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Market basket analysis is used behind the scenes for the recommendation systems used in many brick-and-mortar and online retailers.

License: Apache License 2.0

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machine-learning association-analysis python

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Super-Market-Grocery-Prediction

Market basket analysis is used behind the scenes for the recommendation systems used in many brick-and-mortar and online retailers. The learned association rules indicate the combinations of items that are often purchased together. Knowledge of these patterns provides insight into new ways a grocery chain might optimize the inventory, advertise promotions, or organize the physical layout of the store. For instance, if shoppers frequently purchase coffee or orange juice with a breakfast pastry, it may be possible to increase profit by relocating pastries closer to coffee and juice.

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