Difference between revisions of "How can I find what the pricing trend for my product will be over the next 12 months?"
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<!--block--><span style="color:#0000FF;"><span style="font-size:larger;"><u>How can I find what the pricing trend for my product will be over the next 12 months?</u></span></span> | <!--block--><span style="color:#0000FF;"><span style="font-size:larger;"><u>How can I find what the pricing trend for my product will be over the next 12 months?</u></span></span> | ||
| − | <!--block--><!--block-->You can determine short term pricing trends for 12 to 24 months by accessing the Growth Risk Analyser tool and entering a time series of data including data such as profit per month, average sales quantity per day/week/fortnight/etc, average catch/landings per month/semester/year/etc.<br/> <br/> The results will show the price trend and confidence level of that trend to provide confidence by averting future risk. Forecasts will show the predicted signal over the original values and a confidence band for the prediction.<br/> <br/> Please remember that this tool does not guarantee the results shown and users must use this data as an aid to making better long term business decisions and planning for potential changes in pricing trends. | + | <!--block--><!--block-->You can determine short term pricing trends for 12 to 24 months by accessing the [http://www.dss.primefish.eu/index.php/gra Growth Risk Analyser] tool and entering a time series of data (.CSV or manualy) including data such as profit per month, average sales quantity per day/week/fortnight/etc, average catch/landings per month/semester/year/etc. |
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| + | An example of a manually entered time series is shown below: | ||
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| + | <span style="font-size:small;"><span style="color:#B22222;"><span style="font-family:times new roman,times,serif;">'''36 Months: 2500; 2750; 1598; 1777; 2100; 2107; 2213; 1993; 1768; 1479; 1344; 1389; 1433; 1477; 1578; 1611; 1678; 1587; 1523; 1124; 1388; 1299; 1433; 1399; 1777; 2100; 2107; 2213; 1993; 1768; 1479; 1344; 1389; 1433; 1477; 1578'''</span></span></span> | ||
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| + | The tool forecasts 24 values, but forecasts given outside of the first 12 months become less reliable as the forecast horizon increases.<br/> <br/> The results will show the price trend and confidence level of that trend to provide confidence by averting future risk. Forecasts will show the predicted signal over the original values and a confidence band for the prediction.<br/> <br/> Please remember that this tool does not guarantee the results shown and users must use this data as an aid to making better long term business decisions and planning for potential changes in pricing trends. | ||
Latest revision as of 12:51, 19 December 2018
How can I find what the pricing trend for my product will be over the next 12 months?
You can determine short term pricing trends for 12 to 24 months by accessing the Growth Risk Analyser tool and entering a time series of data (.CSV or manualy) including data such as profit per month, average sales quantity per day/week/fortnight/etc, average catch/landings per month/semester/year/etc.
An example of a manually entered time series is shown below:
36 Months: 2500; 2750; 1598; 1777; 2100; 2107; 2213; 1993; 1768; 1479; 1344; 1389; 1433; 1477; 1578; 1611; 1678; 1587; 1523; 1124; 1388; 1299; 1433; 1399; 1777; 2100; 2107; 2213; 1993; 1768; 1479; 1344; 1389; 1433; 1477; 1578
The tool forecasts 24 values, but forecasts given outside of the first 12 months become less reliable as the forecast horizon increases.
The results will show the price trend and confidence level of that trend to provide confidence by averting future risk. Forecasts will show the predicted signal over the original values and a confidence band for the prediction.
Please remember that this tool does not guarantee the results shown and users must use this data as an aid to making better long term business decisions and planning for potential changes in pricing trends.
