E-commerce & Mobile Commerce Analysis Sample

Posted on October 10, 2023

Paper Instructions

Academic level – Undergraduate 1-2
Type of paper – Analysis
Topic Title – E-commerce & Mobile Commerce

Conduct research on ONE of the following technology trends that influence today’s on-demand economy mobile E-commerce and compose a scholarly case study paper that provides details on the topic.

Location-Based Marketing Mobile Retargeting Virtual and Augmented Reality on Mobile Mobile SEO Chatbots, AI, Shopping Assistants Internet of Things (IoT)

Analysis Sample

The evolution of the on-demand economy has fundamentally transformed how people engage with goods and services, primarily through mobile platforms. The fusion of cutting-edge technologies such as chatbots, artificial intelligence (AI), and shopping assistants has played a pivotal role in shaping this landscape and revolutionizing business operations. The synergy between chatbots, AI, and shopping assistants has resulted in a symbiotic relationship that enhances the on-demand economy mobile ecosystem.

Chatbots, based on natural language operations and machine learning algorithms, have emerged as indispensable tools in the on-demand economy mobile sector. These AI-driven virtual assistants facilitate real-time, personalized interactions between businesses and customers Jaiswal et al. (2021). Their capability to comprehend and react to natural language queries enhances user engagement and customer support. For instance, in the retail sector, chatbots assist customers in locating products, comparing prices, and even making purchases directly within messaging apps. Chatbots allow organizations to improve customer service by streamlining shopping and creating a more conversational and convenient user experience. Furthermore, Jaiswal et al. (2021) mention that this technology promotes better human resource management, as specialists can be redirected to more critical tasks and roles that require human engagement. Chatbots have become essential tools in the on-demand economy mobile sector, providing real-time, personalized, and convenient interactions between businesses and customers.

The integration of AI in on-demand economy mobile applications has ushered in a new era of personalization. AI algorithms have fundamentally changed numerous sectors, including marketing, analysis, and forecasting, by making their processes more convenient, fast, and accurate. AI-based solutions can analyze vast amounts of user data, such as browsing history and purchase behavior, to provide tailored recommendations and suggestions (Kietzmann et al., 2018). This technology enhances customer satisfaction by curating content and offerings that align with individual preferences. According to Jaiswal et al. (2021), AI-driven predictive analytics enable businesses to forecast demand patterns, optimize stock management, and develop marketing campaigns effectively. As a result, businesses can be better prepared for future market changes and adjust their processes accordingly to remain competitive. AI has transformed the on-demand economy mobile applications by providing a new level of personalization that benefits both customers and businesses.

Shopping assistants are another essential component of AI technology that empowers consumers to make well-informed decisions within the on-demand economy mobile landscape. These assistants guide users through their purchase journey by offering product information, reviews, and price comparisons. Shopping assistants reduce the cognitive load on users and minimize the likelihood of decision paralysis by simplifying complex decision-making processes (Kietzmann et al., 2018). Customers do not need to spend their time searching for demanded products, reviewing feedback, or comparing it with analogs because shopping assistants can make it all in seconds and present the finished result. This process simplifies the shopping experience significantly by connecting the client with the trader without intermediate stages. Shopping assistants can be further integrated into voice-activated devices, making the shopping experience hands-free and seamless. This level of convenience fosters customer loyalty and encourages repeat business.

The on-demand economy mobile ecosystem benefits significantly from a quintessence of chatbots, AI, and shopping assistants. Chatbots offer instant customer service, while AI enhances user experiences through customization and predictive analysis. Shopping assistants accompany users during shopping, facilitating smoother decision-making processes. This cooperative approach leverages the strengths of each technology, creating a holistic and user-centric environment.


Jaiswal, A., Arun, C. J., & Varma, A. (2021). Rebooting employees: upskilling for artificial intelligence in multinational corporations. International Journal of Human Resource Management, 33(6), 1179–1208. https://doi.org/10.1080/09585192.2021.1891114

Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising. Journal of Advertising Research, 58(3), 263–267. https://doi.org/10.2501/jar-2018-035

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