Dynamic Pricing Agent

Agent Description:

The Dynamic Pricing Agent is an AI-powered system designed to automate and optimize pricing decisions by integrating real-time demand patterns, competitor pricing intelligence, and supply chain dynamics. It helps businesses maintain competitive pricing while safeguarding margins and inventory stability.

Purpose and Components
  • Purpose: To synthesize multiple data signals—sales trends, competitor benchmarks, and logistical insights—to recommend optimal pricing actions at the product level.
  • Components:
    • A Demand Analysis Agent to identify shifting customer interest and purchase patterns.
    • A Pricing Analysis Agent to benchmark internal prices against competitor pricing.
    • A Supply Analysis Agent to evaluate supply chain disruptions and availability.
    • A Pricing Strategy Agent to generate final pricing recommendations based on all inputs.
Supported Capabilities
  • Detecting high- and low-demand products through trend and seasonality analysis.
  • Comparing in-house prices against real-time competitor pricing.
  • Identifying supply chain risks including lead time spikes and delay alerts.
  • Providing clear pricing guidance: Increase, Decrease, or Hold.
  • Outputting pricing decisions with percentage change and rationale per product.
LLM Used

  • Google Vertex

    Note: To learn more about the LLM and to modify its behavior, refer to the Configuring LLM settings section.

Sub-Agents

1. Demand Analysis Agent

  • Role: Demand Analyzer.
  • Scope: Analyze sales patterns and seasonal fluctuations to highlight demand shifts.
  • Description: This subagent connects to a live sales database using the GET API and examines key indicators such as units sold, revenue, and sales dates. It identifies products with increasing or declining demand, detects seasonality and stagnation patterns, and surfaces product categories with volatile performance. The output includes a demand score per product, the direction of demand trend, and potential growth opportunities.
  • Tool Used: GET Request Tool

2. Pricing Analysis Agent

  • Role: Pricing Analyst.
  • Scope: Classify pricing positions and identify margin optimization opportunities.
  • Description: This subagent ingests competitor pricing data via a GET API and evaluates how current internal prices stack up against the average market price. Each product is categorized as priced Higher, Lower, or Matched relative to competitors. It flags items with above-average prices that may risk sales loss, as well as underpriced items that may allow margin expansion.
  • Tool Used: GET Request Tool

3. Supply Analysis Agent

  • Role: Supply Evaluator.
  • Scope: Evaluate delays and disruptions that could affect product pricing decisions.
  • Description: This agent uses the Search Tool or API sources to detect any recent or ongoing supply chain issues. It examines product-wise logistics conditions such as lead time fluctuations, delay trends, and supplier-related news. Products are classified by delay risk (High, Low, or None), and inventory management notes are attached accordingly to inform downstream pricing decisions.
  • Tool Used: GET Request Tool (or Search Tool, if external news is required).

4. Pricing Strategy Agent

  • Role: Pricing Strategist.
  • Scope: Deliver product-level pricing actions combining demand, competitor, and supply data.
  • Description: Serving as the final decision-making layer, this agent takes structured input from all upstream agents. For each product, it considers demand trends (e.g., rising or falling), market position (price compared to competitors), and supply health (stable or at risk). Based on these combined inputs, the agent recommends one of three pricing actions—Increase, Hold, or Decrease—and suggests a new price with rationale and expected percentage change.
Tools Used
  • GET Request Tool – For accessing real-time patient appointment data.
Note: For details on modifying the Tools, refer Tools Library section.
Agent Workflow Behavior Summary
  • The Demand Analysis Agent monitors product trends and scores them by current popularity.
  • The Pricing Analysis Agent evaluates the internal pricing strategy against live competitor data.
  • The Supply Analysis Agent identifies external risks that may affect availability or urgency.
  • The Pricing Strategy Agent consolidates all three inputs to produce clear, data-backed pricing decisions with justifications and new price suggestions.
Sample Questions:
  • Which products have stable demand and supply and should maintain current pricing?
  • Which products are at risk due to aggressive competitor pricing?
  • What’s the expected revenue impact if we follow your recommended pricing changes?