Commodities
Driven by automated no-code forecasting, detect market trend shifts in advance with improved forecast accuracy.
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Time taken to
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relevant indicators
Relevant
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accuracy
When manufacturers place new orders for aluminum,
it suggests an anticipated increase in their production activities, which typically requires a sufficient supply of raw materials like aluminum.
This reflects shifts in the demand-supply balance. Higher production growth rates indicate increased output, outpacing domestic demand. This could result in excess supply in the market, leading to lower prices.
The level of aluminum stocks in LME warehouses reflects the physical inventory available for delivery.
Monitoring these stocks helps assess the availability of aluminum in the market & potential impact on prices.
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Indicio advances our digital strategy of becoming a data-driven organization, producing
accurate forecasts in a fraction of time.
Indicio tells us how our market
will evolve 'without emotions' which aligns everyone from management to production.
Instrumental in helping us achieve higher efficiency in a
short period of time.
Taking a data-driven approach, this case explores the value of applying statistical forecasting to optimize accuracy.
Learn more about the methodology driving aluminium prices.
We cover the key leading indicators for a scope of industries ranging from industry to commodities.
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We are an automated forecasting software that bridges the latest statistical models from academia with the specific leading indicators in an organization's market environment. Helping your organization achieve the highest forecast accuracy.
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