CX in retail: How to use AI to drive customer growth, workforce wellbeing, and sustainable retail

Fujitsu / April 24, 2024

Innovation is nothing new in retail. It’s long been the unspoken currency of success in this sector, honed by the necessity to survive and progress. From the advent of the first cash register to self-checkout systems, retailers have always been at the forefront of the digital evolution. But technology itself is just the tool. It’s not about adopting new technologies for the sake of it; it’s about exploring ways these tools can add lasting value – whether that’s through selling more products, reducing operational costs, or helping to meet sustainability targets.

Innovation is an oft-used, nebulous word. But, in simple terms, it means filling a gap or answering a problem which you were previously unable to. And technology is often the enabler of this. With the latest wave of available AI capabilities, technology will continue to have a huge impact on the retail industry in the years to come. That’s why it’s wise to understand this technology in more detail today, and the various ways it can help you continually enhance customer experience (CX).

Read on to learn how you can harness the opportunities that come with AI technology and implement innovative, sustainable practices.

The dual power of AI in retail

AI transcends mere data analysis, but one of its main capabilities is being able to analyze data at scale – far quicker than any human could. And this can provide a range of benefits in retail, both at the front-end of your business and in the back office. In practice, however, it’s best to think of AI embodying two key roles: artificial intelligence that mimics human thinking and acting, and generative AI.
The former analyzes vast data sets to identify patterns, enabling retailers to anticipate stock issues, minimize downtime, optimize resource deployment, and predict customer behavior. The latter (generative AI) takes this a step further by generating personalized content, product ideas, and offers to enhance CX. From data on customers’ preferences to their shopping locations and habits, this analysis can help you turn insights into real-time actions. So, you can craft personalized buying journeys for different groups of people. For example, a loyalty program that rewards a customer with personalized offers following a specific action or engagement. These reward models will replace generic shopping points schemes and mass discounts of old. That’s because they’re far more effective at making the modern customer feel valued.
AI can also play an instrumental role in physical stores. Technology such as AI-based cameras can monitor in-store congestion, estimate customer ages to monitor the sale of age-restricted items, identify people in need of assistance, and support the planning of optimal product placement and shelf layouts. This level of data-driven decision-making was previously unattainable for retailers without substantial investment in time and resources. Just take a look at how AEON Retail, a retail company in Japan, created new shopping experiences using AI-powered camera systems, with our support.
Generative AI tools such as ChatGPT can also help elevate CX while improving efficiency, by simulating human responses online. These platforms automatically find answers by searching through masses of data in an instant – surpassing any manual effort. The added bonus is this ensures a traceable record of interactions, vital for better understanding the needs and wants of your customers. So, you can develop more personalized services and build trust to create an appetite for further purchases. Ultimately, grow your business at pace.

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