Smart Software - Demand Planning, Forecasting and Inventory Optimization

SMART INVENTORY PLANNING & OPTIMIZATION

PREDICTIVE, CONTINUOUS, EXCEPTION DRIVEN

DEMAND PLANNING

INCREASE FORECAST ACCURACY AND CAPTURE MORE SALES

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INVENTORY OPTIMIZATION

REDUCE INVENTORY AND IMPROVE SERVICE LEVELS

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OPERATIONAL ANALYTICS

IDENTIFY AND REMEDY OPERATIONAL INEFFICIENCIES

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Improve Forecast Accuracy, Eliminate Excess Inventory, & Maximize Service Levels

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Smart Software’s Inventory Planning and Optimization Platform (Smart IP&O) offers a single, easy to use, and scalable native cloud platform for collaborative demand planning, forecasting, and inventory optimization.

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Specializing in intermittent demand planning, Smart IP&O extends beyond traditional forecasting by leveraging probability modeling to drive inventory strategy and consensus demand planning.

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Smart IP&O predicts continuously, leveraging field-proven models to forecast demand and lead times, predict excess and out-of-stocks, monitor inventory performance, and optimize planning parameters.

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Smart IP&O seamlessly returns accurate forecasts and optimized stocking policies to your ERP system to reduce inventory, increase service levels, and ensure alignment between your inventory policy and business strategy.

Smart IP&O Application Suite

Smart Demand Planner: Automatic Statistical Forecasting; Multi-Leap Group Forecasting; Collaborative Planning

Smart Inventory Optimization: Optimize RDP, Min, Max, Safety Stock, Order Qty; Reduce Inventory; Increase Service Levels

Smart Operational Analytics: Track Inventory Costs, units, Turn, and Value; Supplier Analysis and Comparison; Measure Historical Service Levels

Industry Focus

Service Parts

Industrial Equipment

Manufacturing

Transportation

How Smart IP&O Can Help

AUTOMATED STATISTICAL ANALYSIS DRIVES INVENTORY MANAGEMENT

Inventory managers struggle with the conflicting priorities of customer satisfaction and cost control. The featured article shows how to harness customer demand data to craft optimal inventory policies:

Measure current inventory policy performance: service levels, fill rates, inventory turns, and ordering costs.

Identify improvement goals: Assessing tradeoffs between inventory investment and the risk of running out.

Find the optimal balance point: Setting reorder points and order quantities that will achieve the results you require and much more in this article.

What Do You Need to Know About Forecasting and Planning Service Parts?

This paper describes Smart Software’s patented methodology for forecasting demand, safety stocks, and reorder points on items such as service parts and components with intermittent demand, and provides several examples of customer success.