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Peak AI Built to Drive Growth, Profit, and Efficiency in Your Business

Peak
Contact for Pricing

Home: https://peak.ai

Social:
  • #Inventory Management
  • #pricing optimization
  • #Production Planning
  • #demand forecasting
  • #data management
  • #Business Intelligence

What is Peak?

Peak is an AI platform designed to optimize product inventory and pricing for businesses of all sizes, from those with millions to billions in revenue. It provides a comprehensive solution for managing inventories and setting optimal prices, ultimately driving competitive advantage, accelerating growth, and increasing profits.

The platform is built for speed and value, with pre-built products that can be configured to specific business needs. This allows for deployment in weeks, rather than years. Furthermore, Peak connects multiple products and use cases, enabling interconnected decisions across different organizational functions. Peak also offers world-class expertise and support throughout the implementation and adoption process to deliver tangible business outcomes.

Features

  • Dynamic Inventory: Optimal inventory management.
  • Production Planning: Optimize your entire production process.
  • Rebuy: AI-powered rebuys across all suppliers and SKUs.
  • Reorder: Calculate optimal purchase orders to meet demand.
  • Replenishment: Ensure you always have the optimal stock cover.
  • Markdown: Maximize profit and reduce manual decision making.
  • Promotions: Optimize promotions and offers at the right time and price.
  • List Price Optimizer: Maximize revenue and profitability by consolidating pricing lists.
  • Quote Pricing: Balance margin and sales propensity.
  • Co:Driver™: Make faster, more informed decisions with Peak's agentic AI assistant.

Use Cases

  • Optimizing inventory levels to meet demand.
  • Automating purchase order calculations.
  • Planning and optimizing production processes.
  • Maximizing profit through strategic markdown management.
  • Optimizing pricing strategies for promotions and offers.
  • Consolidating pricing lists to maximize revenue.
  • Balancing margin and sales propensity in quote pricing.

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