SECTION A

$[40$ MARKS$]$

Answer ALL questions in this section.

Based on the information provided below, answer questions $1$ and $2.$

INFORMATION

TechEdge Solutions $($TES$)$ is a technology firm catering to a diverse clientele across multiple industries in various African countries. With expertise in software development, digital solutions, and IT services, TES has effectively harnessed the transformative potential of the Fourth Industrial Revolution $(4$IR$).$ By harnessing cutting$-$edge technologies such as artificial intelligence $($Al$),$ robotics, Internet of Things $($loT$),$ and data analytics, TES has emerged as a leader in leveraging advanced tools to drive innovation and enhance operational efficiency.

TES's ability to offer innovative and customisable solutions tailored to each client's specific challenges and objectives stands out as a key order winning characteristic. Leveraging its technological expertise and creative approach, TES collaborates closely with clients to develop bespoke solutions that drive competitive advantage and business growth. Furthermore, TES's responsiveness and agility in adapting to evolving market trends and client preferences enable it to consistently surpass competitors and win new business opportunities.

Key Operational Practices

TES offers highly customised and innovative solutions to clients and maintains stringent quality standards throughout the product lifecycle. The firm's commitment to delivering high$-$quality and reliable services serves as a significant order qualifying characteristic. With a focus on stringent quality control measures and adherence to industry standards, TES ensures that its solutions meet or exceed client expectations, establishing a reputation for excellence in service delivery. Additionally, TES's extensive experience and domain expertise in software development and IT services validate its capability to effectively address client needs and requirements.

Through the adoption of robotic process automation $($RPA$),$ Al$-$driven process optimisation, and smart manufacturing technologies, the firm streamlines operational workflows and maximizes resource utilisation. Through advanced scheduling algorithms and Al$-$powered workforce management systems, TES is able to optimise production schedules and resource allocation in real$-$time.

Furthermore, it utilises virtual collaboration plafforms and remote work solutions, cloud computing, and advanced communication tools to facilitate seamless coordination across geographically dispersed teams. Over the years, TES has invested in comprehensive training programs and digital learning platforms to empower employees with the necessary skills to thrive in a technology$-$driven environment.

The firm has harnessed loT$-$enabled supply chain visibility and blockchain$-$based traceability to enhance transparency and efficiency across the supply chain. Al$-$driven demand forecasting and predictive analytics has enabled TES to optimise inventory management. Just$-$in$-$time $($UIT$)$ inventory replenishment systems and smart warehousing solutions ensure timely availability of materials while minimising excess inventory.

Revenue Growth

TES has experienced remarkable revenue growth in recent years, fuelled by its strategic focus on leveraging cutting$-$edge technologies to drive innovation and efficiency. This commitment to innovation and excellence has translated into substantial revenue growth for TES, with the company consistently exceeding performance expectations and delivering value to its stakeholders. TES has successfully captured market opportunities and expanded its revenue streams. Through ongoing investments in talent development, supply chain optimisation, and digital transformation initiatives, TES is well$-$positioned for sustained revenue growth and continued success within the dynamic technology landscape. As TES remains committed to innovation and adapts to evolving market demands, its trajectory of revenue growth underscores its leadership role in driving digital transformation and delivering impactful solutions to its clientele.

The table below represents TES' quarterly revenue over the $2020-2023$ period.

$\backslash$table$[[$Year$,$Quarter,Revenue, R million$],[2020,$Q$1,12,54],[,$Q$2,10,12],[,$Q$3,15,44],[2021,$Q$4,9,68],[,$Q$1,14,14],[2022,$Q$2,13,77],[,$Q$3,17,24],[,$Q$4,12,08],[2023,$Q$1,17,43],[,$Q$3,14,77],[,$Q$4,18,89],[,$Q$1,12,98],[,$Q$2,15,22]]$

Source: synthesised by the examiner

$2\mathrm{.}2.$ Assuming that the forecast for $2020$Q$1$ is R$12\mathrm{.}54$ million, use the simple exponential smoothing method $($SESM$)$ with a smoothing constant of $0\mathrm{.}3$ to forecast the sales revenue for each quarter from

$(7$ Marks$)$

$2020$Q$2$ to $2024$Q$1$ and calculate the MAPE of the SESM forecasts from $2020$Q$4$ to $2024$Q$1($round off all forecasts and MAPE to two decimal places$).$