How Generative AI for Business is Shaping the Industries

August 23, 2023

Generative AI has made its way into the business world, with a notable 35% of companies having incorporated it, as per IBM’s global AI adoption index of 2022. This swiftly expanding field is revolutionizing business operations by enabling companies to solve complex problems with ease. Generative AI tools, including ChatGPT, analyze vast quantities of data to produce exclusive insights that traditional methods often fail to deliver in a timely manner.

Generative AI for business has a far-reaching impact, ranging from content creation automation to supply chain optimization and improved customer service. By combining machine learning and natural language processing, generative AI tools empower businesses to make well-informed decisions, optimize their operations, and augment their profits.

This blog will delve into the myriad of complex business problems that generative AI tools such as ChatGPT can address.

Before we take a look at the top complex business problems that generative AI tools can solve, let’s get some basic understanding about what generative AI is.

Generative AI is an extraordinary form of artificial intelligence that involves utilizing sophisticated algorithms to generate innovative and novel data or information. Unlike traditional AI systems that adhere to pre-set rules, generative AI can create something entirely new by analyzing intricate patterns within existing data.

This feature of generative AI makes it an exceptionally powerful and useful tool for businesses that seek to solve complex problems that require creativity and innovation.

One of the most prevalent applications of generative AI is in natural language processing, where it can be employed to fabricate original text or dialogue. An example of this is ChatGPT, which is a massive language model designed by OpenAI that has the capacity to generate human-like responses to text prompts. As a result, ChatGPT is an ideal tool for chatbots and other conversational interfaces.

Top complex business problems that can be solved with generative AI tools like ChatGPT

Now let’s take a look at the primary business challenges that can be addressed by utilizing generative AI tools such as ChatGPT.

Content creation

Crafting high-quality content is one of the most daunting and time-consuming task in the corporate world, whether it’s producing product descriptions, promotional materials, or even entire articles. Companies can leverage generative AI technology in business in such cases to generate acceptable quality content in a limited amount of time.

By utilizing natural language processing and machine learning algorithms, generative AI tools can evaluate existing content and create new, high-quality content that meets specific standards. This may involve considerations such as tone, style, and even targeted audiences.

For example, an organization may use ChatGPT to construct social media posts tailored to a particular demographic or to generate product descriptions that highlight specific features and benefits.

In addition to saving time and resources, this approach may also enhance the general quality and consistency of the content. This is especially useful in fields such as eCommerce, where product descriptions and reviews play a critical role in driving sales.

Customer service

Customer service is a vital field in which generative AI tools like ChatGPT can address challenging business problems. Chatbots powered by ChatGPT can provide customers with prompt and precise answers to their inquiries, improving the overall customer experience. They can also make tailored suggestions to customers based on their purchase history and preferences.

For instance, a retailer may employ ChatGPT to create a chatbot that can help customers locate products, answer inquiries, and process orders. The chatbot can also be programmed to identify and resolve customer complaints and issues, ensuring timely resolution and customer satisfaction.

Similarly, a healthcare provider may deploy a ChatGPT-driven chatbot that can help patients schedule appointments, provide information about medical procedures, and answer health-related questions. This may help healthcare providers streamline their operations, reduce wait times, and enhance patient outcomes.

[Also Read: How is artificial intelligence making the healthcare sector intelligent?]

By leveraging this technology, businesses can boost their customer experience, enhance operational efficiency, and drive growth.


Aiding in a company’s legal operations is one of the most important generative ai business applications. Corporations can derive considerable advantages from the utilization of generative AI tools in their legal departments. By means of the ability to perform legal research, scrutinize case law, and formulate legal documents, generative AI has the potential to enable legal teams to operate more capably and proficiently.

To provide an example, a company’s legal team could make use of ChatGPT to scrutinize contracts and pinpoint prospective legal predicaments, thus ensuring compliance with legal regulations and diminishing the probability of legal disputes.

Furthermore, ChatGPT’s prognostic abilities could aid legal teams in making well-informed decisions by examining preceding verdicts, laws, and regulations. This, in turn, could enable companies to formulate effective legal tactics and minimize the likelihood of probable legal disputes.

By leveraging generative AI for business, corporations can enhance their legal teams’ productivity and efficiency, curtail costs associated with legal research and document drafting, and elevate the caliber of legal services provided. Therefore, it comes as no surprise that an increasing number of corporations are resorting to these tools to streamline their legal processes. However, on the other hand, such tools can also get a business in trouble if not developed in compliance with local and global regulations around AI.

Handling HR  processes

Artificial intelligence instruments like ChatGPT have the potential to offer significant support for corporate HR operations. ChatGPT, through natural language processing and machine learning techniques, can mechanize repetitive HR chores while delivering exact and swift answers to staff inquiries.

For instance, enterprises can leverage the power of generative AI for business to devise a virtual HR assistant. This virtual assistant can help employees with tasks like managing leaves, administering benefits, and introducing new hires to the organization. Moreover, the chatbot can offer tailored career development recommendations to workers based on their skills and interests, thereby improving employee participation and retention. Furthermore, generative AI can be utilized to institute cheating-prevention measures in online entry tests.

Furthermore, ChatGPT can back up talent acquisition by scrutinizing resumes and job descriptions to spot competent candidates for unoccupied positions and schedule interviews. This can assist HR departments in saving time and enhancing the quality of recruitment.

In essence, there are a lot of benefits of generative AI in business, especially in HR operations.  This technology can enable businesses to optimize their HR procedures, downsize labor costs, and enhance worker satisfaction and retention.

Data analytics

Generative AI technology in business offers a significant advantage in data analytics by uncovering hidden patterns and trends that may elude human perception. The capacity of AI to reveal such insights presents businesses with the opportunity to identify new areas of growth, optimize operations, and heighten the satisfaction of their customers.

The sentiment analysis capability of generative AI serves as an excellent use case in data analytics. Tools like ChatGPT can analyze social media data to identify the disposition of customers towards a brand, product, or service. Businesses can leverage the benefits of generative AI in business by using this information. They can refine their marketing strategies, develop an in-depth understanding of their customers, and enhance customer contentment with the help of this data.

In addition, generative AI tools have the potential to analyze vast amounts of data and detect potential risks. Such analytical insights offer businesses using generative AI the ability to proactively identify and address potential issues before they escalate.

By analyzing customer feedback and behavior, generative AI technology in business can identify patterns that signify a high risk of customer churn. This functionality permits businesses to proactively address such patterns, thereby retaining customers through personalized offers and incentives.

[Also Read: A Complete Guide on Data Science & Analytics for Businesses]

Enhance sales

Many organizations use generative AI for business, particularly to enhance their sales. Generative artificial intelligence (AI) is gaining importance in the business world as a means of augmenting sales and staying competitive. One specific application of this technology involves the use of generative language models to create personalized product descriptions that cater to the individual needs and preferences of customers. Through analysis of customer data and behavior, generative AI is capable of generating descriptions that are unique and compelling.

Price optimization is another way in which generative AI technology in business can be put to good use. By analyzing market trends, customer behavior, and competitor prices, generative models are able to generate optimal prices for products or services. This allows businesses to maximize revenue while still providing value to their customers.

In addition, generative AI can be used for business by companies who want assistance with customer segmentation and targeted marketing campaigns. By scrutinizing customer data, generative models can detect patterns and create targeted campaigns that will appeal to specific customer segments.

Sales training is yet another area where one can use generative AI for business. Generative AI can develop personalized sales training programs tailored to the individual needs and strengths of each salesperson. Through the analysis of performance data, generative AI can generate customized training materials that address specific areas in which the salesperson needs improvement.

New product development

New product development is another great use of generative ai for business. Developing innovative products and expediting the design process can be intricate business quandaries for numerous corporations. Nevertheless, there are creative methodologies to tackle these obstacles, and one of them is through the utilization of artificially intelligent-powered mechanisms.

By exploiting AI, enterprises can expeditiously scrutinize copious amounts of data and produce optimized designs grounded on specific parameters. This can significantly reduce the duration and expense of product development while still ensuring quality and performance.

For instance, in the manufacturing industry, AI-powered design tools can scrutinize various design constraints such as weight, strength, and material usage to generate optimized designs for products such as car parts, airplane components, and more. Thus, new product development is one of the most exciting generative ai business use cases.

Moreover, AI-powered mechanisms can also be utilized to formulate personalized product designs based on customer preferences and behavior. By scrutinizing customer data, enterprises can generate unique and tailored product designs that meet the needs and expectations of individual customers.

[Also Read: How to adopt artificial intelligence in your business? A complete guide]

By using generative ai in their business, enterprises can remain competitive and introduce novel and captivating products to the market more efficiently and effectively.

Fraud detection

To tackle the intricate problem of fraud detection in the business sector, companies may employ AI-powered tools. These tools have the ability to actively detect and thwart various types of fraudulent activities.

One advantageous application of using generative AI for business is in the arena of forged ID documents identification. These tools swiftly scan and authenticate identity documents like passports, driver’s licenses, and more to prevent fraudulent activities.

Furthermore, companies can utilize AI-powered tools to identify payment fraud. These tools scrutinize payment data and recognize dubious transactions or patterns, empowering businesses to take appropriate action and prevent fraudulent activities.

Another area where AI-powered fraud detection tools can be of service is in the verification of fake accounts. These tools scrutinize user behavior and data to spot phony accounts and preclude them from accessing the platform or initiating fraudulent transactions.

In addition, AI-powered tools have the capacity to expose email phishing scams. These tools examine email content and user behavior to identify potentially harmful emails and warn or block the user before any harm is done.

Generative AI technology in business offers fraud detection mechanisms that can shield businesses and their customers from monetary loss and reputational damage.

[Also Read: How Machine Learning Helps in Financial Fraud Detection in the FinTech Industry]


Businesses operating in the field of coding encounter intricate issues related to composing efficient and error-free code. Nevertheless, there exist AI-fueled tools that can assist in resolving these challenges.

Coding is one of the major generative AI uses for businesses operating in the code-creation space. Through analyzing pre-existing code, they can generate fresh code that is optimized, precise, and streamlined.

Quality assurance is another area in which AI-driven tools can render assistance. By scrutinizing the code, they can detect possible errors prior to them causing any hindrances. CodeSonar, for example, is an advanced static analysis tool capable of identifying and remedying errors in code, thereby saving developers valuable time and effort.

Industries that can use generative AI for business

AI has a big impact on a lot of industries, across domains and a lot of industries are waking up to its potential. Here are some generative AI examples in business.


AI tools can help identify potential drug candidates more efficiently and accurately. Exscientia is a company that  has already developed two drugs with the help of AI that are now in clinical trials, with two more on the way.

Generative AI can also transform other areas of the healthcare sector, such as in-hospital patient communication. Our client YouCOMM, for instance, has used AI to provide real-time access to medical help and reduce patients’ assistance wait time during emergencies.

Artificial intelligence is making the healthcare sector intelligent in a plethora of ways. One can expect that the use of generative AI in healthcare will increase with time and we will break many barriers in the pharma and healthcare sector with their help.

Discover new materials

Material science is another arena where generative AI can help.

One exciting development is that researchers at the Center for Functional Nanomaterials have successfully employed generative AI to discover novel self-assembling nanostructures. This breakthrough has opened up possibilities for generative AI business applications, which can uncover materials that improve the efficiency of batteries, solar cells, automotive parts, and other technologies. Additionally, generative AI can be utilized to optimize the manufacturing processes of existing materials, resulting in a decrease in production costs and an overall improvement in material quality.


The realm of finance poses numerous intricate obstacles that can be conquered through the aid of generative AI instruments. For instance, by analyzing sizable datasets, identifying trends, and foretelling the likelihood of default, generative AI tools can assist in credit risk assessment.

Appinventiv, for instance, helped a distinguished European bank optimize its customer service and diminish customer churn by utilizing AI and machine learning technologies in a mere ten weeks.

Investment management is another domain where generative AI tools can prove advantageous. Banks like JPMorgan Chase and Capital One are successfully using AI in their baking systems.


In the field of education, generative AI development services can provide a personalized and individualized learning experience by analyzing student data and behavior to create customized learning materials. By doing so, it can heighten student engagement, enrich the learning process, and empower teachers to give bespoke feedback to their students.

[Also Read: Reimagining the future of education with the metaverse]


In the realm of entertainment, generative AI can deliver personalized recommendations for movies, music, and other entertainment based on the user’s preferences and behavior. This can enhance the user’s experience, stimulate their curiosity, and prompt them to explore new content.


Moreover, generative AI has the capability to improve the job search process. It can scrutinize job data, align candidates with suitable opportunities, and optimize recruitment processes for employers, enhancing efficiency and personalization. Through the implementation of generative AI, the job search experience can be tailored to meet the needs of both job seekers and employers, leading to more successful job matches and fulfilling careers.

Appinventiv reduced JobGet’s job fulfillment period to 3 days, making the employment landscape accessible, instant and efficient, leading to $52M funding.

How Appinventiv can help you leverage the power of Generative AI for your business

Appinventiv, a preeminent software development company specializing in artificial intelligence (AI) and machine learning (ML), provides groundbreaking solutions to unleash the potential of these nascent technologies. Our proficient developers devise intelligent AI development services that automate tasks, resolve issues, and enrich customer experience. We possess the technical prowess of implementing AI and ML in existing applications.

With our emphasis on data acquisition and processing, analytics, multi-platform integration, and machine learning, we guarantee that our resolutions are customized to fulfill the unique needs of every enterprise. We collaborate with a wide range of sectors, including healthcare, fintech, eCommerce, education, and social services, to create top-tier products that seamlessly amalgamate with their business objectives. Join forces with us and permit us to elevate your business to the next echelon with AI and ML.


Q. How to use generative AI for business?

A. Generative AI possesses various use cases for optimizing business operations. It can be employed to automate workflows, create innovative products or services, optimize marketing campaigns, and predict trends.

Q. What is an example of generative AI in business?

A. One such example of generative AI being used in business is through chatbots, which utilize natural language processing and machine learning algorithms to comprehend customer inquiries and deliver relevant responses.

Q. What are the business benefits of generative AI?

A. The advantages of utilizing generative AI in business are abundant, as it can enhance efficiency, productivity, and accuracy, all while generating cost savings and opening new revenue streams. Moreover, it can elevate the customer experience and provide valuable insights into consumer behavior.

Co-Founder and Director
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