Forecasting Retail Trade requires analyzing a blend of macroeconomic drivers, such as unemployment rate, short-term bonds, energy prices, and interest rates.
Assessing and anticipating these factors is vital for understanding market volatility and its impact on the aviation industry.
Time taken to
identify most
relevant indicators
No. of leading
indicators tested
MAPE
forecast
accuracy
Use cases
Accurately forecast demand months ahead with improved forecasting accuracy
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01
Get an accurate overview of where demand is headed
No more puzzling together different sources of intelligence.
Instead, use one tool to forecast demand for all your end markets.
Build demand forecasts in a few clicks, and easily update them.
02
Identify the leading indicators relevant to your market
With seamless access to multiple data sources in Indicio, easily identify which leading indicators have the most bearing on your main variable (demand or sales).
Get the full picture of the dynamics driving demand.
03
Detect market trend shifts
months ahead
By understanding the demand dynamics of each market,
you gain the ability to detect the market trend shifts related to your industry.
This variable measures the average number of individuals filing for initial unemployment benefits over the past four weeks. It is a key indicator used to assess the strength and stability of the job market.
This variable represents the yield with a six-month maturity. This reflects the return investors earn for holding these short-term government bonds until maturity. It's an important indicator of short-term interest rate trends and helps assess the overall economic outlook.
This variable represents the average consumer price in U.S. dollars per gallon for regular-grade gasoline across all formulations sold at retail outlets. It provides insights into the overall health and dynamics of the U.S. energy market.
Case Study
Challenge
Their primary concern was inefficient resource allocation due to unclear market shifts and inaccurate demand forecasting. Relying on a univariate model limited their ability to use leading indicators, causing missed opportunities, higher costs, and revenue loss.
Solution
Using Indicio, they've now been able to identify new and stronger market-leading indicators, improving forecast accuracy and their ability to detect market trend shifts.
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