Using AI In Decision-Making: A Retail Merchant's Journey

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Using AI In Decision-Making: A Retail Merchant's Journey

Retail merchants face the challenge of decision fatigue, making thousands of decisions daily. To combat this, they have implemented various systems, including decision support systems and business intelligence tools. The rise of artificial intelligence offers new opportunities to enhance decision-making capabilities in retail.

The future of retail is expected to be algorithmic, with machines taking on more autonomous roles. A structured approach is necessary for retailers to transition to autonomous merchandising, focusing on automating repetitive tasks and leveraging AI for data analysis. This shift requires a cultural change within organizations to embrace continuous adaptation.

• AI can significantly enhance decision-making capabilities for retail merchants.

• The future of retail will involve more autonomous decision-making through AI.

Key AI Terms Mentioned in this Article

Decision Support Systems

These systems have been crucial in alleviating decision fatigue for retail merchants.

Autonomous Merchandising

This concept is central to the future vision of retail operations.

Machine Learning

It is used to analyze vast amounts of data to support retail decision-making.

Companies Mentioned in this Article

TCS

The company plays a significant role in AI-led transformation in retail.

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