}. Target the description to {target_audience} and naturally 
incorporate {seo_keywords}. Follow {brand_guidelines} for tone and style. 
Generate a product title, short description (150 characters), full description, 
feature bullet points, and meta tags.

Outputs:

• Optimised product title
• Short description (150 characters)
• Full product description
• Feature bullet points
• Meta description and tags

Integration: New product upload, bulk catalogue update, publish to storefront, sync across channels

Purpose: Automatically classify products into appropriate departments, collections, and taxonomies

Inputs:

• Product name and description
• Product attributes (colour, size, material, etc.)
• Available categories and taxonomy structure
• Category assignment rules

Task Instructions:

Classify {product_name} with attributes {product_attributes} into appropriate 
categories from {category_structure}. Consider product description 
{product_description} and apply {assignment_rules}. Assign primary category, 
relevant subcategories, and collection tags. Identify any missing or ambiguous 
categorisation.

Outputs:

• Primary category assignment
• Subcategories and collections
• Tag recommendations
• Confidence score for classification
• Ambiguous cases flagged

Integration: Product import, catalogue reorganisation, update category fields, flag for manual review if uncertain

Purpose: Extract insights, sentiment, and actionable feedback from customer product reviews

Inputs:

• Review text and star rating
• Product information
• Review metadata (date, verified purchase)
• Previous review patterns

Task Instructions:

Analyse customer review: {review_text} with rating {star_rating} for 
{product_name}. Extract sentiment, identify key themes (quality, value, fit, 
functionality), and highlight specific product strengths and weaknesses. 
Compare against {review_patterns} to detect recurring issues. Suggest product 
listing improvements or quality concerns.

Outputs:

• Sentiment score and classification
• Key themes and topics mentioned
• Product strengths highlighted
• Issues and improvement areas
• Listing update recommendations

Integration: New review submission, scheduled batch analysis, update product insights dashboard, flag quality issues

Purpose: Track competitor pricing and identify opportunities for price adjustments

Inputs:

• Product identifier and current price
• Competitor product URLs or data
• Pricing strategy parameters
• Market positioning guidelines

Task Instructions:

Monitor pricing for {product_name} currently at {current_price}. Compare against 
competitor prices from {competitor_data}. Consider {pricing_strategy} including 
margin requirements and market positioning from {positioning_guidelines}. 
Identify price gaps, recommend adjustments, and flag significant market changes.

Outputs:

• Competitor price comparison
• Price positioning analysis
• Recommended price adjustments
• Market opportunity identification
• Alerts for significant changes

Integration: Scheduled monitoring (daily/weekly), competitor price change detection, trigger repricing workflow