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Industries That Will Greatly Benefit from Integrating AI in App Development Using Low-Code No-Code Technology

By Gian Adato

Is your industry ready for AI? 

An unprecedented rise of everything about AI being used in business applications has been seen in the past years especially last year. As low-code no-code app development is also taking a spotlight in the tech space and is expected to grow further in the coming years, applying AI can definitely impact your industry in a positive way. We are running down 10 industry uses of applying AI in your industry using low-code no-code technology. 

Top Industries Using AI In 2024

Operational improvements brought by AI extend to many industries. Here are some we think have really huge potential.

  1. Accounting and Finance

Internally, a wide range of workflows and information management processes can be developed. Automations like risk assessments, tax filing loan approval could save time for clients and internal employees alike. 

  1. Human Resources

Reductions in onboarding times for new employees, personalized learning and development experiences designed according to employees' roles, skills, and career objectives. Other areas include effective policy communication, responsive employee support, and the creation of compelling job descriptions. There are also customization options in hiring like job posting, candidate filters and the like, that eases processes for internal recruiters or HR professionals. 

  1. Supply Chain

An automated workflow and business process to monitor and improve operations can be very beneficial to supply chain companies. This could include sourcing raw goods, to actual items or product delivery. Digitalization of the records and data can provide useful and accurate information end to end. 

  1. Healthcare

Artificial Intelligence in healthcare plays a crucial role especially in data management. AI in data management can help provide faster data especially to be used in diagnostics. With accurate data mining, medical professionals can now identify useful data patterns to provide better treatment, therefore giving top notch patient healthcare. 

  1. Retail / E-commerce

For Retail, frontline AI helps with upselling and ensuring workers are following the optimal sales script. That is extremely useful in growing the business and ensuring sales success. 

Patterns in consumer behavior? No problem. AI in low code no code technology can result in providing faster and more meaningful data, and even customer service. This can now be used in creating business strategy that meets and aligns with their customers, therefore making sound decisions, less risks and staying competitive. 

  1. Education

Understanding the learner’s behavior and preferences more, AI can help develop a more personalized learning experience via education content and learning outcomes that are tailored to the learner’s needs. Automation can also be helpful in grading, learning guidance and assistance. One more important use of AI is analytics: a learner’s data can now be processed to further understand patterns, performance improvements and the like to really help the students/learners. 

  1. Marketing and Sales

Imagine your own chatGPT in your campaigns may it be marketing or sales. That’s possible - and extremely helpful. AI will help from forming strategies, creatives (creating content, writing, advertising to even sales management). With all the data that you have, you can better understand customer interests to create a more effective and engaging experience. ChatGPT can create a more personalized chat experience that truly connects with the customers. Social media marketing may also benefit from AI as social feeds may help bring more data on audience behaviors, engagement on certain content. SureRev, a tech company employing AI assist, produces better email templates after the user supplies the strategic narratives, ideal customer profiles and product value props. 


  1. Manufacturing

AI is also taking over the manufacturing industry! From employing AI in operations to planning to product design, manufacturing companies are now able to improve a lot of efficiency and quality of their product. A lot of data now seamlessly provides help to create better products and interactions with the customers. Quality Control, using AI, is upheld via the introduction of efficient processes (better warehouse management system, anyone?) and better products.

  1. Transportation

We know that self-driving cars are already gaining ground in the tech industry for a while now. But data on traffic conditions, if optimized and used AI - can provide better traffic. This is to improve traffic flow and reduce traffic congestion. As a result, the general public becomes the winner in the end, and therefore ultimately contributes to society. 

  1. Architecture and Construction

Design problems? Meet Generative AI in design. This can truly help in providing better design concepts. The vast amount of data can generate not just better designs, but preventive resources as well (by making sure compliance with building regulations is met). Architects and engineers can optimize the layout and the buildings’ functionality and with AI, this industry is impacted and can ultimately transform how we live.

Applying AI in Low-Code/No-Code Technology

As may still not be aware, low-code/no-code development are methods of app development using drag-and-drop tools that speed up and streamline your workflow, increase efficiency, and boost productivity. Not a coder? No problem. The intuitive interfaces have become easier and give more freedom. Read more about low-code no-code comprehensively here.

Nymbl prepares for the impact AI will bring to LCNC in application development.  AI will allow businesses and individuals to create sophisticated AI applications without the need for coding knowledge. It does not mean one needs no skills, but having the freedom to simplify the process of building, training, and deploying AI models and tap the potential of AI. 

We’ve detailed how low code and no code platforms have incorporated AI into application development. Here, we also did mention three no code and low code platforms specifically in Mendix, Flutterflow and Webflow that integrate the use of AI. But there are many more platforms that offer these capabilities and we are just scratching the surface. 

”AI enables development teams to execute faster, either through a platform or through the generation of quality code (or no code).  Additionally, it supports requirements gathering. For example, AI assistants can speed up the context and detail of writing user stories. We are working to include more and more of this functionality to provide the best state of the art application development and technology agnostic advisory services to our clients” says Nymbl Founder and CEO, Martyn Mason.

2023 saw no-code/low-code development making waves across multiple industries and across small and medium-sized businesses. No matter what industry your business is in, there is an AI solution that can be custom tailored to you. 

Nymbl’s low-code no-code use cases can be found here. White papers are also available to download for FREE here. We are a leading advisory and development agency experienced in AI-enabled applications. If you’re interested to learn more about AI and how it can potentially shape your business, contact us here

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