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Pros and Cons of predictive analytics in consumer product goods?

Pros and Cons of predictive analytics in consumer product goods?
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predictive analytics in consumer product goods

Pros:

i) It helps to create business strategies also understand customer needs and engage existing customer. We can create categories the customer to better the sales.

ii) This technique helps us to make decision from managerial level and executive level, also help sales forecasting, production optimization etc.

iii) We can predict expected sales growth when change market trends and gain market share. It can maximize supply chain efficiency so that company gets in a better position.

Cons:

i) Customer behavior changes due to financial crisis or fall in market share.

ii) Consumer used a number of channels for interacting with the companies but fraud and security analytics being misused by either internal or external threats.

iii) If product is unavailable then consumer will buy this product from another store.

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