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This detailed analysis serves as an ideal resource for students seeking business environment assignment help, offering real-world insight into two of the UK’s most dynamic sectors—London’s high street clothing market and the healthcare industry’s use of artificial intelligence. By critically examining macro-environmental influences, technological disruptions, and consumer behavior shifts, this sample equips learners with practical knowledge and academic value. Whether you're exploring retail transformation or AI-driven labor market trends, this comprehensive guide supports your academic success in understanding the modern business environment.
High street clothes are another familiar segment of Londonâs clothing retail; they have been always popular among different populations and create job opportunities and enhancement of the internal market. Nonetheless, modern changes in the consumer market, new technologies and global economic environment substantially influenced the outcome of the market. As a result, this briefing paper critically explores the condition of the high street clothing market in London, and the analysis of the macro-environmental influences, as well as the macro-environment condition in the present situation.
Figure 1: Audit of Digital Technology within High street Fashion Sector in UK
The high streets in London boast of various global brands as well as local trader selling different clothes. The apparel market in the UK was around £58.5 billion in 2022, while the London market played an essential role because it is a fashion capital of the world (Statista, 2022). Nonetheless, it is now threatened with change in consumersâ preferences, increase in online commerce, and the prevailing economic issues. Since the pandemic, the consumersâ return to physical stores has been relatively sluggish, and the foot traffic tapered off when consumers trend towards online purchases. In the year 2022 it is estimated that 41% of all clothing purchased in the UK was bought online (Mintel, 2022).
From this analysis, one gets the impression that the external environment has a profound effect on Londonâs High street clothing market. Using the PESTLE framework, the following key factors are identified:
Figure 2: PESTLE ANALYSIS
Economic factors have in particular exacerbated problems for high street clothing stores in London. These have led to inflation with people really experiencing cost of living crises meaning that their disposable income has gone down and theyâre only willing to spend on necessities. However, in Q1 2024, people spent 0.8% less on clothing making pressure on the retail sector continue (Savills, 2024).
In recent years, store closure is being common as brands such as Monki owned by H&M has decided to pull out of the entire UK market because of dwindiling profitability (The Sun, 2024). The number of people in employment situation in the retail industry has also been impacted due to less number of recruitments and dismissals due to constraints that retailers are undertaking (ONS, 2021).
For this reason, high street clothing retailers need to learn how to compete in the new environment based primarily in London. The following strategies are recommended:
Figure 3: Recommendations
Therefore, it has emerged that the London high street clothing market is under pressure from macroeconomic shocks and changing consumer attitudes. But if the high street retailers have implemented sustainability, digital transformation and customer focused strategies of retailing business, then they can sustain in the ever changing environment of retail scenario.
Mintel. (2022) UK Clothing Retailing Market Report 2022. Available at:Â https://store.mintel.com/report/uk-clothing-retailing-market-report-2022.
Office for National Statistics (ONS). (2021) Economic trends in the retail sector, Great Britain: 1989 to 2021. Available at:Â https://www.ons.gov.uk/economy/nationalaccounts/balanceofpayments/articles/economictrendsintheretailsectorgreatbritain/1989to2021.
Reuters. (2024) UK retail sales fall by 0.7% in October 2024. Available at:Â https://www.reuters.com/world/uk/uk-retail-sales-fall-by-07-october-2024-11-22/.
Savills. (2024) UK retail sales trends - Quarterly report Q1 2024. Available at:Â https://www.savills.co.uk/research_articles/229130/359149-0.
Statista. (2022) Apparel market in the UK - statistics & facts. Available at:Â https://www.statista.com/topics/3348/apparel-market-in-the-uk/.
The Sun. (2024) Monki, owned by H&M, to close all UK stores. Available at:Â https://www.thesun.co.uk/money/32097770/chain-owned-by-hm-to-close-all-stores/.
Figure 4: Application of Ai within Workforce
Artificial Intelligence is rapidly evolving across the global hence having serious implications of demand for workforce across the United Kingdom. As the work of mimicking human intelligence by computers and cognitive systems, AI is changing the delivery and quality of healthcare by increasing the precision of diagnosis, process efficiency, and treatment. This briefing paper provides a critical evaluation of the effects of AI on the UK healthcare labour market together with opportunities and threats to the businesses; with reference to Babylon Health and Sensyne Health.
The healthcare industry of the United Kingdom has incorporated the use of artificial intelligence due to increasing need for effective and efficient care. Artificial intelligence concepts including big data analytics, robotics and chat bots have now become important components of healthcare advancement. Currently, there are two major UK based organizations that form part of this new breed of players; Babylon Health and Sensyne Health. Babylon Health uses artificial intelligence to deliver digital health solutions which are in the shape of diagnostic aids and telemedicine services (100x Venture Hub, 2023). Sensyne Health is focused on clinical AI that utilises the patient data in enhancing medical research and treatmentâs outcomes (Wired, 2022).
Figure 5: Illustration presenting benefit of Ai impact on Healthcare Industry
AI technologies, therefore, have shown the ability to provide significant value addition to healthcare organizations. First, they bring efficiency and effectiveness to the realization of repetitive work, so that health care professionals can devote their efforts to urgent and essential medical operations. For example, Babylon Health is an application where the use of artificial intelligence chatbots simplifies the initial diagnosis allowing the general practitioner to focus on individual cases [reduces workload of GP and provides patientsâ access to the services 100* times], 2023. Likewise, through the power of AI, Sensyne Health is capable of sorting through huge amounts of data for patients, helping with clinical trials, and progress research (Wired, 2022).
However, like every technology, AI has several implications for the healthcare industry, which I will next discuss. One of the big issues is job disparity. It has to be noted, that AI technologies can minimize the clerical work by automating many of the works that would otherwise be carried out by people, for instance, appointment scheduling and patient record management (UK Government, 2021). For example, Babylon Healthâs currently provides many of these functions through digital interfaces, leading to concerns about workforce obsolescence or at least considerable diminishment (Barr Media, 2024). The first of such challenges is the skills gap. With the continued increase of AI adoption, there is a need for new competencies of healthcare workers specifically in data analysis and AI tools. AI training can be a challenge for many organisations and so are permanent upskilling programs, which can impede the achievement of objectives tied to AI and restrain its advantages (Health Foundation, 2022). Also, several ethical challenges like data privacy and security continue to be a challenge. AI systems need massive amounts of patient data, and therefore, data protection laws must be followed (Barr Media, 2024).
Based on the evidence from the present study, it can be concluded that AI has brought profound changes in the UK health care workforce configuration. Whereas, conventional positions like medical secretaries are falling out of fashion; people are in dire need for data scientist and artificial intelligence professionals. According to the UK Government, through to 2031, incorporating AI into UK healthcare systems will create the biggest net new jobs out of any sector due to increased demand stemming from population aging and improved health services. Furthermore, AI is promoting the emergence of such a new type of positions that would require both clinical background and digital competencies at the same time. For example, radiologists and pathologists use artificial intelligent to analyse images resulting in better and quicker diagnoses (Health Foundation, 2022).
Key recommendations include:
Finally, it was found that AI is creating a positive shift in the state of the UKâs healthcare system due to such advantages as time optimization, expense reduction, optimization of patient treatment. Organizations such as Babylon Health and Sensyne Health are some of the organizations that demonstrate how AI can solve key issues with the delivery of care.
100x Venture Hub. (2023) Revolutionizing healthcare with AI: How Babylon Health scaled digital healthcare. Available at:Â https://100xventurehub.com/case-study-revolutionizing-healthcare-with-ai-how-babylon-health-scaled-digital-healthcare.
Barr Media. (2024) Unraveling Babylon Healthâs challenges in the AI healthcare industry. Available at:Â https://barr.media/insight/unraveling-babylon-healths-challenges-in-the-ai-health-care-industry.
Financial Times. (2024) AI healthcare technologies and regulatory challenges. Available at:Â https://www.ft.com/content/b4dd8b0a-5328-454b-8657-769b02852dee.
Health Foundation. (2022) What do technology and AI mean for the future of work in health care? Available at: https://www.health.org.uk/publications/long-reads/what-do-technology-and-ai-mean-for-the-future-of-work-in-health-care.
UK Government. (2021) The impact of AI on jobs in the UK. Available at:Â https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1023590/impact-of-ai-on-jobs.pdf.
Wired. (2022) Babylon Health's warning for AI unicorns. Available at:Â https://www.wired.com/story/babylon-health-warning-ai-unicorns
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