1. How customers experience products in traditional shopping

Traditional shopping refers to the way customers directly buy products at stores, markets, or supermarkets. Since that trading model has emerged, the ecommerce experience about products has often originated from direct product-observation and -interaction. A consumer can hold and touch the item directly, feeling its characteristics, such as hardness, softness, size, or even color. They can quickly try one dress and exchange another one for a suitable size. This model has several benefits for shoppers:

• Guarantee of product quality: Customers have the opportunity to interact and observe the product directly before buying. At that time, customers can choose a product with complete packaging, favorite colors, or delicious fresh food, or a skirt of a suitable length.
• Time-saving in return and exchange policy: The traditional purchase is rooted in the amicable sale principle. Of course, the buyers will be partly responsible for goods quality due to the opportunity to touch and inspect them before buying.
• High-satisfaction level: Customers tend to be more enthusiastic and get more exciting feelings when using products. They will not put too much doubt on the reliability of the product.

The benefits of experiencing products with traditional models will have many changes in online shopping models. Although customers will enjoy the convenience of freely choosing a suitable item in a wide range of goods at more bargained prices and also experience regular promotions, the limited interaction with the product pre-buying has reduced the convenience as the traditional model did before.

2. AI invention penetrating process to optimize the ecommerce experience

With the rapid development of the digital age, customer demand is a critical factor that is a priority in every development strategy and orientation. In particular, businesses also invest more in modern technologies to optimize consumer-product interaction, and AI applications are a useful option for ecommerce experience optimization process.

Within the Ecommerce field, AI aims to the product experience, contributing to the efficiency of the business’s customer-centric orientation. The AI application has been integrated into search engine systems to support the creative and effective searching process with features such as “search by image” associating with material, shape, size, or brand. The display technology also invests in improving product interaction, shortening the distance between online and offline models.

Moreover, AI supports the ecommerce industry as a knowledgeable online assistant. This technology can bring two-way benefits when supporting both user experience and data analysis about user behavior trends.

Those are the two factors motivating brands to invest in developing more modern and efficient AI platforms towards a smarter, automated model for perfect customer experience.

3. AI trends for smarter ecommerce experiences in the digital age

Since applying to the ecommerce industry, various AI technology types have contributed to significantly changing consumer habits and purchasing decision-making processes, ultimately optimizing the convenience that customers received from online shopping. However, AI tools are continually developing and improving every day to enhance the user experience, and they also regularly stay updated with many popular trends.

Product 3D view

The 3D formats have been practical to enhance more excited customer-product interactions. Customers can observe different product aspects or even try placing a small decoration item at any house location to check the product’s suitability. This invisibility generally creates exciting experiences to increase interaction making customers more interested in the product.

Some interior brands have been using 3D scanning technology to perfectly experience interior space and architecture. Based on a provided video, customers can enjoy AR via remotely 3D virtual reality technology.

Mobile virtual reality fitting room

That AI ability can be a perfect solution when a store has too many customers visiting at the same time while the fitting room is overloaded. Customers can scan product images and try them out on a mobile phone screen. This technology is already available on Lacoste’s app, supporting customers to try their favorite shoes freely via their smartphone.

The development of 3D and virtual reality technology has proved that nothing is impossible in the digital age. AI development is also a considerable solution for ecommerce barriers, mainly interacting with products when buying online to optimize ecommerce experience.

In the future, as many expert predictions, AI can be a modern and popular trend to optimize the ecommerce experience correctly. However, businesses also need to consider the needs of target customers to have appropriate applications and increase the number of potential customers and loyal customers in the long run.