Inventory Software for Distribution

Manage thousands of SKUs across multiple warehouses with AI-powered inventory optimization. Improve fill rates, reduce carrying costs, and keep your customers happy with reliable product availability.

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98%

95%

78%

92%

82%

96%

45%

91%

94%

75%

99%

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97%

93%

80%

96%

Optimal

Warning

Critical

Distribution Challenges

Distributors operate on thin margins with high customer expectations. Every stockout risks losing customers; every overstock erodes profitability.

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Thousands of SKUs

Managing inventory levels for 10,000+ SKUs is overwhelming without intelligent systems that prioritize which products need attention.

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Multi-Warehouse Complexity

Coordinating stock across multiple distribution centers requires real-time visibility and intelligent allocation to minimize transfers.

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Thin Margins

Distribution margins of 10-20% mean every dollar tied up in excess inventory directly impacts profitability and cash flow.

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Fill Rate Pressure

B2B customers expect 95%+ fill rates. Failing to deliver means lost orders, chargebacks, and damaged relationships.

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Supplier Lead Times

Long and variable supplier lead times require accurate forecasting and sufficient safety stock to maintain service levels.

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Warehouse Capacity

Balancing inventory needs with physical space constraints requires optimization of what to stock and where to store it.

Results Our Distribution Clients Achieve

97%

Fill Rate

Average customer fill rate achieved

-32%

Carrying Costs

Reduction in inventory holding costs

6.8x

Inventory Turns

Average inventory turnover ratio

-67%

Stockouts

Reduction in out-of-stock events

Distribution Solutions

Purpose-built inventory management tools designed for the unique challenges of wholesale distribution.

01 Demand Forecasting

AI-powered forecasting that analyzes customer ordering patterns, seasonality, and market trends to predict demand at the SKU level.

Customer-level demand analysis
Seasonal pattern detection
New product forecasting
Promotional lift modeling

02 Safety Stock Optimization

Calculate optimal buffer inventory based on service level targets, demand variability, and supplier lead time uncertainty.

Service level targeting (95-99%)
Lead time variability analysis
SKU-level optimization
Dynamic recalculation

03 Multi-Location Management

Unified visibility across all distribution centers with intelligent stock allocation and transfer recommendations.

Real-time inventory visibility
Cross-warehouse allocation
Transfer optimization
Regional demand analysis

04 KPI Dashboard

Track the metrics that matter: fill rates, inventory turns, back orders, and more—all in real-time with customizable alerts.

Fill rate monitoring
Turnover analysis
Stockout alerts
Custom report builder

How It Works

From data integration to actionable insights in weeks, not months.

Connect Data

Integrate with your ERP, WMS, and order management systems

Analyze Patterns

AI analyzes historical data to identify demand patterns

Optimize Inventory

Generate optimal reorder points and safety stock levels

Monitor & Improve

Track KPIs and continuously refine recommendations

Distribution Case Study

How a Safety Equipment Distributor Achieved 97% Fill Rate

A regional distributor of industrial safety products was struggling with inconsistent fill rates and excess inventory. Our AI-powered platform helped them optimize stock levels across 15,000+ SKUs.

97%

Fill Rate

32%

Cost Reduction

67%

Fewer Stockouts

Read Full Case Study

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15,000+ SKUs Optimized

Frequently Asked Questions

What inventory challenges do distributors face?

Distributors face unique challenges including managing thousands of SKUs across multiple warehouses, balancing customer service levels with inventory costs, handling variable customer demand, long supplier lead times, warehouse space constraints, and maintaining profitability with thin margins.

How can distributors improve fill rates?

Distributors can improve fill rates by implementing AI-powered demand forecasting, optimizing safety stock levels based on service level targets, using ABC/XYZ classification to prioritize critical SKUs, setting up automated reorder alerts, and maintaining real-time inventory visibility across all warehouse locations.

What KPIs matter most for distribution operations?

Key distribution KPIs include: Fill Rate (order, line, and unit), Inventory Turnover Ratio, Perfect Order Rate, Warehouse Capacity Utilization, Order Cycle Time, Back Order Rate, and Gross Margin Return on Investment (GMROI). Our dashboard tracks all of these automatically.

How does AI optimize distribution inventory?

AI optimizes distribution inventory through demand forecasting that accounts for customer ordering patterns and seasonality, dynamic safety stock calculations, automated reorder point optimization, warehouse slotting recommendations, and predictive analytics that identify potential stockouts before they occur.

Ready to Optimize Your Distribution Operations?

Get a free assessment of your inventory performance and discover how AI can improve fill rates while reducing carrying costs.

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