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Generative AI can make the customer journey more efficient—for both retailer and shopper.

Retail customer journey

Purchase idea and context

Manually searching across multiple sources, or ideating independently

Creation of purchase list 

Manually creating the purchase list, relying on customer memory or experience

Selection of preferred retailer

Choosing based on past experiences or spontaneity—hard to control

Search for required items

Time-consuming browsing through multiple categories and filters online to find the right SKU

Selection of items and quantity

Manually comparing each product across multiple dimensions (eg, price, quality, reviews and ratings, size)

Order confirmation, delivery date selection

Navigating through multiple checkout pages, entering delivery and payment information, and choosing from limited delivery slots that may not align with the customer’s schedule

Product usage

Analyzing online reviews and web forums to gain insights into product usage methods 

McKinsey & Company

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McKinsey & Company

After generative AI

Before generative AI

Retail customer journey

Generative AI can make the customer journey more efficient—for both retailer and shopper.

Product usage

Order confirmation, delivery date selection

Selection of items and quantity

Search for required items

Selection of preferred retailer

Creation of purchase list

Purchase ideas and context

Product usage

Order confirmation, delivery date selection

Selection of items and quantity

Selection of preferred retailer

Creation of purchase list 

Purchase idea and context

Search for required items