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Peak Promotion Optimization

AI-Powered Retail Promotional Pricing.

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Overview

Peak's retail promotion optimization software uses AI to help businesses learn from each promotion and apply those learnings to future campaigns. It analyzes transaction data to understand incrementality, cannibalization, and other effects on sales. The goal is to maximize sales while increasing margin, profitably sell through clearance stock, and reduce manual decision-making.

✨ Key Features

  • AI-driven promotional strategy analysis
  • Analysis of incrementality and cannibalization
  • Maximization of sales and margin
  • Clearance stock sell-through
  • Reduction of manual decision-making

🎯 Key Differentiators

  • Focus on learning from past promotions to improve future ones
  • Analysis of complex factors like incrementality and cannibalization

Unique Value: Uses AI to create a continuous learning loop for promotional activities, enabling retailers to improve their strategies over time.

🎯 Use Cases (3)

Optimizing promotional campaigns Understanding the true impact of promotions on sales Strategically clearing excess inventory

✅ Best For

  • Choosing the best combination of discount, timing, and customer for promotions

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Companies not focused on promotional activities

🏆 Alternatives

Retalon Revionics

Focuses more on the learning and improvement cycle of promotions, rather than just the initial optimization.

💻 Platforms

Web API

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Phone Support
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ GDPR ✓ SSO

💰 Pricing

Contact for pricing
Visit Peak Promotion Optimization Website →