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DRP.AI

DISTRIBUTION REQUERIMENTS PLANNING 

Solution for internal distribution planning and stock management in distribution centers (CD’s) or directly at points of sale.

The application of machine learning models with high demand predictability in the dynamic environment of the retail logistics chain ensures that the CD’s have optimized stocks that meet the next steps of the supply the chain.

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DRP.AI SOLUTION DELIVERABLE

Suggestion of Supply Order of the Distribution Centers, Plant Stocks and other logistics facilities

Analytical dashboards for performance follow-up and proactive decision making in the supply chain management.

WHO USES IT

BENEFITS

OPTIMIZED SUPPLY SUGGESTIONS

Optimization of stock availability in the CD’s to serve the sales channels, respecting the limitations of storage capacity and invested capital.

DEMAND FORECAST ACCURACY

The machine learning algorithms are constantly adjusted to improve the accuracy of forecasts.

CHAIN RISK WARNING

Those involved in logistics chain management have a view of operational risks and time for a proactive action.

MONITORING INTERFACE

The results of the operation are presented in interactive dashboards for further analysis.

OPERATIONAL EFFICIENCY

Optimization of stock availability in the CD’s to serve the sales channels, respecting the limitations of storage capacity and invested capital.

EXOGENOUS VARIABLES

For the processing of the models, public databases variables that extend the horizon beyond the borders of the company are used.

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