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Case Study: Inventory & Pricing

Retailer Improves Margins 15% with AI Pricing Intelligence

Specialty Retailer40 employees23 days to production
15%15%
Margin Lift
Retailer Improves Margins 15% with AI Pricing Intelligence

The Full Story

This specialty retailer competed in a category with razor-thin margins and aggressive competitors. Their pricing process was manual: check competitor sites quarterly, update spreadsheets, hope for the best. By the time they spotted a pricing problem, they'd already lost sales.

We deployed automated monitoring across their competitive landscape, tracking prices, stock levels, and promotions across 50+ competitor SKUs in real-time. The AI generates pricing recommendations based on their margin targets and inventory position. Humans approve every price change, but now they're making decisions with data instead of guesswork.

The Challenge

Pricing decisions based on gut feel and quarterly competitor checks. No visibility into real-time competitive positioning. Margins eroding as competitors adjusted prices faster.

Our Solution

Built automated competitive price monitoring across 50+ competitor SKUs, with AI-powered pricing recommendations based on margin targets, inventory levels, and market position.

AI Pricing Intelligence System

Real-time competitive monitoring with AI-powered pricing recommendations

1
Competitor Sites
API

Automated scraping of competitor pricing

  • -50+ competitor SKUs tracked
  • -Price changes detected in minutes
  • -Promotion tracking
2
Data Collection
AUTOn8n

Real-time price and stock monitoring

  • -Continuous monitoring
  • -Stock level detection
  • -Promotion identification
3
AI Analysis
AIOpenAI

AI processes competitive landscape

  • -Price positioning analysis
  • -Demand signal detection
  • -Trend identification
4
Inventory Data
DATA

Current inventory and velocity data

  • -Real-time stock counts
  • -Sales velocity metrics
  • -Seasonal patterns
5
Price Recommendations
AIAnthropic

Optimal pricing based on all factors

  • -Margin target optimization
  • -Competitive positioning
  • -Inventory-aware pricing
6
Manager Approval
HUMAN

Pricing team reviews and approves changes

  • -One-click approval
  • -Bulk change review
  • -Override capability
7
Price Update
AUTO

Approved prices pushed to all channels

  • -E-commerce platform sync
  • -POS system updates
  • -Marketplace feeds
8
Price Alerts
AUTOSlack

Alerts for significant market changes

  • -Competitor price drops
  • -Margin erosion warnings
  • -Opportunity alerts

The Result

15% Margin Improvement

15%15%
Margin Lift
1000+1000+
SKUs Monitored
Real-timeReal-time
Price Updates
23 days23 days
To Production

We used to find out we were overpriced when sales dropped. Now we know instantly and can respond. The margin improvement paid for a year of service in the first quarter.

VP Commerce Specialty Retailer