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Whitepaper - Consumer Acceptance of Artificial Intelligence in Retail

CONSUMER ACCEPTANCE OF ARTIFICIAL INTELLIGENCE SOLUTIONS IN RETAIL

The Research at a Glance

The data in this whitepaper is based on a survey conducted via an online access panel in April 2024. The approach ensures we gather a diverse range of opinions, leading to robust and unskewed insights. In a far-reaching industry like Retail, gaining a 360 view of the consumer's views and sentiments is crucial in designing effective solutions that address real pain points and assuage AI detractors.

The target group consists of 2,500 online and offline shoppers of various tech-savviness equally distributed across five countries: Austria, Germany, Poland, Spain, and Switzerland. Their ages range between 16 and 69.

Teamwork-Grey

2500

online and offline shoppers

Location

5 countries

500 participants each from Austria, Germany, Poland, Spain, and Switzerland

Teamwork-Grey

16-69 age group

covering 4 generations: Baby Boomers, Gen X, Millennials, and Gen Z

AI’s Potential in Retail

As a leading tech partner for top brands in the European Retail industry, Accesa has worked on numerous AI solutions, exploring and implementing cutting-edge functionalities designed to reshape the retail sector.

Artificial Intelligence is set to revolutionise customer experiences and boost business performance, significantly impacting both how customers shop and a retailer's profitability:

ARTIFICIAL INTELLIGENCE'S IMPACT

Customer Experience

Personalisation

AI can process customer data to offer personalised recommendations, targeted promotions, and even tailor in-store displays for a more relevant shopping experience.

Customer Experience

Enhanced Self-service

Chatbots and virtual assistants powered by AI can provide real-time product information, answer questions, and streamline tasks like checkouts, reducing wait times and offering 24/7 assistance.

Customer Experience

Omnichannel Experience

AI enables seamless integration across different retail channels (e.g., online, in-store, mobile). Customers can have a consistent experience regardless of how they interact with a brand.

Customer Experience

Visual Search

AI allows customers to search for products using images instead of text. This feature can be particularly useful for fashion and home decor, where visuals play a significant role in purchasing decisions.

Customer Experience

Voice Commerce

Voice-enabled AI technologies like smart speakers and virtual assistants enable customers to shop using voice commands, offering a more convenient and accessible shopping experience.

Customer Experience

Virtual Try-Ons and Augmented Reality (AR)

AI-powered AR applications allow customers to virtually try on clothing and accessories or even visualise furniture in their homes, enhancing the shopping experience and reducing returns.

Business Performance

Optimised Operations

AI can analyse sales data to predict demand, optimise inventory management, and reduce stockouts. This translates to lower costs and happier customers who find what they need.

Business Performance

Smarter Marketing

AI can personalise marketing campaigns based on customer segments, leading to more targeted advertising and increased sales conversions.

Business Performance

Data-driven Decision Making (Customer Insights and Analytics)

AI can analyse vast amounts of data to identify trends, understand customer behaviour, and inform strategic business decisions for better allocation of resources and product development.

Expert Advice on AI Adoption

Read the full whitepaper

and learn how to strategically leverage AI's potential to gain a competitive edge with decisions backed by data.

For further information, please don't hesitate to get in touch with us.

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