■ Main Product Image

■ Product Detail Images

■ Product Category

AI / Software / Inventory Optimization / Enterprise SaaS

■ Key Features

High-dimensional demand forecasting AI
Uses thousands of external and internal variables to produce highly accurate forecasts.

Automated inventory optimization
Recommends optimal order quantities, safety stock levels, and replenishment timing.

Out-of-stock & overstock prevention
Reduces lost sales and minimizes excess inventory.

End-to-end inventory workflow automation
Procurement, allocation, replenishment, and stock transfer optimization.

Scenario simulation (What-if analysis)
Forecast changes under promotions, price adjustments, or new product launches.

Multi-store / multi-region forecasting
Supports chains, franchises, and multi-warehouse operations.

API & dashboard integration
Easy connection to client's DB systems.

■ Technical Specifications

• AI Model:
  • mofl's proprietary high-dimensional demand forecasting
• Data Inputs Supported:
  • Historical sales data
  • Inventory data (stock, inbound, transfer)
  • Product attributes
  • Calendars (seasonal events, holidays)
  • Weather data
  • Marketing/promotion data
  • Price changes
  • External trend signals
• System Requirements (Client):
  • Web browser (Chrome, Edge, Safari)
• Security & Compliance:
  • Encrypted data transmission (HTTPS/TLS)
  • Role-based access control
  • Daily automated backups

■Performance Metrics

• Forecast accuracy improvement: +20% or higher
• Revenue uplift: 3–20%
• Out-of-stock reduction: +50% or higher

■ Target Customers

• Fashion brands
• Consumer goods (FMCG) companies
• Retail chains & franchises
• E-commerce brands
• Logistics & distribution partners 

■ Customer Success Examples

Leading South Korean fashion brands have used mofl for over three years, achieving significant reductions in out-of-stock events and improved inventory efficiency.