How AI is improving the retail shopping experience for customers

Gartner has seen “surging interest” in AI in the industry since as early as 2016, said Unni. Findings from the 2021 Gartner CIO Survey identified AI as a top emerging technology, with 49% of retailers having implemented or planned to implement it in the next 12 months. “We have seen AI being deployed across a gamut of retail functional areas and enterprise applications as part of business process and execution,” said Gartner senior director and analyst Sandeep Unni. In this unprecedented climate, retailers across industries are leveraging the multitudinous capabilities of artificial intelligence . You’ve always had to try to predict trends — but now with a slowed supply chain, you have to look 12 months out instead of six.

AI-powered Caper shopping cartWhen the customer has finished shopping, they then need to enter a sensor-enabled lane which automatically charges their card. AI gives them access to streams of data that improves speed, efficiency and—ultimately—their business decisions. When the customer gets to their local Starbucks, the order will be waiting and they can skip the line.

AI in E-Commerce & Retail

Additionally, billions of unique profiles are integrated with AI to help marketers with customer relations and increase ROI. Valyant AI develops face-to-face AI for customer service that strives for naturalistic interaction between human and machine. How To Use AI In Retail Industry The company’s customized voice-based assistants can be integrated into call-ahead phone systems, restaurant drive-throughs and mobile apps. Using optional facial recognition, they can even remember who you are and what you last ordered.

Retailers are personalizing customer experiences, turning consumer data into actionable insights, and improving customer service with real-time conversational AI. NVIDIA is making it possible with the NVIDIA Riva SDK, an end-to-end workflow for speech recognition and speech synthesis, language understanding, and more. Riva includes world-class automatic speech recognition and text-to-speech that runs in real time. The Riva custom voice feature makes it possible to create a unique voice for your brand, virtual assistant, or call center with only 30 minutes of data. It can be further tuned for different languages, accents, domains, vocabulary, and context. According to the report published by Syte Visual Conception Ltd. 2020, almost 80% of shoppers have started with a visual search while shopping.

Customer satisfaction tracking.

According to the United States Department of Commerce, retail sales in the United States are expected to reach USD 5.99 trillion in 2023. The rising automation to enhance customer experience is likely to drive market growth. The use cases and trends outlined above give a good idea of how AI is already impacting the retail industry. But even though the positive impact of AI technology can hardly be overstated, many fears and stereotypes are still alive among various retail stakeholders. The idea that AI will substitute human workers is a good example showing how the fear of technology prevents retailers from gaining the maximum possible value out of innovations.

The retailers are improving their online customer serving capabilities by implementing artificial intelligence technology. For instance, ViSenze offers a wide range of intelligent e-commerce solutions such as cross-device experience, smart recommendations, discovery and inspiring SEO marketing. Based on offering, the Artificial Intelligence in retail market is segmented into solutions and services. The solutions considered are smart store, digital commerce, intelligent customer insights, smart delivery, intelligent supply chain, and more. The growing challenges in managing various retail operations are likely to drive the new and innovative automated solutions in the retail industry. The AI-based retail solution helps retailers manage logistics, supply chain operation, warehouse management, and improved customer experience.

The United States is an early adopter of AI technology and is witnessing high technology investment in AI. The country is also witnessing new startups and small enterprises emerging due to the rising demand for technology. This is expected to boost artificial intelligence in retail industry growth. AI in retail involves the use of automation, data, and technologies such as machine learning algorithms to deliver highly personalized shopping experiences to consumers.

We developed a system for product suggestions based on tracking a customer’s location and actions in a store. It was aimed to boost sales for shop owners while improving customer experience by providing smart recommendations. Intel® Xeon® Scalable processors deliver high performance for machine learning and deep learning in the cloud with built-in features to accelerate AI.

Let’s look at the example of pricing as one of the key domains of category management. As the price remains the core factor underlying consumer behavior, many category managers dedicate the major part of their time to price management. In past, it took days to collect the relevant data, analyze it, and adjust category prices based on findings. The uses cases outlined above were ones helping to enhance the shopping experience of each consumer.

• At the same time, every category manager knows that the strategic processes and tasks mentioned above are just one part of the job.
• This has given retailers and consumer good organizations a great opportunity to adopt sustainability initiatives that integrate with their digital presence.