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Demand Decision Process

In an efficient demand decision process, forecasts are generated by using statistics and inputs from the field or other departments within your organization. Being able to precisely predict demand leads to effective inventory management and resource utilization, increased profitability, and better customer experience.

Order Decision Process

Measurable Benefits

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Decrease in Stock Holding Cost

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Reduction in Out-of-Stock

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Closer to Optimal Stock Levels

Measurable Benefits

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Net Profit Improvement

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Increase in OTIF performance

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Reduction in Inventory Costs

Forecast Accurately

Generate AI-accurate forecasts based on your company’s unique business logic and product range.

Predict customer demand with the highest level of accuracy by using historical data, market behavior, and sales targets.

Analyze and improve forecast quality based on past sales through machine learning and demand sensing.

Improve OTIF Performance
Improve OTIF Performance

Make Optimized Plans

Create and manage forecast quantity with respect to orders by using statistics.

Make optimized decisions in your other decision processes that you will establish on solid ground with the accurate forecasts you will create.

Increase Revenue

Analyze projected revenue and build your supply chain planning accordingly.

Improve OTIF Performance
Customer Cases
Customer Cases
Electronics
12% Decrease in Stock Holding Costs
Electronics

The challenge:

A company in FMCG sector ramped up its production 1200% over the last 10 years and for this reason was not able to forecast demand accurately.

The outcome:

The company reduced its stock holding cost 12% by changing allocations according to their prioritization with ICRON CCP. The company got 40% closer to their optimal stock levels by reducing excess stocks.

Customer Cases
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