Aigoras - we can do better: Artificial Intelligence in Swiss Retail: Transforming Customer Experience and Operations / by Kevin Lancashire

Research indicates that artificial intelligence (AI) has the potential to significantly improve the retail sector by enhancing the customer experience, streamlining operations, and boosting overall efficiency. However, it's important to acknowledge that the implementation of AI in retail also comes with certain challenges and risks.

What it means for Swiss retail:

This suggests that Swiss retailers have a significant opportunity to leverage AI to:

  • Elevate customer experiences: By using AI for personalized recommendations, tailored promotions, and interactive shopping experiences, Swiss retailers can better engage customers and foster loyalty.

  • Optimize operations: AI can streamline inventory management, predict demand fluctuations, and automate various tasks, ultimately leading to cost savings and improved efficiency for Swiss retailers.

  • Enhance competitiveness: In a globalized market, Swiss retailers can leverage AI to gain a competitive edge by offering innovative and efficient shopping experiences.

However, Swiss retailers also need to be mindful of:

  • Data privacy: Switzerland has strong data protection laws, and retailers must ensure that AI applications comply with these regulations to maintain consumer trust.

  • Ethical considerations: AI algorithms should be fair, unbiased, and transparent to avoid discriminatory outcomes and maintain ethical standards.

  • Workforce impact: As AI automates certain tasks, Swiss retailers need to consider the impact on their workforce and invest in upskilling and reskilling initiatives.

By carefully navigating these challenges and embracing the opportunities, Swiss retailers can harness the power of AI to thrive in an increasingly digital and competitive landscape.

Do you have a project in the pipeline and need support? Contact: kevin@day1tech.com

Sources:

Pillai, R., Sivathanu, B., & Dwivedi, Y. (2020). Shopping intention at AI-powered automated retail stores (AIPARS). Journal of Retailing and Consumer Services, 57, 102207. https://doi.org/10.1016/j.jretconser.2020.102207.

Oosthuizen, K., Botha, E., Robertson, J., & Montecchi, M. (2020). Artificial intelligence in retail: The AI-enabled value chain. Australasian Marketing Journal, 29, 264 - 273. https://doi.org/10.1016/j.ausmj.2020.07.007.

Heins, C. (2022). Artificial intelligence in retail – a systematic literature review. foresight. https://doi.org/10.1108/fs-10-2021-0210.