The Future of AI in Retail and Hospitability
retailciooutlook

The Future of AI in Retail and Hospitability

By Retail CIO Outlook | Tuesday, August 13, 2019

The emergence of AI-powered customer service solutions has enabled organizations in the retail and hospitability sector to offer enhanced and personalized services to consumers.

FREMONT, CA – The emergence of artificial intelligence (AI) and machine learning (ML) is transforming the industrial sector, introducing new capabilities. Its potential in the retail and hospitability sectors is phenomenal, with both industries witnessing tremendous innovation and change.

AI has led to the inception of advanced voice ordering assistants for retailers and restaurants to expand their offerings to blind customers. The AI systems are designed to enhance accessibility to the blind, providing them with faster, friendlier, and more efficient services.

Voice and sound-based devices offer technology-driven experiences for individuals with visual impairment. The technology is also being implemented in on-premise stores to aid impaired customers. The capabilities of AI-enabled systems provide quick and efficient solutions for the complex situations of people with dietary restrictions. The AI-based systems can efficiently process diet information and suggest food items that fit their requirements.

The vocal commerce solutions offer enhanced accessibility for the visually impaired, while at the same time, enhancing accuracy, service, and speed. The AI devices are designed to improve the retail experience by instantly compiling customer orders, thus freeing the staff to focus on high-value tasks.

The emergence of the AI solutions for the retail industry will alleviate the obstacles hindering the success of organizations in the sector, including high staff turnover, rising labor costs, and inconsistent customer experience. The integration of a comprehensive on-premise voice solution with the point of sale of restaurants will enable them to take orders instantly.

The solutions can be customized to match the tone and style of the retail organizations, enabling them to maintain a distinct image. Also, the integration of ML, natural language processing (NLP), natural language understanding (NLU), and so on, will enable the solutions to identify the subtle nuances and contexts in real-time conversations with the customers.

The customer service solutions will steadily expand toward retail, enabling the businesses to scale and adapt to the evolving demands of the digital native consumers. The incorporation of various technologies empowers work crews to offer exceptional services to the consumers. Modern customers expect hyper-personalized experiences, making it imperative for retailers to implement robust strategies to keep up with the demands. 

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