The Process

We apply machine learning algorithms to sales data.  Teamcore predicts product availability on supermarket shelves, delivering action plans according to the highest sales opportunities.

 

STEP 01

Sell out analysis by product - point of sales - day

STEP 02

Anomaly detection, execution problems and stock outs

STEP 03

Corrective task generation and information capture at the point of sales as a way to increase effectiveness

STEP 04

Out of stock notification of all the products, 365 days of the year

 
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Methodology Benefits

Through a continuous learning process, our Artificial Intelligence software learns to detect when a product will need restocking.


 
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• High accuracy

Over 91% with random sampling

Over 95% with samplings generated by Teamcore tasks.

 
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• Model-oriented to corrective action instead of measurement.

• Predictions of low OSA are activated as tasks for the day.

•   BI with filters in all levels

• Daily action tasks

 
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• The model requires availability surveys (sampling) that are bounded and efficient

• Ability to analyze large volumes of information

 
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Do you want to know if Teamcore works for you? Contact us