首页|Findings from University of Bath Has Provided New Data on Robotics (Leveraging In-store Technology and Ai: Increasing Cus- tomer and Employee Efficiency and Enhancing Their Experiences)

Findings from University of Bath Has Provided New Data on Robotics (Leveraging In-store Technology and Ai: Increasing Cus- tomer and Employee Efficiency and Enhancing Their Experiences)

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2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented in a new report. According to news originating from Bath, United Kingdom, by NewsRx correspondents, research stated, “Due to digital innovations, retailing is undergoing radical changes. Scholars have proposed frameworks to address outcomes of im- plementing technology e.g., an increased customer experience, efficiency gains, consumer or employee acceptance.” Our news journalists obtained a quote from the research from the University of Bath, “Existing frame- works concentrate primarily on the consumer perspective, focus on specific technologies (e.g., AI) and covering the customer journey. In contrast, this paper also focuses on the employee perspective, and how technology influences the employee journey. Since the convenience offered by online retailers puts offline retailers under pressure, this research focuses on in-store technology. Based on a comprehensive review of managerial and academic literature and expert interviews, we propose a framework covering customers and employees, and technology’s function (increasing efficiency or experience), as also including more tra- ditional and newer technologies, such as robots and AI. We identify and showcase technologies increasing efficiency for customers (quadrant 1, e.g., checkout options or autonomous stores) or for employees (quad- rant 2, e.g., in-store robots), and enhancing the experience for customers (quadrant 3, e.g., retailer apps or communication) or for employees (quadrant 4, e.g., exoskeletons or smart wearables).”

BathUnited KingdomEuropeEmerging TechnologiesMachine LearningNano-robotRoboticsTechnologyUniversity of Bath

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.27)
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