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The evolution of job roles: how traditional roles are adapting to technological advancements

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A decade ago, procurement managers found themselves staring at a mountain of paperwork, trying to finalise a critical deal for a company. The clock was ticking, and every delay meant a ripple effect across the supply chain. They must have thought, “There has to be a better way.”

Back then, supply chain roles were all about manual effort, gut decisions, and constant firefighting. A report named Anvyl’s “2023 Supply Chain Outlook,” revealed that nearly 60% of small and mid-sized businesses (SMBs) faced significant revenue losses in 2022 due to supply chain disruptions. These disruptions highlighted the importance of moving away from old methods and embracing newer, tech-enabled solutions.

Today, that world looks entirely different. Technology is transforming traditional roles into more strategic, data-driven ones. What was once a reactive process has become proactive, thanks to new-age tech including AI, IoT, and data analytics. But how are these changes shaping the future of supply chain jobs?

The transformative impact of technology on job roles

Technology has revolutionised job roles across industries, reshaping how tasks are performed and redefining skill requirements. Automation and AI are streamlining processes, allowing employees to focus on higher-level strategic work rather than routine tasks.

Reports suggest that technological advancements will impact job roles in 77% of organisations over the next five years. AI and automation are leading the charge. 75% of companies are already using or planning to adopt these technologies.

Here’s how these developments are redefining job roles and the skills required in the modern workforce.

1. The rise of hybrid job roles

The rise of hybrid job roles is transforming the future of work! As technology advances, this flexible model merges remote and on-site work, letting employees choose when and where they thrive. Perfect for computer-based tasks, it boosts productivity and engagement. 20-25% of workers can now operate remotely several days a week without losing momentum. Embracing hybrid work isn’t just a trend; it’s the key to creating agile, resilient workplaces!

2. Data-driven decision making

When businesses began expanding globally, the flood of data was overwhelming. There was this standard industry practice of making decisions based on previous data. This “rearview mirror approach” was no longer appropriate. Real-time information was what was needed to stay on top. This real-time data would be processed into critical insights. Now, with advanced analytics, we can foresee problems before they arise and adjust our strategies in real-time.

The Internet of Things (IoT) has taken supply chain visibility to a whole new level. We are no longer in the dark about where shipments were or when they’d arrive. While data analytics and IOT provide valuable insights, artificial intelligence develops understanding based on the available data.

Today, AI models have already been trained to pre-empt problems and make recommendations accordingly. For instance, Amazon employed AI strategies to make predictions on sales demand for over 400 million products on 2023 Cyber Monday, increasing its supply chain by 75%.

3. Reskilling and upskilling

To navigate technological evolution, a strategic approach to reskilling and upskilling is crucial. 60% of organisations are aggressively investing in training programmes. Experts and broader trends emphasise the importance of these initiatives in preparing a future-ready workforce through corporate training programmes, partnerships with educational institutions, government initiatives, and online learning platforms.

4. New job titles and roles

Technology is not about taking jobs away from people. It is about enabling people to focus on more important and impactful tasks. Advanced analytics have supplanted traditional statistical methods, enabling data scientists to anticipate market shifts and develop competitive strategies.

New roles are emerging:

1. IoT Specialists: IoT specialists are crucial to ensure seamless connectivity across networks. They design and implement IoT solutions that enable devices to communicate and share data effectively. They ensure real-time monitoring and control and drive efficiency. By integrating IoT technologies, these specialists help organisations collect valuable data, improve decision-making, and respond swiftly to changes in the market.

2. AI and Machine Learning Experts: AI and machine learning experts refine algorithms that align AI tools with organisational goals. They analyse vast amounts of data to develop predictive models and optimise processes, ensuring that AI systems are effective and tailored to meet specific business needs.

3. Supply Chain Strategists: Supply chain strategists take a holistic approach to supply chain management, looking beyond day-to-day operations to identify new opportunities for growth. They analyse market trends, assess competitive landscapes, and forge strategic relationships with suppliers, distributors, and partners. By understanding the bigger picture, these strategists help organisations develop proactive strategies that enhance efficiency, reduce costs, and improve overall performance. Their insights are vital for driving innovation, expanding market reach, and ensuring long-term sustainability in a rapidly changing business environment.

4. The Supergrid Hero: The Supergrid Hero is a champion of the emerging supergrid ecosystems poised to transform the supply chain landscape. They are strategic and visionary leaders who can bring together competitors and logistics companies to build a more connected network for transportation and communication. By fostering collaboration, they can minimise operational risks, streamline fulfilment processes, and promote decarbonisation efforts.

Embracing the future

Technology allows us to move away from repetitive, manual tasks and focus on innovation, strategy, and growth. The faster organisations adapt, the quicker they gain a competitive edge. By fostering a culture of continuous learning and leveraging real-time data analytics, companies can successfully navigate the demands of the future, unlocking new opportunities and ensuring resilience in a dynamic landscape. The future of work is here. The question for the C-suite is not whether to embrace new technologies, but how quickly to do so.

(Sandeep Goel, Managing Director, Moglix)

(Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the views of YourStory.)





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BrowserStack launches AI-driven Low Code Automation tool

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Software testing platform BrowserStack has rolled out Low Code Automation, a solution to simplify test automation for quality assurance teams, developers, and non-technical users. 

The newly launched solution will address challenges faced by software teams, including manual testing delays and complex automation frameworks, BrowserStack said in a statement. 

While traditional test automation requires coding expertise by often limiting non-technical testers to contribute, this tool allows user—irrespective of their technical background—to create and manage AI-driven automated tests without writing code. Users can also use BrowserStack’s cloud infrastructure for reliable test execution.

“(The AI-powered Low-Code Automation (LCA) simplifies the process of building and maintaining test automation suites compared to traditional tools like Selenium. It reduces the steep learning curve and complexity often associated with automation projects, leading to a quicker return on investment (ROI),” Chintan Doshi, Director of Product Management at BrowserStack, told YourStory

To support development teams worldwide, Low Code Automation speeds up testing cycles, boosts product quality, and enhances user experience by reducing technical barriers. 

“Citizen testers—such as business analysts, product managers, and customer support teams—can easily add validations and create automated tests with the test recorder, without requiring coding skills. This reduces their dependency on developers and QAs and empowers them to actively contribute to testing efforts,” Doshi explained.

Founded in 2011 by Ritesh Arora and Nakul Aggarwal, BrowserStack provides a cloud-based platform for developers to test websites and mobile apps across devices, operating systems, and browsers on demand.

With headquarters in San Francisco and Mumbai, the company has expanded its product line to include over 15 products, of which 10 were launched in the past 18 months.

In August, the Accel-backed firm acquired Berlin-based Bird Eats Bug, an advanced bug-reporting tool. The acquisition aims to address the existing gaps in bug reporting and streamline fragmented testing workflows.





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Flipkart’s delivery arm Instakart reports widening losses, lower revenue in FY24

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Flipkart’s delivery service arm Instakart’s FY24 losses increased multifold to Rs 1718.4 crore, from Rs 324.6 crore in the previous year, hurt by higher expenses and marginally lower revenues. 

The company, which is in the logistics, warehouse, courier and allied services business, clocked an operating revenue of Rs 12,115.3 crore in FY24, 5% lower than Rs 12,787.4 crore it posted a year ago, according to filings made with Toefler. 

During the period, the company’s total expenses increased 6% to Rs 14,149.4 crore, mainly driven by employee benefit and other expenses. 

Logistics services accounted for the majority (about 78%) of Instakart’s total operating revenues, with Rs 9,429.8 crore, marginally lower than what it collected in the previous year.

Warehousing services, which accounted for about 10% of total operating revenues, witnessed a 28.4% drop in revenue, while collection services, which accounted for 12%, remained stable. 

Just a week ago, Flipkart Internet reported a 21% rise in FY24 revenue at Rs 17,907.3 crore helped by rising income from its advertising services.

Flipkart India Ltd, which is Flipkart’s business-to-business (B2B) arm, reported a 26.4% rise in revenue from operations at Rs 70,541.9 crore in FY24. 





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Google Cloud to boost support for early-stage AI startups with new programmes, partnerships

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Google has rolled out a range of programmes and partnerships to accelerate the growth of AI startups In India. The initiatives, announced at an AI Startups Summit in Bengaluru, will support early-stage AI founders in building, scaling, and expanding their customer base through the utilisation of Google Cloud services.

 

The tech giant recently introduced Emerging ISV Partner Springboard—a 12-week programme designed to fuel growth for AI startups. Participants will benefit from hands-on support in creating go-to-market assets, consultations with Google AI experts for product refinement, guidance on technical architecture best practices, and streamlined onboarding to Google Cloud Marketplace. 

“Google is committed to empowering AI startups to drive innovation and growth. These initiatives demonstrate our dedication to providing critical support and resources to early-stage founders, helping them build and scale successful AI-powered businesses,” said Manish Gupta, Senior Director, Research, Google DeepMind. 

During a fireside chat at the Global Google Cloud Summit, Google Cloud CEO Thomas Kurian applauded startups leveraging AI and cloud technology

“At Google Cloud, our mission is to support these pioneers by providing the essential tools, resources, and mentorship they need to thrive. Through strategic partnerships, tailored programs, and advanced infrastructure, we are committed to enabling businesses to scale their impact and drive the next wave of digital transformation,” said Kurian. 

Early-stage founders will receive enhanced support through the Google for Startups Cloud Program, which will offer $200,000 in Google Cloud credits over two years. AI-based startups will receive even greater support, receiving $350,000 in credits to address the demanding computational needs of advanced AI development, the company said in a statement. 

In addition, Google has collaborated with Y Combinator to provide exclusive access to NVIDIA H100 GPUs and Google Cloud TPUs, along with cloud credits, support, and mentorship for its Summer 2024 group of AI-focused startups.

Furthermore, the tech giant is also joining forces with early-stage accelerators and incubators such as 500, StartX, and Berkeley Skydeck to provide early-stage founders with a special package, including Google Cloud credits, expert advice, and technical workshops

Earlier, the California-headquartered firm also announced the launch of Startup School: GenAI, a four-week training programme designed to help startups leverage AI.





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