uses of artificial intelligence in product development

How Is Artificial Intelligence Improving Product Development?

Marketing Team
Published on February 10, 2021

The term “artificial intelligence” has been doing rounds for quite some while now. It is only in the last five years that AI came to the forefront and started being referred to as an integral part of almost all technological advancements. Its contribution in sectors like sales, marketing, healthcare, finance and such others is not unknown to our readers. A common misconception about artificial intelligence is that it will soon replace human workforce with technology resulting in massive job losses. Nevertheless, the reality is just the opposite. Technologies like artificial intelligence and machine learning are here to take the burden of lengthy and complicated tasks off human shoulders and resultantly, surge the accuracy of results.

One such area is product development. The introduction of artificial intelligence in this sector has completely altered the setting of product prototyping for the better. Companies that have embraced this change are clearly ahead of their competition – courtesy, minimization of errors, cost-efficiency and increased productivity.

Role Of Artificial Intelligence In Product Prototyping

Accept it or not, today’s customers are quite hard to please. They are aware of everything that is going on in the market they are targeting and most importantly, have access to endless options. Therefore, before a company plans on rolling out a new product, it must ensure that the item perfectly aligns with the ongoing market trends and has been put through a string of validation phases involved in commercial manufacturing. With artificial intelligence, prototyping an item is easier than ever. This allows production engineers to quickly incorporate changes, if required and send regular updates through real-time data derived from real-world testing.

Outlining the user experience of a product before it is sold in the market is undoubtedly the most challenging part. For the items to reap profits for the manufacturers, they must be something that the public needs or, even better, is waiting for. In order to be successful with this, the product designing team must have a clear idea about who will use it, how will it be used and a series of vital questions like these.

By letting artificial intelligence take over, designers can steer away from all these issues at once. The AI-enabled tools can gather high-quality data from the market and thoroughly analyse them to furnish the team with valuable insights that could help them delineate better designs and improve the standard of their products. Similarly, information related to customer behaviour could also be useful in understanding what are the common problems that people have with products from a particular category and how could they be resolved.

Uses Of Artificial Intelligence In Product Development

Product Planning

The first and the most important stage of product development is its planning. If the designing team isn’t supported with the essential information and insights, the planning would lack transparency. This can make it immensely difficult for the staff to track the progress and analyse its performance efficaciously.  No matter what leads to the inefficient planning, the consequences of wastage, delay in delivery and added expenses cannot be avoided.

All these challenges could be struck off with AI at your disposal. Tools powered by artificial intelligence and machine learning are capable of collecting and storing large volumes of data from reliable sources. This data can be then analysed by the AI-enabled service itself to remove biases and human errors and predict the budget and delivery time accurately. Even if the team comes up with changes that need to be implemented in the product midway, it could do so with lesser resources and in minimum time. The primary aim of these tools is to help employees focus on the project goals and so that they are in-tune with the organization’s targets in the long run.

Allocating Time And Resources

No matter how many products your company has launched and been successful with in the past, bringing in a new item in the public domain could always be nerve-wreaking. Depending on the human workforce for resource allocation could result in major miscalculations hence, leading to irrevocable losses. Besides, sudden decrease in the delegated timeline, miscommunication with your team and clients and shortage of resources at prime time are just there to make things worse.

For the manufactures to dodge these hurdles, manufacturers must turn to artificial intelligence. AI-enabled tools could smoothly predict the amount of time and resources that would go into designing a profitable product without any biases whatsoever. The historical data that the tools have access to is enough for them to assign capital and raw materials for each step of the development process and schedule regular performance monitoring. The AI algorithms make it easier to break down the complex, manifold processes into simpler and fast-paced operations.

Tracking the Progress

Once a product is launched in the market, monitoring how it is being received by the audience is extremely important to pave the road to the future. Employing manual labour to report its performance is not only time-consuming and exhaustive but, also inefficient and difficult to scale.

When the features of artificial intelligence are paired with other advanced services, the transparency of product performance is augmented several times. After feeding in all the details of product development into the system, it becomes capable of tracking every little progress and confirms whether or not it has been successful in achieving the target based on certain parameters. With more data, the predictive capabilities of the AI tools get stronger. This way, identifying opportunities for improving the product in the future becomes evident too.

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