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From Nerves to Sucess: My First Client Presentation

Greetings to all my inquisitive designers and dedicated blog readers. Within this post, I’m excited to recount my first client presentation. It’s quite an amusing tale if I do say so myself.

In March, I started working on a project as a junior UI/UX designer, collaborating closely with a senior designer. Upon receiving the Business Requirements Document (BRD) from the client, its contents initially left me confused. Nonetheless, I diligently commenced work on the project following the provided instructions.

Initially, my focus was on the agent portal. However, my senior designer later reassigned me to the back office admin portal, which comprises four distinct modules. I initiated my work on the first module, specifically the back office admin segment. The senior designer informed me that, in this compact module, we would only be incorporating 2 to 3 menus on the dashboard. 

When I initially began the development of the back office module, I delved into the Business Requirements Document (BRD) and discovered a multitude of menus outlined within it. I meticulously organized these menus and set to work on them. Approximately 8 days into the project, my senior inquired, “Madhuri, how long will it take you to wrap up this module? It appears to have taken quite some time.” At that juncture, I had successfully crafted a comprehensive dashboard along with three distinct menus, complete with their respective detailed screens. When I presented my progress to him, he expressed his astonishment, remarking, “I never envisioned this module to be of such substantial scale!” What compounded the challenge was the lack of available references, with the module encompassing roughly 150 to 160 screens in total. Despite facing numerous hurdles, I finally managed to successfully complete the “Back Office Admin” module within a span of 25 days. “Back Office Admin” The name itself does have a somewhat horror ring to it for me at the time. But all jesting aside, I was genuinely relieved to have accomplished this feat.

As the moment approached for the client presentation of my module, uncertainty loomed over thinking about who would take the reins and stand before the client to present the design. I had assumed that my senior would take up this role. I vividly recall the day when my senior informed me, “Hey, you’ve worked on this module, and it’s your responsibility to make the presentation.” At that very instant, I couldn’t help but think, “Oh god, help me through this.” My hands trembled, and I felt far from prepared for the upcoming presentation.

In the wake of this revelation, I began my preparations for the design demonstration. Eventually, the moment arrived, and my senior asked me to start the presentation. Drawing in a deep breath, I began.

Initially, I presented a complete overview of the entire module with details regarding the available menus, our overarching design approach, and the step-by-step progression of our design methodology. Within this context, I explained our primary objectives and how we successfully attained them. Then I gave them a walkthrough of the design and each screen in detail with a comprehensive description of the specific module, in line with the client’s explicit requirement for a detailed design explanation.

During my initial demonstration, I showcased a grand total of 160 slides, an enriching experience in itself. Throughout the presentation, the client posed several inquiries, to which I lent keen attention and replied with utmost politeness and clarity.

Following the presentation, I gleaned valuable insights. The presentation itself has two distinct modes: the first is the online presentation, and the second, is the offline presentation. Mine was online, giving me certain advantages. Nevertheless, it is crucial to bear this point in mind to ensure the success of your own presentations.

1. Embrace Self-Assuredness: Confidence is a constant factor, even when you occasionally misspeak. Regardless of what you express, do so with unwavering confidence.

2. Begin with Confidence: As you commence your demo or presentation, initiate with a warm greeting and introduce yourself.

3. Harness the Power of Your Voice: During an online presentation, your voice takes center stage as your unique identity. Therefore, it’s crucial to employ a clear and composed tone, maintain pauses between sentences, and avoid speaking too rapidly. Allow your audience ample time to ask questions if they have any.

4. Clarify Screen Details: During any type of demo or presentation, provide a comprehensive overview of the specific screen, covering everything from the header to the footer.

5. Center Your Core Message: Concentrate on your primary message—why you’re introducing this particular design and the underlying process behind it.

6. Client Q&A Etiquette: During design discussions, clients often pose numerous questions. It’s essential to attentively listen to their queries and respond politely. If you’re unsure about a particular point, kindly express, “I’m not certain about this at the moment, but I’ll certainly follow up with you to provide a thorough response.”

These are the key points you should embrace to excel in your presentation. With these thoughts in mind, I’m signing off and will be back soon with a new, engaging blog post.

About the Author: Madhuri Vinchurkar is a passionate UI/UX designer working at Mantra Labs. With a keen eye for creating seamless and visually captivating digital experiences, she has honed her skills in crafting user-centered designs that not only look great but also offer intuitive interactions.

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Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

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