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Leveraging Innovative AI Tools
Now we go to the good stuff—the actual solutions that are already changing businesses around the world. And these range from AI pricing optimization that helps you figure out the perfect price for your products to AI shopping assistants that learn with every interaction through metalearning.
Personalized Product Recommendations
AI shopping assistants of today are far more advanced than basic chatbots and can offer powerful recommendation systems within online stores. These virtual assistants, powered by artificial intelligence, are capable of much more than responding to queries—they create personalized shopping experiences based on customer needs, guiding shoppers throughout their purchase journey.
One great example of how well this approach can work is Smartsupp’s AI shopping assistant. It merges conversational interaction and intelligent product recommendations, similar to an expert salesperson in your local store. If a customer visits a children’s boots page, the AI may suggest to them the accessories they don’t realize they need in a normal store, or it may show them a premium alternative that fits their needs better.
After integrating Mira AI, the results of Pidilidi, an online children’s clothing store, are extraordinary, as you can read in the case study on the Smartsupp website:
- 20% increase in average order value
- 25% boost in chat-driven sales
- 70% of customer inquiries handled automatically
- Seamless support across four languages (Czech, Slovak, Hungarian, and Romanian)
- Efficient navigation through their 2,500+ product catalog
And the best part? In a matter of minutes, the AI chatbot was ready. No technical skills are necessary—Mira just learns about your products by web scraping and product feeds. With your new AI helper fielding basic questions and serving up customized suggestions around the clock, your team can concentrate on strategic projects that help you more than paying customers.
Pricing Optimization
Your rival just cut prices on 200 products. How long do you think it would take you to understand the impact of price changes? Hours? Days? With AI-driven pricing optimization, it occurs within seconds.
AI algorithms scour the market in real-time, sifting through vast quantities of data to determine the optimal price point for each product. They take into consideration your competitors’ moves, market demand, your stock levels, and even seasonality.
Say goodbye to cumbersome spreadsheets and manual updates — and hello to intelligent, dynamic pricing that helps you stay ahead of the curve in an ever-evolving marketplace. Define your rules once, and have AI do the heavy lifting.
Gartner research (2024) cites 15–25% enhanced profit margins by companies using AI for pricing optimization.
Enhanced Customer Service
Although AI chatbots may steal the show, they’re just one tool in a much bigger toolkit. With voice assistants taking over phone calls and AI-generated emails for customer responses, all parts of customer care are being disrupted through artificial intelligence.
Live chat is still the champion of real-time customer communication—and it will not be replaced in mere years. Modern live chat programs offer smart features such as automatic visitor tracking, instant translation, and analytical tools that help human agents provide even better service. It’s not about usurping humans but optimizing their performance.
Take AAA AUTO’s success story as a perfect example of blending AI with human user expertise. Thanks to a blend of engaging AI-powered automation with professional live chat agents, they sell an extra 900 cars per month via their digital channels.
- Generate 7,200 new customer contacts monthly
- Achieve 30% more live chat interactions thanks to AI-powered initial contact
- Convert leads at a 10% rate – five times higher than traditional contact forms
- Handle customer inquiries within 14 seconds on average
- Save 25% on costs compared to phone support
More than 60% of all purchases take place after business hours, according to data from Smartsupp. But today’s customers don’t want to wait until morning; they want answers right away, whether it’s 2 in the afternoon or 2 in the morning. And if they don’t get them, they might as well browse your competition.
Source: smartsupp
Smart logistics
AI in logistics is already delivering measurable results today. Consider UPS, whose AI-powered ORION system serves as a digital conductor, managing 200,000 routes a minute and saving the company $400 million in the process every year.
Industry leaders have accomplished such feats too: DHL has cut its operating expenses by 20% through AI, and Amazon has lowered shipping costs by a quarter through intelligent automation. These success stories are becoming more and more common as AI technology matures (Langley Search, 2024).
Additionally, AI in logistics is no longer limited to large e-commerce enterprises. What AI can add to your e-commerce store:
- Smart Route Planning
- Warehouse Automation
- Risk Prediction
- Inventory Management
- Supply Chain Visibility
Maximizing AI Benefits
AI tools, in a crowded e-commerce space, are no longer just the next tech trend, but rather a powerful tool for innovation. Whereas your competition is still fumbling around with basic automation, or worse, leaving customers with responses that take hours, you can supercharge the experience with AI to deliver 24/7, instant personalized service.
Enhancing Customer Experience through AI Personalization
According to the Next in Personalization 2021 Report, 71% of consumers now expect personalized experiences and interactions, and 76% become frustrated when they don’t get them. The modern-day shopper wants to feel understood and appreciated—not like just another ticket number in the line.
Source: Depositphotos
This is where AI chatbots, such as Mira AI from Smartsupp, are revolutionizing the game! These advanced assistants comprehend customer behavior in real time, understand product preferences, and offer personalized recommendations.
They have access to the full product list and website content, so they can make specific product recommendations, respond to in-depth questions about features and benefits, and even modify their approach to interact with each customer according to their style—whether they are a tech-savvy enthusiast or cautious first-time buyer.
Adapting to Future AI Trends in E-commerce
Looking ahead, we’re seeing several key trends shaping the future of AI e-commerce:
- More sophisticated predictive analytics for personalized shopping experiences
- Integration of voice commerce and visual search capabilities
- Seamless omnichannel experiences powered by AI
- Enhanced emotional intelligence in AI communications
- Greater focus on privacy-first personalization
Those who begin to prepare for these changes will be the winners in tomorrow’s market. With the ongoing evolution of AI technology, we can look forward to even more advanced tools that blend the efficiency of automation with increasingly human-like, natural interactions.
Sources: Depositphotos
Frequently Asked Question
How Does AI Improve the Shopping Experience?
AI revolutionizes the online shopping experience, providing the type of one-on-one service you might find in a brick-and-mortar store. AI shopping assistants also make relevant product suggestions and provide on-demand 24/7 support, ensuring greater customer satisfaction.
The technology analyzes shopping behavior to devise personalized experiences so that customers can find exactly what they need from thousands of products. AI helps in answering detailed product questions and guiding on buying, making an online shopping experience more interactive and reliable.
What is AI in e-commerce?
E-commerce AI is the use of artificial intelligence in online retail operations to automate and improve business processes. This includes automated customer service via AI chatbots, personalized product recommendations, smart pricing optimization, inventory control, and supply chain automation.
These AI systems use customer data and behavioral patterns to increase operational efficiency on the one hand, and provide personalized shopping experiences on the other, enabling businesses to increase sales and customer satisfaction while reducing operating costs.
How difficult is it to get an AI chatbot for your e-shop?
Creating an AI chatbot for your online store has never been easier, thanks to plug-and-play solutions like Smartsupp Mira AI. You don’t need coding skills to integrate this AI shopping assistant with major e-commerce solutions such as Shopify, WordPress, Magento, BigCommerce, and PrestaShop; it will take minutes to do all this.
Generally, there are two easy ways to prepare the assistant: either it can web crawl and analyze your website data itself, or you can upload your product catalog manually. After that, the chatbot learns about your products, takes on your brand’s voice, and updates automatically when your products change.
How does AI work in e-commerce work?
AI in e-commerce works by continuously analyzing vast amounts of data to automate and optimize various business operations. The systems analyze customer behavior patterns, sales data, inventory levels, and market trends to make real-time decisions.
For instance, they analyze customer interactions and deliver personalized recommendations, adjust pricing according to market fluctuations, optimize inventory, and even drive chatbots to respond to consumer inquiries using natural language processing. This allows businesses to offer automated yet personalized experiences, while enhancing operational efficacy throughout their entire e-commerce platform.
Can a small business afford AI tools, and what are the cost implications?
Today’s AI solutions range from full-scale suite products tailored for firms of every size to SaaS models based on how many calls you make. For example, AI shopping assistant Mira from Smartsupp is available starting at just €16/month for 100 conversations per month (February 2025).
One of the major benefits of implementing those AI tools is that they quickly repay their own costs by improving efficiency, increasing sales, and cutting down on costs.
