ABC Analysis
Calculate and retrieve results of ABC (pareto analysis) per timeseries and planning level.
Calculate and retrieve results of ABC (pareto analysis) per timeseries and planning level.
Calculate and retrieve results of ABC (pareto analysis) and xyz (Coefficient of variation) per timeseries and planning level. This analysis is a powerful means to estbalish a proper planning cadence, best accuracy messures and optimal hyperparameters for the organization. It provides a balanced and actionable overview of the entire product portfolio.
Calculate and retrieve results of ABC (pareto analysis) and xyz (Coefficient of variation) per timeseries and planning level. This analysis is a powerful means to estbalish a proper planning cadence, best accuracy messures and optimal hyperparameters for the organization. It provides a balanced and actionable overview of the entire product portfolio.
Calculate forecast by timeseries and sum results up to establish forecast for top level timeseries.
Bundle pricing
Calculate Amazon Inventory Performance Index (IPI)
Calculate economic order quantity
Calculate fill rate
Calculate financial impact of forecast accuracy
Calculate inventory turns
Calculate lead time demand
Calculate minimum order quantity
Calculate optimal service level
Calculate service level
Carrying Cost
This is an iCUE only endpoint or Enterprise feature.
Create new user for entity/organization. This can be done by entity administrator.
This is an iCUE only endpoint or Enterprise feature.
Delete planning level. This is an Enterprise feature.
Delete user
Forecast from file allows for quick analysis via Microsoft Excel and CSV file format. Please check documentation link for help.
Get result for forecast job
Get status for forecast job
Forecast AI is utilizing advanced machine learning models. Please be mindful of enhanced execution times (~1-2s per timeseries).
To support maximum operation and integration speed, this endpoint only returns the calculated forecast.
Response provides full forecast result details, including error, trend seasonality and outlier. Great for advanced analysis.
Returns models that are common for all Organizations
This is an iCUE only endpoint or Enterprise feature.
Get all users
Get entity global hyperparameters.
Get list of plannign levels by organization
Get list of plannign levels by user
Returns models registered for Organization
Use the optimal parameter sets created by iCUE to set the method parameters of your internal planning system.
Identify outliers (single and repetitive spikes, seasonality, masked outliers, trend and level jumps, amongst other topics) and use for cleansing of the history stream prior to forecast claculation. Depending on math model used, this approach often improves results dramatically, as it removes disturbances.
Get usage statistics per user
Reponse provides history and forecast per timeseries. Great for visualizing results.
History and forecast utilizing advanced machine learning models. Please be mindful of enhanced execution times (~1-2s per timeseries).
Inventroy Turn-over
Lock planning level against modification. This is an Enterprise feature.
After lock user won't be able to use iCUE API endpoints.
Supports the creation of artificial startup history for new products, based on a flexible mapping of old to new. This is an Enterprise feature.
Supports the creation of artificial startup history for new products, based on a flexible mapping of old to new. This is an Enterprise feature.
Month over month performance per planning level
This is an iCUE only endpoint or Enterprise feature.
Planning level rewind to calculate and measure performance potential (internal versus iCUE).
Re-order Point
Register new forecasting model for all organziations
Register new forecasting model for single organziation
Safety Stock
Set entity global hyperparameters. Hyperparameters can be overwritten by user and planning level (add to JSON body).
SKU rationalization report
Calculate forecast based on sum of of lower level timeseries and distribute forecast down based on ratios. Great feature for planning levels with dynamic timeseries.
Transform data file to JSON format
Update user
Calculate and retrieve results of xyz (Coefficient of variation) per timeseries and planning level.
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