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There is no ‘good’ or ‘bad’ in design. But, there are right choices that you can make to strike the right balance. The right choices always revolve around the balancing of elements and how to go about incorporating them into your design. Design is largely intrinsic, something that depends on how you look at it.Utilizing strong design principles will go a long way in transforming your UX desgin for your users.

 

But, how do I improve it?

The vital ingredient of any design is a discernable pattern. Patterns are universally observed, and by incorporating the right examples in your designs, it can evoke a desired reaction or response to a specific interaction. So the challenge is to decide – how do you want the user to perceive the design while simultaneously solving the usability problem.

Let’s look at some simple steps.


Hierarchy
This is level zero. By setting visual hierarchy, you are communicating to the end-user where to look first. The entire sequence, along the visual journey, has to be laid out first. For example: making an element bigger to draw the attention and set a focal point for the user. Hierarchy can also be set by using white space or bright colours to highlight crucial parts of your interface.

In Fig A, the design has all the information laid out for the user, but it’s set in no particular hierarchy, meaning there is no indication of what is important and what is less important, so a user can feel lost in the visual journey of what message the design actually intended to say.

      

Fig A                                                                                                                          Fig B

In Fig B, by using intentional white space, we bring the most important message to the fore – so what a user sees first is that the game night is between who, where and when, and everything else is kept secondary to it.

Keeping things simple and consistent
By keeping the elements in your design minimal, placing them in your layout will be easier to manage – making it easy for users to navigate through your design. Too many elements in one design can be off-putting and confusing to look at. Consistent use of elements is a better approach, that usually sets the users mind at peace – like the style of a button or the placement of a close button. In this way you are guiding the users on what to see first and where to click next. Interaction consistency is also as important as visual consistency. Always try to minimize the number of ‘clicks’ in your design – no one likes to engage in redundant clicks to get quick information.

In the examples below, the design on the right can be improved by simply reducing the number of clicks from 10 clicks to 5, by reducing redundancies in the information design.

Reducing redundancies in the information design.

 

Mind the space
Spacing is vital for great composition. Using whitespace and negative space correctly, plays a crucial role in your design. It is just like your living room, when you decide what to keep in a particular area and where to leave space – the same applies to your design also. For example, when there is only a line or two of text, try to put the text in the one-third

of your art-board either from top or bottom. If however, there is more text to work with try to group them and set the hierarchy by increasing or decreasing spacing between each group. By incorporating enough white space in your design, there will be sufficient breathing area for users to relax their eyes into.

White space is not just empty space. It’s about creating enough room for your text and design elements to co-exist.

 

Typography
Sensible use of typography can really enhance your design. Selecting the right typography involves certain decisions that include a choice of font family, weight & size, leading, tracking, kerning and scale. Avoid using too many fonts from different font families. Instead, use one or two font family and play around with font weight and size to find what works best for your design. Also remember, If no one can read the text on your design, it defeats the purpose of putting all that effort into your designs. Lastly, avoid using font colour which may clash with your background colour For example, ‘Red’ text on an Orange background, is an extreme choice.

 

Contrast
Emphasizing certain elements of your design is both visually appealing and functional. Finding the right color mix for temperature, saturation, hue, and intensity can help you set hierarchy for the elements you want to bring out in your design. However, contrast isn’t just a colour thing. It also involves shapes, edges, textures, scaling, and size. Albeit, like with almost any other design concept, it can be overdone. You should make sure that the contrast in your design isn’t so dramatic that it’s jarring unless that’s your specific intent.

 

Not a good way to use contrast

 

A more balanced contrast

 

Balance the Elements
This is where you draw the line between your design and your users. A design is not useful if it doesn’t solve a problem. Likewise, it is also not so useful if the user didn’t get the message right. Information is important to get across – it should have a higher priority in your design approach and draw the user’s attention first.

In the images below, the content is the same but what makes the right image better is the complete balancing of all the elements, relaxing the design using appropriate spacing and placement without overwhelming the user with all that textual information.

Making the right design choices for enhancing a user’s experience is all about creating a seamless link between the user and the applications they use. Every designer has their own style and while these design principles are important to consider – it’s more important to stay original and keep practicing.

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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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