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While use cases for generative AI in ecommerce are still emerging, here are five examples of how the technology is being applied today.

What is Ecommerce AI?

Innovative ecommerce AI tools make it easy to enhance business operations and digital shopping experiences.

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AI-powered customer service chatbots, product recommendations, and personalization has been part of ecommerce for years. But now, new innovations and advances in ecommerce AI are helping businesses create shopping experiences that seemed impossible just years ago. New agentic tools give businesses the power of a limitless workforce, and generative AI is already changing the way shoppers browse and search for products online.

A whopping84% of organizations say AI gives them a competitive advantage. If you’re looking for ways to implement AI to make a significant impact on your operational efficiency, customer experience, and revenue, here’s everything you need to know.

What is AI in ecommerce?

AI in ecommerce refers to the integration of AI technologies likemachine learning andnatural language processing (NLP) to make online shopping better for everyone. For example, when anonline store suggests relevant products to go along with other items in your cart, AI is working behind the scenes. It analyzes your browsing history, storefront clicks, and past interactions to serve up truly personalized suggestions.

Ecommerce AI isn’t just improving the customer experience. It can also streamline business operations, help you make data-driven decisions, and eliminate tedious, repetitive tasks. How?Generative AI (gen AI) can help you write (and personalize!)product descriptions,marketing content, and both internal and external business communications. While advanced AI likepredictive analytics can sift through historical sales data to forecast future trends and customer needs. These insights help you improve inventory and implement dynamicpricing strategies. From content creation to large-scale data analysis, ecommerce AI is a gamechanger for businesses — and the numbers prove it:

A bar chart titled "Extent to Which AI is Credited with Improvements to the Following," showing survey results for operational efficiency, employee productivity, revenue growth, and employee satisfaction/experience.

How three different types of AI are changing ecommerce

Natural Language Processing (NLP):This type of AI is what enables computers to understand, interpret, and generate human language. Businesses can use NLP to improve experiences with chatbots and virtual shopping assistants, and for large-scale sentiment analysis. It also helps brands respond to customer queries in real time and in plain language, analyze reviews for product insights, and personalize communication across different communication channels.

Machine Learning (ML):With machine learning, AI uses algorithms to learn from data and improve over time — without being explicitly programmed. This type of AI can power ecommerce experiences like personalized product recommendations, dynamic pricing, and fraud detection.

Deep Learning:Deep Learning is a subset of machine learning that uses layered neural networks to model complex patterns in data. This enables things like advanced visual search, voice recognition, and inventory forecasting. Brands are already leveraging it for features like “shop the look” based on images, smarter voice assistants, and better demand prediction across supply chains.

Key benefits of AI in ecommerce

AI offers a wide range of benefits for ecommerce businesses, significantly impacting both the ecommercecustomer experience (CX) and operations.

Make every ecommerce engagement more productive

Most customers(73%) expect better personalization as technology advances. Today's consumers are inundated with choices and expect hyperpersonalized experiences. From shopping recommendations to promotional messages — they want to feel truly understood and valued. The best part? AI and hyper-personalization go hand in hand.

AI can pore over vast amounts of customer data to help you personalizeecommerce customer service, product recommendations, andmarketing campaigns, amongst other things. When shoppers see items they ‌ want, they're more inclined to add them to their cart and complete thecheckout process. This increases yourconversion rates andaverage order value (AOV).

Pro tip: Use AI tosegment yourtarget audience, as it can help you personalize accurately instead of chasing multiple customer segments that may not convert.

A split image showing an e-commerce dashboard on the left with sales and product data, and a mobile phone on the right displaying a customer service chat with AI-driven recommendations.

Driving more productive customer engagement, AI empowers ecommerce platforms to anticipate needs and deliver personalized support, streamlining interactions from dashboard insights to direct customer chats.

Improved customer service

Our studies show that about43% of consumers stop shopping from a brand after a poor customer service experience. Luckily, AI can change this. You can effortlessly deliver more contextual, personalized customer service while boosting yourcustomer satisfaction. Here are a few ways AI can improve your service quality:

  • 24/7 instant support: Set up chatbots or intelligent, autonomousAI agents like Agentforce to deliver round-the-clock service. They can answer frequently-asked questions (FAQs), handleorder management, and offer immediate assistance beyond business hours.
  • Personalized interactions: AI analyzes customer data like past purchases, browsing history, and conducts sentiment analysis to provide highly tailored responses and recommendations. It's like having a personalshopping assistant who remembers your preferences and understands your mood.
  • Faster issue resolution: AI can quickly identify the intent behind a customer's query and either provide an instant service or route them to the most appropriate team. This reduces long waiting hours and significantly improve customer satisfaction.
  • Proactive support: AI can monitor customer behavior and predict potential issues before they flare up. For example, if a delivery is delayed, AI can automatically send proactive updates to your customer. This reduces their need to contact support.

More revenue with automation

AI can dramatically improve your bottom line by helping you identify best-selling products and optimize yourecommerce website orlanding pages. Say you’re offeringproduct bundles. AI can help you curate and personalize them based on your customer behavior and preferences. Also, it optimizes pricing in real-time based on demand and competitor activity for maximum profitability on every sale.

Automate repetitive tasks acrossemail marketing,fulfillment, andsales cycles to make sure your team focuses on more strategic tasks. Agentforce can effortlessly handle these tasks while recommending products that your customers are likely to buy. For example,SharkNinjadoes this like a pro. When a customer asks about their orders, Agentforce provides a status update and suggests complementary products. For instance, if someone inquires about their ice cream maker, Agentforce shares the delivery date and recommends reusable storage containers.

SharkNinja usesCommerce Cloud to identifyupselling, andcross-selling opportunities that boost revenue. This ‌also unifies their marketing, sales, and service efforts, helping them tap into revenue opportunities at every touchpoint.

A screen showing a "Smart Promotions" interface for e-commerce, with options to generate promotional messages and send them via email, SMS, Facebook, and WhatsApp.

AI streamlines smart promotions in ecommerce. By automating and optimizing these campaigns, businesses can significantly enhance customer engagement and drive more revenue.

Happier, more productive employees

About7 in 10 marketers expect Gen AI to reduce repetitive tasks so they can focus on strategic and critical tasks. AI can boost overall productivity and employee morale by handling tasks like data entry, inventory updates, and answering common concerns. It also provides data-backed insights, enabling teams to make faster, more informed decisions.

Think of AI as an addition across your departments that can manage tasks

that once felt tedious and monotonous. This also opens up new career trajectories and reskilling opportunities. Beyond this, when ​​employees focus on strategic activities such as innovation, deepercustomer engagement, andmarket research, it enhances their efficiency and job satisfaction.

How to use AI in ecommerce

AI can be used in ecommerce in multiple ways, transforming everything — from how customers shop to your business operations. Let’s look at five key applications:

1. Dynamic pricing

Price changes were once manual, based on tedious market research and demand forecasts. Now businesses can offer dynamic pricing powered by AI. This involves using algorithms to automatically adjust product prices in real time based on factors like competitor research and inventory levels, demand spikes, and individual shopping behavior. The best part? It can all be automated and instantaneous.

Dynamic pricing helps you maximize revenue by capturing the highest possible price, staying competitive, and reducing excess inventory through timely discounts. Ultimately, dynamic pricing with AI leads to smarter pricing decisions, better conversion rates, and higher overall margins.

2. Visual search

Of all innovative use cases for AI in ecommerce, visual search will likely be one of the most popular — and one of the most desired by consumers. Traditional product discovery on an ecommerce site involved entering specific keywords into a search bar. For example: “red sweater crop top.” Then, a shopper would browse through product listing pages and sift through a sea of red sweaters. Now, generative AI enables visual search. A shopper can upload a photo of a specific red sweater with a hasty prompt: “I’m looking for this red sweater. Only show me exact or very similar matches.” And viola! AI can return hyper-specific results. No more keywords. No more lengthy browsing sessions. Just speedy discovery and fast conversions.

3. Content creation

Ecommerce involves a lot of content: Product images, product descriptions, branding, FAQs, blogs, and more. Generative AI makes these tasks a lot easier, and a lot faster. For example, a retailer with a large catalog and thousands of SKUs needs unique descriptions for each product. With AI trained on product data, customer reviews, and SEO best practices, you can create optimized, detailed, accurate product descriptions for every item, inminutes. In turn, that means marketers and merchandisers can dedicate more time to more valuable, strategic work.

4. Personalization improvements

Forty percent of customers agree that AI raises the bar on customer experiences. By now, shoppers are accustomed to personalized product recommendations and relevant promotions. But new innovations are improving on and adding to personalized shopping experiences. In the past, AI was mostly predictive. Now, it can anticipate. For example, advanced neural networks can analyze past behavior, browsing patterns, and purchase timelines to anticipate intent and recommend productsproactively.

With the right AI tools and ecommerce platform, your site can show a different homepage to each user based on location, season, and personal shopping habits. AI can also continuously update your user segments based on real-time data. Ultimately, ecommerce AI innovations mean that you can providehyper-personalized, immediate experiences that resonate deeply with each individual shopper.

5. AI agents for ecommerce customer service

In brick-and-mortar stores, sales and service agents are your biggest asset. They can pick up on cues from customers as they shop and suggest appropriate products. Luckily,agentic commerce is here — ‌and it’s a groundbreaking shift from what ecommerce has experienced so far.

AI agents like Agentforce act as sophisticated, independent "agents" rather than just a conversational interface like live chat or chatbots. Unlike humans, agents don’t sleep and can deliver 24/7 customer service. They can deliveromni-channel customer service and effortlessly handle common concerns or frequently asked questions (FAQs). For example, when a customer contacts about a delayed order, Agentforce can check the order, detect a fulfillment issue, and even proactively initiate a partial refund or offer a substitute. Agentforce automatically hands off customer issues requiring human expertise to the most suitable customer service representative. This enables AI to fully resolve complex customer issues, not just answer them.

Product discovery is another key area where agents can help. In fact,about 39% of businesses with AI see a major improvement in this aspect. AI and agents can understand customer intent through natural language, analyze browsing history and preferences to offer tailored product recommendations. AI can also assist withconversational commerce and enable visual or voice searches for a more intuitive shopping experience. This helps customers quickly find exactly what they're looking for, or even discover products they didn't know they needed.

A classic example? If your customer wants to recreate an outfit from the latest Cannes Film Festival or is putting together a sensational piece for Halloween, agents can help them curate a look. Instead of spending hours on an ecommerce website, they can upload a photo or seek recommendations from the AI. Experiences like this increase repeat purchases, and therefore, your customer retention rate.

A bar chart showing the extent to which AI is credited with improvements in customer satisfaction/experience, product discovery, customer loyalty, and personalization.

6. Analyze data and get business guidance

AI offers deeper insights into your customer behavior, and help answer questions like these:

7. Enhance post-purchase operations

An immersive ecommerce experience doesn’t end with an order ‌ — it extends beyondfulfillment, too. AI can take up the routine tasks of tracking and collecting customer feedback, sending shipping and order tracking links, and managing returns. AI can send personalized thank-you messages and order confirmations, making customers feel valued and appreciated. Thoughtful acts like these go a long way.

AI can also conductsurveys to gather your customer sentiment. Such insights can help you strategize your ecommerce offerings.Inventory management is another critical area for AI to jump into. It can help your fulfillment partners map out more sustainable delivery routes — all while suggesting cost-effective ways to source and ship items. This is especially useful as shipping costs, sustainability concerns, and inefficient order routing are top business concerns.

8. Reduce ecommerce fraud

About36% of ecommerce businesses experienced a site outage in the past year, with 57% of them happening during a busy season. Site outages or data breaches can cause significant revenue loss, damage to brand reputation, and frustrated customers. AI helps you shift from reactive to proactive and even predictive maintenance. Machine learning algorithms are trained on historical data to understand "normal" operational patterns. They can then identify subtle anomalies in real-time before they escalate into a full-blown outage or ecommerce fraud. For example, a gradual increase in server load or a slight spike in error rates might be overlooked by human monitoring but flagged by AI.

When a new transaction or user activity deviates significantly from standard user behavior, the AI flags it as suspicious. This includes:

  • Sudden, high-value purchases on new accounts
  • Multiple failed login attempts
  • Purchases from unusual locations or devices
  • Rapid changes to account details
  • Repeated small orders (often used to test stolen card numbers)

A trustedcustomer relationship management (CRM) tool like Commerce Cloud can help you defend your ecommerce business like a pro. It’s continuously monitors your site to detect and alerts on potential issues before they cause outages. Commerce Cloud comes built-in with AI that regularly applies security updates and patches to protect against vulnerabilities. It flags high-risk orders for immediate review, and helps you meet regulatory standards likePayment Card Industry Data Security Standard (PCI DSS) to protect customer data. Evensmall and medium-sized businesses (SMBs) with lean teams and resources can sleep at peace, without worrying aboutcybersecurity threats or site crashes.

Top challenges of implementing AI in ecommerce

It’s no surprise that a technology as powerful as generative AI will come with challenges. Implementing AI and maintaining trust while you do it requires strategic thinking, loads of planning, transparency, and maniacal focus on what matters most: your customers. Here are a few considerations as you come up against the challenging task of implementing AI.

Partner with a trusted ecommerce AI platform

When implemented strategically and used correctly, ecommerce AI can elevate customer experiences and increase operational efficiency. The rightecommerce platform will empower your business with out-of-the-box tools andcapabilities to keep up with competition, personalize shopping, and improve employee productivity.

Ecommerce AI Frequently Asked Questions (FAQs)

AI in ecommerce is used to personalize product recommendations, optimize inventory management, and enhance customer service. It also analyzes customer data to improve marketing strategies and user experiences (UX).

Explore more resources for ecommerce teams


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