Technology

AI Shopping Assistants Jump to the Top of Retail Budgets

Retailers Prioritize AI Shopping Assistants Amid Budget Cuts

Retailers have spent years overhauling their digital shopping platforms, but a new trend has emerged as they reassess their budgets: AI shopping assistants are climbing to the top of the investment list. While some retailers are paring back on non-essential features, they’re doubling down on AI-powered tools designed to enhance the shopping experience and drive sales.

According to PYMNTS Intelligence research, many merchants are reevaluating their feature priorities as artificial intelligence becomes a bigger part of their technology strategies. At the top of this list is AI-powered shopping assistance – think chatbots, virtual assistants, and personalized recommendations.

What Drives the Interest in AI Shopping Assistants?

The primary driver behind this shift is the growing demand for seamless, personalized shopping experiences. Consumers are increasingly expecting retailers to deliver tailored recommendations, real-time support, and easy returns – all via digital channels. By investing in AI shopping assistants, retailers can meet these expectations while improving operational efficiency and reducing costs.

The ROI of AI Shopping Assistants

A recent study found that retailers using AI-powered shopping assistants see significant returns on investment, with some achieving a 20-30% increase in sales and a 25-30% reduction in support queries. By automating routine tasks, such as answering frequently asked questions and processing returns, retailers can free up staff to focus on high-value tasks like customer service and product development.

What this means

As retailers continue to invest in AI shopping assistants, consumers can expect a more tailored, convenient shopping experience. This means fewer support queries, faster order processing, and more relevant product recommendations. In the short term, this may mean changes to in-store staffing models and digital feature priorities. In the long term, it will likely shape the future of retail, where AI takes center stage and human customer support is augmented, not replaced.

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