The involvement of AI in packaging allows your business to make unique, vibrant and memorable package designs that accurately reflect your brand ethos.
Additionally, AI also improves the package inspection process.
Over the years, the way products are marketed to customers has assumed equal, or, in many cases, greater, significance than the products themselves. Most people identify and remember the taglines and snazzy graphics on the cans of aerated drinks than the sugary syrup contained within them. Apart from keeping your products cocooned and safe from external elements, getting the packaging process right helps sell your product more quickly due to consumers’ general tendency to relate quality and reliability with aesthetics. Already, businesses use AI for several digital marketing areas, and so, the use of AI in packaging makes sense for your organization. Here are some of the ways in which AI optimizes product packaging:
Generative design tools make the process of product and package design autonomous. Such tools create multiple design iterations for the packaging of a product. They promise to minimize the lead time of product development and design in the future. A generative design tool works iteratively, which means that it initially creates a design based on the constraints provided, before improving on it by taking the directions provided by a human designer. Designers finalize the design by selecting parts of the output—known as the "feasible region"—to perfect the initial design with each subsequent iteration. AI can be used in place of a human designer to reach the desired result by going through a minimal number of iterations. Machine learning models used for the purpose can select the outputs to ensure that lesser time and money are spent on the package design. Your package design is a part of your unique brand identity. Therefore, creating an aesthetically pleasing package design that aligns with the ethos of your brand is vital for crisper marketing and improved sales of your products. The use of AI in packaging along with generative design tools helps businesses with accurately creating such designs at a rapid speed. 2. Optimal Packaging Material Selection
Massive retail companies such as Amazon use AI to select the most appropriate material for packaging. This helps such businesses make product packaging more environmentally sustainable. Additionally, such materials are also used to bolster packaging and make it more damage-proof to reduce chances of product damage while deliveries are carried out. As you may know, getting material choices right in packaging is challenging as there is an infinite number of choices and combinations available. Machine learning models scan through all materials available. Factors such as porosity, rigidity and elasticity are closely analyzed by such tools before providing the best material recommendations for every type of product.
These applications just form the tip of the iceberg when it comes to AI and product packaging. There are several other uses of AI in packaging. Machine learning and AI assist your business with reducing the time taken in packaging while improving the packaging quality and design simultaneously.
Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.
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