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Are you data ready for Christmas? Here are four key points to keep in mind

Inside Retail

To maximise its potential, retailers should tailor their marketing tactics for a personalised client experience. For instance, if a customer named John frequently shops for loud print shirts at your store, it’s a strategic move to inform him about the new range of shirts with holiday patterns as Christmas approaches.

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Navigating the fine line between AI, personalisation and engagement

Inside Retail

Armed with a huge depth of knowledge about an individual customer, from their browsing behaviour to their purchase patterns, both human and AI-powered agents can deliver exceptionally personalised service. Data analytics and AI can also detect wider patterns in customer data to predict how an individual customer might behave in the future.

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How making data-driven decisions in retail is changing

Inside Retail

This helped the brand to offer highly tailored product recommendations in store as well as online, driving an 11% increase in revenue. Netflix is another company that leverages a vast amount of data to tailor customer experience. From product selection and display to promotions, they need to always keep moving, adjusting, adapting.

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Un-learn to Re-learn. How the current retail environment is reconditioning consumer’s behaviours.

Retail Focus

Where customers accustomed do consumption patterns in the past decades? Customers generally purchased mass-produced products designed for a wide range of consumers, instead of products tailored to their needs and preferences. Prior to the widespread use of the Internet, customers primarily bought goods and services in physical stores.

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Business Growth through Digital Transformation: The Case of Premium and Luxury Brands

Retail Focus

For decades, these brands, whether in fashion, automotive, hospitality, or any other domain, have held a steadfast position at the pinnacle of their respective industries. By tailoring product recommendations, exclusive offers, and content, we can take into account the customer’s preferences, past purchases, and behaviour.

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Retail’s tech revolution sets laser-like focus on the consumer

Inside Retail

Traditionally reliant on historical sales data and manual inputs, these activities are now being transformed by AI’s ability to analyse vast datasets, discern patterns, and predict future demand with heightened accuracy. Moreover, this technology extends its utility beyond mere product recommendations.

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Why Retailers Should Embrace Retail Digital Transformation

Retail Focus

These technologies analyze customer trends and patterns to tailor-make customer preferences and expectations. Adopting these digital tools can automate repetitive and time-consuming tasks to create time for staff to focus on other responsibilities. It makes the supply chain management process more efficient and reduces costs.

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