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4flow VIA Inventory allocation optimization4flow

Ensure stock availability and maintain service level while reducing costs in distribution networks.

Vendor

Vendor

4flow

Company Website

Company Website

4flow-inventory-allocation-diagram.jpg
Product details

Overview

4flow VIA Inventory Allocation Optimization is a module within the 4flow VIA software suite designed to ensure stock availability and maintain service levels while reducing costs in distribution networks. It helps businesses optimize product allocation across existing warehouses to meet customer demand, minimize stock levels, and reduce total costs. The software's scenario modeling and analysis capabilities make inventory allocation optimization simple and effective.

Features

Inventory Allocation Capabilities

  • Optimize product allocation across warehouse networks to meet customer demand.
  • Minimize inventory costs and calculate safety stock to avoid stockouts. Scenario Modeling and Analysis
  • Simulate service scenarios to identify cost-saving opportunities and assess potential risks and benefits.
  • Analyze the impact of different scenarios on total costs and service levels. Warehouse Space Optimization
  • Determine the necessary warehouse space and establish optimal transportation rates.
  • Identify the need for additional warehousing space based on current storage capacity and future demand. User-Friendly Interface
  • Designed for inventory controllers, supply chain specialists, and category managers.
  • Provides tools to maximize sales and profitability while handling growth, seasonality, and disruptions.

Benefits

  • Ensure Stock Availability: Maintain service levels and avoid stockouts with optimized inventory allocation.
  • Reduce Costs: Minimize total costs in distribution networks through efficient inventory management.
  • Improve Customer Satisfaction: Position inventory closer to customers to reduce lead and transit times, improving order fulfillment rates.
  • Adapt to Market Changes: Quickly respond to market fluctuations and new challenges with scenario modeling and analysis.