Transforming Shopping Experience with AI

shopping-experience-with-ai

With the advent of AI, easier access to information, and reliability on machine algorithms, it has become easier to bring offline and online shopping experiences together. Challenges that one may have with online shopping are going to be omitted in the long run with the help of technology. 

Now the question arises as to what AI can do for offline retailers? How can the touch and feel of offline shopping be replaced by the visual shopping experience? How can retailers bring the same experience online to satiate the needs of their customers without losing any base? Is it possible transforming shopping experience with AI?

Well, AI may be the answer to all these questions. Artificial intelligence has the potential to transform the shopping and retail landscape into a customer’s personalized and exquisite experience. Let’s take a look at how AI is going to be the future of shopping.

Deep Personalization

Whenever a customer is shopping, their only struggle is personalization. How can they get recommendations on better products at just a click away? Are the recommendations similar to what they prefer to wear or use? 

AI-driven personalized shopping recommendations can very well gel in here. As this technology advances, those recommendations will be able to provide increasingly detailed, personally targeted recommendations based on the customer’s tastes, hobbies, and shopping budgets.

It’s not a far-fetched idea when the evolution of AI in retail will reach a point where shoppers will be guided by an app to their personalized or preferred product on the store or online.

Read more: Chatbots can drive customer service

Augmented Reality- Making Retail more Convenient

Ikea back in 2012 used augmented reality to bring its shelves and tables to life in a living room. With the release of Ikea Place, that concept has been given a substantial makeover. After browsing the app’s over 2,000 products—nearly the whole company’s sofas, armchairs, coffee tables, and storage units—hold up your phone and use the camera to place the digital furniture anywhere in the room.

This is the power of AR in retail that enables one to visualize and experiment with what would be the best choice of products they must buy.

AI Support

AI-powered chatbots and virtual support are something that has become common in the world of online retail platforms. When you open Amazon and voice search for products, you’re using AI. When Siri or Alexa answers your question, you are using AI in your routine. 

Retail shopping platforms include AI chat support which ultimately enables customers or prospects to ask questions regarding a particular product or to initiate easy returns, etc. This in turn helps customer executives to focus on more complex issues.

Artificial intelligence is a hope in retail that will possibly help companies retain their customer base, personalize their marketing efforts, and deliver amazing customer support. This too by reducing the workload on human executives by automating a large number of tasks within the retail firm.

Most Popular

Let's Connect

Please enable JavaScript in your browser to complete this form.

Join Factspan Community

Subscribe to our newsletter

Related Articles

Add Your Heading Text Here

Blogs

Modernizing Medication Management: Data-driven Approach to Pyxis MedStation

Delve into the significance of Pyxis MedStation in healthcare, highlighting its challenges and the data-driven solutions offered by Factspan. Discover how analytics improves medication management, saving costs and enhancing patient care in the process

Read More ...
Blogs

Meta’s LLAMA 2 Vs Open AI’s ChatGPT

Explore the world of cutting-edge AI with a detailed analysis of Meta’s LLaMA and OpenAI’s ChatGPT. Uncover their workings, advantages, and considerations to help you make the right choice for your specific needs. Dive into the future of AI and its profound impact on content creation and data analysis.

Read More ...
Blogs

Data Contract Implementation in a Kafka Project: Ensuring Data Consistency and Adaptability

Data contracts are essential for ensuring data consistency and adaptability in data engineering projects. This blog explains how to implement data contract in a Kafka project and how it can be utilized to solve data quality and inconsistency issues.

Read More ...
Blogs

CDP: A band-aid solution?

Step into the world of Customer Data Platforms (CDPs) with our captivating blog, designed to guide you through every angle. Discover the origin story of CDPs – why they stepped into the spotlight. Uncover their true essence and explore the four common categories they belong to. Delve into real-life scenarios with eight compelling use cases that are revolutionizing businesses today. Tackle the question: are CDPs a quick fix or a sustainable solution? And don’t shy away from addressing the challenges that come with CDP territory. Wrapping it all up, you’ll find key takeaways that provide fresh insights into this dynamic technology.

Read More ...
Blogs

The Magical Transformation: How Nike Used Marketing Intelligence to Win the Game

Discover how Marketing Intelligence and Generative AI shape effective strategies. Learn from Nike’s success against Adidas in 2018. Dive into personalized content, automation, and insights.

Read More ...
Blogs

Web 3.0: Transforming the Future of E-commerce

With Web 3.0, users will experience heightened control over their data, leading to faster and safer transactions. For businesses, this paradigm shift will necessitate embracing AI, blockchain, and machine learning technologies to better connect with customers and thrive in this new era of digital commerce.

Read More ...