Retail & E-Commerce
Dynamic Pricing & Promotions
4 autonomous agents optimize pricing and promotions in real-time. 18% gross margin improvement.
Agentic AI Workflow
4 agents run in parallel to analyze margins, forecast demand, personalize promotions, and ensure tax compliance
The Challenge
Static pricing and blanket promotions were eroding margins without driving incremental volume
A multi-category online retailer with 200K SKUs was updating prices quarterly based on cost-plus models. Competitors changed prices multiple times daily, causing the retailer to be overpriced on price-sensitive items and underpriced on products with low price elasticity.
Promotions were applied as blanket discounts across categories, with 40% of promotional spend going to items that would have sold at full price. The merchandising team had no way to measure incremental lift per promotion. Gross margins had declined 3 points over 2 years despite growing revenue.
The retailer needed real-time competitive pricing, demand-curve-based optimization, and promotion effectiveness measurement.
The Solution
Agents that monitor competitors, model elasticity, set prices, and evaluate promotions
Vijan.AI deployed 4 autonomous agents. The Competitor Scraper monitors pricing across 15 marketplaces and competitor sites for all 200K SKUs. The Elasticity agent models demand curves per SKU using historical sales data, competitor pricing, and seasonality. The Pricing agent sets optimal prices via PIM API, balancing margin targets against competitive positioning and demand elasticity. The Promo Evaluator measures incremental lift per promotion, identifying which discounts drive new sales vs. cannibalize full-price demand.
Autonomous Agents
How each agent reasons, decides, and acts
Step 1 · Margin
Margin Analysis Agent
Real-Time Margin Analysis
Calculates product margins, price elasticity, and optimal pricing to maximize profitability.
Input
Cost data, current prices, sales volume, competitor prices
Output
Margin reports with pricing recommendations
- Calls margin calculation tool to compute gross margin per product and category
- Calls elasticity modeling tool to predict sales impact of price changes
- Autonomous decision: recommend price increases for inelastic items, discounts for excess inventory
- Routes margin insights to pricing engine for dynamic price updates
Step 2 · Demand
Demand Forecasting Agent
Demand-Based Pricing Optimization
Adjusts prices dynamically based on demand forecasts, inventory levels, and competitive positioning.
Input
Demand forecasts, inventory levels, competitor pricing, market trends
Output
Dynamic price adjustments
- Calls price sensitivity tool to model demand response to price changes
- Calls competitor tracking tool to monitor market prices and positioning
- Autonomous decision: increase prices during high demand, markdown slow-moving inventory
- Routes pricing recommendations to promotion and tax compliance agents
Step 3 · Personalization
Personalized Promotions Agent
Personalized Promotion Engine
Generates targeted promotional offers tailored to customer segments, purchase behavior, and price sensitivity.
Input
Customer segments, purchase history, promotion budget, inventory targets
Output
Personalized promotion codes and offers
- Calls offer generation tool to create discounts, bundles, and loyalty rewards
- Calls segment targeting tool to assign offers to high-propensity customers
- Autonomous decision: limit discount depth for loyal customers, aggressive offers for at-risk segments
- Routes promotions to marketing channels (email, app, site) for execution
Step 4 · Tax
Sales Tax Compliance Agent
Automated Sales Tax Compliance
Calculates sales tax in real-time based on customer location, product taxability, and local regulations.
Input
Customer location, product category, tax nexus rules, transaction value
Output
Tax amounts with jurisdiction breakdown
- Calls nexus check tool to determine if business has tax obligations in customer location
- Calls rate lookup tool to retrieve current tax rates by jurisdiction
- Autonomous decision: apply correct tax rate, exempt non-taxable items (groceries, clothing in some states)
- Routes tax data to checkout, accounting, and regulatory reporting systems
Results
Measurable impact within 90 days of deployment
Margin Improvement
Gross margin improved from 32% to 37.8% through demand-curve pricing and elimination of margin-dilutive promotions.
Incremental Profit
Annual profit improvement from optimized pricing across 200K SKUs and data-driven promotional spend.
Price Updates
Prices updated 6 times daily based on competitive moves and demand signals, up from quarterly manual reviews.
Promo Efficiency
Promotional spend redirected from blanket discounts to targeted offers with proven incremental lift.
Implementation
From pilot to production in 12 weeks
Agent Design & Tool Integration
Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.
Shadow Mode & Autonomous Tuning
Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.
Full Autonomous Deployment
Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.
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