Retail pricing optimizer agent

How it Works / How to Build It

1. DataValidation: This node checks the validity of input data, ensuring that required fields like SKU, product name, cost price, and current price are filled out correctly. It also calculates the current margin and assesses inventory status.
2. MarketIntelligenceAgent: This node gathers market intelligence by researching competitor pricing and analyzing market trends. It uses functions like competitor_research and market_trends to provide insights that inform pricing decisions.
3. UnifiedPricingEngine: This node evaluates various pricing strategies based on the data from the previous nodes. It uses a prompt to generate a comprehensive pricing recommendation, including the selected strategy, recommended price, and rationale.
4. PricingRecommendationOutput: This final output node presents the pricing recommendation generated by the Unified Pricing Engine, making it accessible for further use or display.

What You Can Use This For

• Retail pricing strategy development
• Competitive analysis for product pricing
• Margin optimization for inventory management
• Seasonal pricing adjustments based on market trends

Prerequisites

• Vellum account
• Access to product data (SKU, cost price, current price, etc.)
• Understanding of business rules for pricing (minimum and maximum margins, promotional budgets)

How to Set It Up

1. Clone the workflow template in your Vellum account.
2. Input your product data into the Inputs node, including SKU, product name, cost price, and current price.
3. Configure the DataValidation node to set your minimum and maximum margin percentages.
4. Set up the MarketIntelligenceAgent node to gather competitor pricing and market trends relevant to your product.
5. Connect the nodes in the specified order: DataValidation → MarketIntelligenceAgent → UnifiedPricingEngine → PricingRecommendationOutput.
6. Run the workflow to generate pricing recommendations based on the provided inputs and market analysis.