Artificial Intelligence Trends in eCommerce to Watch in 2023 and Beyond
Retail Tech Insights | Monday, February 13, 2023
eCommerce has become more and more dependent on AI. By 2023 and beyond, AI will reshape the industry to address consumer demands and business objectives.
FREMONT, CA: Today's accelerating digital world requires eCommerce companies to achieve higher customization, personalization, and operational efficiency.
A more efficient method is to use artificial intelligence (AI). McKinsey & Company reports that AI can increase eCommerce revenue by 20 percent.
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With new markets, marketing channels, and native apps changing the buyer's experience, eCommerce firms must maintain a competitive edge. Their future is at risk if they fail to adapt.
IMPORTANT ECOMMERCE AI TRENDS
The metaverse of shopping
Users can view furniture, clothing, and jewelry online without going to a store in person. Today, brands and retailers can make it easy for customers to virtually check out products by integrating visual AI, augmented reality (AR), and virtual reality (VR).
The 'metaverse' is a new digital space at the intersection of AR, VR, and AI. Microsoft, Meta, Nvidia, Roblox, and Nvidia have bet big on the metaverse due to their impressive capabilities.
Metaverse will allow people to conduct business in a virtual environment and eCommerce.
Warehouse automation
Automation and AI optimization in warehouses will reduce manual labor costs and provide time-saving inventory management solutions.
Amazon's computer-vision-powered robots will be the norm in 2023 and beyond. Human employees cannot recognize, pick, wrap, or distribute items as quickly as these AI robots can.
Forecasting sales and demand
Nowadays, retailers use real-time and historical data to plan their inventory, and AI can assist in this process.
AI in demand and sales forecasting will involve complex data analysis and intricate business modeling in the coming years. AI will make this otherwise time-consuming process easier, allowing retailers to gain a significant advantage over their competitors.
Using artificial intelligence will also prevent marketing teams from misrepresenting data during certain seasons and save them time. The data will be collected and processed more efficiently.
Tagging products automatically
Using AI to tag products in a catalog will be extremely useful. For instance, jackets can automatically get tags like "blue," "long sleeve," and "leather."
Time-saving, swift, and human-involved, this process saves you time and money. Aside from text or visual search, targeted recommendations, and smoother customer experiences, this automated product tagging is also quite useful for text and visual search.
Shoppers will benefit from automated product tagging in the coming years.
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