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.
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.
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.
Analyze projected revenue and build your supply chain planning accordingly.
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 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.
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