In 2024, the biggest ecommerce shifts were practical rather than futuristic: merchants used AI to support everyday work, shoppers increasingly discovered products across social and mobile channels, and reliable checkout and fulfillment remained essential. This is a dated look at the trends that mattered during 2024—not a claim that every tool or platform feature remains available in 2026.
What counted as an ecommerce trend in 2024?
A genuine trend had three things behind it: observed use by shoppers or businesses, a plausible effect on sales or operating costs, and a way for merchants to test it. A vendor announcement alone did not meet that bar. Nor did views, clicks or chatbot visits prove profitable sales.
That distinction matters in reading the figures below. Adobe’s online-spend and purchase data describe its measured U.S. retail traffic, while Salesforce findings describe its surveyed commerce leaders and analyzed buyer data. Neither is a census of every merchant or shopper.
| Trend | 2024 maturity | Best opportunity | Main risk |
|---|---|---|---|
| AI for commerce work | Moving into practical use | Reduce repetitive content and service work | Incorrect output or poor data |
| Social and creator commerce | Growing, especially for discovery | Reach shoppers through demonstrations and recommendations | Platform dependence and unclear incrementality |
| Mobile shopping | Established, with checkout still worth improving | Make product research and purchase easier on phones | Slow pages and friction at checkout |
| First-party data and personalization | Established strategy | Make offers and product discovery more relevant | Privacy, consent and trust failures |
| Conversational and visual discovery | Emerging | Help shoppers find and compare products | Traffic without completed purchases |
| Flexible payments | Growing | Offer payment choices that match customer needs | Fees, returns complexity and consumer debt |
| Video and live commerce | Category-dependent | Show how a product works and answer questions | High production effort without profitable orders |
| Fulfillment and returns choices | Operational priority | Make delivery and post-purchase service more dependable | Costly promises the operation cannot meet |
| Loyalty and subscriptions | Established retention strategy | Encourage repeat purchases | Churn, support costs and margin erosion |
| Voice commerce | Experimental | Support simple reorders and accessibility | Ambiguous requests and weak evidence of broad sales impact |
1. AI moves into everyday ecommerce operations
In 2024, “AI in ecommerce” meant several different things, each with distinct data needs and risks. Salesforce’s commerce research identified AI as a high-priority area for commerce leaders, while also indicating that implementation was incomplete. Its State of Commerce study surveyed 2,700 commerce leaders and analyzed data from more than 1.5 billion buyers; those figures describe Salesforce’s research, not the whole market. See Salesforce’s State of Commerce and its overview of practical ecommerce AI uses.
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Catalog and merchandising work
AI can help draft product descriptions, extract attributes, organize categories, create metadata, clean product feeds, enhance images and manage search synonyms. These are often sensible first experiments because a person can review the output before it reaches a customer. Poor catalog data, however, can make automated descriptions and recommendations confidently wrong.
Search, recommendations and product comparison
Natural-language search, personalized rankings, “complete the look” suggestions, product summaries and guided shopping can reduce the work of finding a suitable item. Their value depends on accurate attributes, availability and ranking rules—not on the presence of a chat window by itself.
Customer service
Automated support can handle routine order-status questions, explain return policies and answer basic compatibility questions. Escalate complex, sensitive or uncertain cases to a person. If the underlying policy, order or inventory data is wrong, an AI assistant can misstate a specification, promise an unavailable delivery date or suggest an unauthorized refund.
Marketing and operations
AI can draft email and ad variations, segment audiences, assist campaign analysis, forecast demand, flag possible fraud and help plan replenishment or staffing. It may lower the effort of producing and analyzing work; it does not automatically create better positioning, stronger creative or higher conversion.
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Treat AI as an augmentation layer over commerce data, not a substitute for merchandising judgment. Before a trial, record a baseline such as conversion rate, revenue per visitor, average order value, gross margin after discounts, search exits, service resolution time, returns, content-production time or recommendation-assisted revenue. Set a task, human-review policy, control group where feasible, rollback plan, privacy review and a target for margin improvement or labor saved. Also track correction rates and customer complaints so that a faster workflow does not quietly degrade quality.
2. Social commerce matters most as discovery and influence
Social commerce includes short-form product videos, creator recommendations, shoppable posts, livestreams, affiliate links, in-app catalogs and native checkout. Those functions are not interchangeable: a social post may introduce a product, influence a later site visit or complete a purchase inside an app.
Adobe reported that social media directly accounted for less than 5% of its measured U.S. online sales in the first four months of 2024, even as the share grew. That direct-attribution figure does not capture every assist or influence on a later purchase. Adobe’s dataset covered more than one trillion visits, 100 million SKUs and 18 product categories, so it is substantial but still describes Adobe-measured retail activity. The same release reported $331.6 billion in U.S. online spend from January through April 2024, up 7% year over year, and $156.9 billion of that spend on mobile. See Adobe’s January–April 2024 ecommerce figures.
For a merchant, the useful question is not simply whether a platform is popular. Check whether the relevant commerce feature is available in the target country, whether customers pay natively or are redirected, what seller and payment fees apply, how returns and chargebacks work, and what customer information can be exported. Creator agreements also need clear terms for commission, flat fees, product gifts and usage rights. Platform algorithms, policies and attribution can change; keep a direct storefront and permission-based customer channels where appropriate.
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A practical test starts with a clean product feed and mobile-ready product pages. Try demonstrative short-form content or a small creator/affiliate campaign, then use platform pixels and tagged links alongside an incrementality test where possible. Separate reach and assisted conversions from last-click orders, and evaluate contribution margin after creative, advertising, fulfillment and return costs. High engagement is not proof of profitable commerce. Shopify’s coverage discusses social platforms and live commerce among the developments merchants were watching in 2024: Shopify ecommerce insights.
3. Mobile is the main conversion battleground
Mobile affects more than a storefront’s screen size: it shapes social referrals, product search, payment choices, checkout, messaging and pickup experiences. Adobe reported that smartphones drove 54.5% of online purchases during the 2024 U.S. holiday season, from November 1 through December 31. This is a measure of purchases in Adobe Analytics’ U.S. retail data, not a global ecommerce share. Adobe’s 2024 holiday results also reported a 1,300% increase in traffic from generative-AI-powered chatbots to retail sites; that was traffic growth, not a measure of orders or revenue.
Test the phone journey end to end rather than assuming a responsive design is enough:
- Check page speed, image loading and product-image zoom.
- Make variant selection, availability and delivery dates easy to see.
- Test sticky add-to-cart controls, guest checkout and address entry.
- Verify wallet payments, coupon handling and recovery from payment errors.
- Complete purchases from social links and test the post-purchase tracking and support path.
4. Personalization works when it is useful and trustworthy
Useful personalization goes beyond inserting a first name in an email. It can mean recently viewed items, relevant price or availability alerts, regional stock, replenishment reminders, loyalty-tier benefits, post-purchase recommendations or account-specific assortments. In B2B, pricing, catalogs and approval flows may vary by customer: Adobe reported that 57% of surveyed B2B respondents offered customer-specific pricing, compared with 24% of surveyed B2C respondents. These are survey findings, not universal market rates; see Adobe’s B2B commerce trends.
Better data can make a recommendation more relevant, but using more data also increases consent, security and governance responsibilities. An inaccurate or overly intrusive message can undermine trust. Collect only what supports a clear customer benefit, respect applicable privacy requirements and test whether personalization improves conversion, repeat purchase or margin rather than assuming it does.
5. Conversational, visual and voice shopping are different bets
Text-based AI shopping assistants
Chat-based assistants can help shoppers describe what they need, compare products and navigate a catalog. Adobe’s holiday analysis found rapidly rising retail-site traffic from generative-AI chatbots, but a visit does not establish a purchase. Merchants should measure qualified traffic, conversion, order value and margin separately before treating the channel as a revenue driver. Adobe’s 2024 holiday forecast also discusses shopping and influencer traffic.
Visual discovery
Image-based search can be useful when a shopper has a visual reference but does not know the product name. It relies on consistent product imagery and metadata, and should return clear alternatives when a close match is unavailable.
Traditional voice commerce
Voice is a plausible interface for reordering familiar consumables, checking an order, adding items to a list or supporting hands-free use. It is less suited to comparing many variants or evaluating an unfamiliar, high-consideration product. The evidence here does not establish voice as a broad 2024 revenue channel.
For voice to work safely, a merchant needs structured product information, accurate stock, secure account authentication, clear confirmation before purchase and an accessible visual fallback. Similar-sounding products, misheard quantities or addresses, unauthorized orders, poor cancellation flows and opaque sponsored results are material failure modes. In B2B, voice may help with repeat ordering but is less likely to resolve complex selection or negotiated pricing. Treat voice as a targeted accessibility or convenience test, not a major investment by default.
6. Flexible payments help with choice, but have costs
Digital wallets, one-click checkout, local payment methods and buy now, pay later (BNPL) can give customers more ways to pay. Adobe forecast that BNPL would drive more than $81 billion in U.S. online spend during 2024; that was a forecast, not a final realized-spend figure. Adobe also reported that online prices fell 5.6% year over year in April 2024 according to its Digital Price Index, which is not the full consumer price index. Both figures are in Adobe’s April 2024 release.
Payment flexibility may reduce friction for some customers, but assess provider and transaction fees, fraud and identity checks, refund and return handling, local requirements and clear disclosure of the total cost. For BNPL in particular, conversion opportunities do not remove consumer-debt concerns or the merchant’s compliance obligations. Compare incremental contribution margin—not just checkout completion—before expanding payment options.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.7. Video, creators and livestreams need a product-fit test
Video can build awareness, show how an item works and answer questions; creators can add social proof; livestreams can combine demonstrations with real-time interaction. Categories such as beauty, fashion, food, consumer electronics, home products and collectibles may have natural visual or demonstrative appeal. For complex B2B products, video may work better as education and lead generation than as an immediate checkout format.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsAdobe’s 2024 holiday forecast said influencers drove substantially more shopping-related traffic than social media overall. That is Adobe’s channel analysis, not a universal conversion benchmark. Measure creator fit, qualified visits, assisted sales, incremental orders and margin after commissions and content costs. Follower count alone is a poor buying criterion, and livestream production is not worthwhile if the audience, product demonstration and follow-up purchase path are weak.
8. Delivery, pickup and returns are part of the product
A persuasive product page cannot compensate for inaccurate stock or a delivery promise the operation cannot keep. Delivery speed and date accuracy, buy-online-pickup-in-store, curbside or local delivery, shipment tracking, convenient returns, exchanges and refund speed all shape the customer experience and the likelihood of a completed purchase.
Match every promise to inventory, warehouse, carrier and support capacity. Track on-time delivery, fulfillment cost per order, return rate by product and channel, refund cycle time, failed deliveries and “where is my order?” contacts. Include shipping and returns when assessing contribution margin; a channel that appears profitable before those costs may not be profitable after them.
9. Retention strategies need sound economics
Loyalty points, paid memberships, personalized benefits, referral programs, replenishment subscriptions, bundles, exclusive launches and post-purchase education can all encourage repeat business. The financial test is whether they improve repeat-purchase rate, customer lifetime value, contribution margin per customer or referral rate enough to justify rewards, discounts and service costs.
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Subscriptions can make repeat purchasing more predictable, but they can also create involuntary churn, cancellation complaints, inventory problems and additional support work. Make the renewal terms and cancellation experience clear, and monitor retention and margin by cohort rather than counting sign-ups as success.
10. How merchants should prioritize the trends
Choose investments based on customer need, data readiness, operational capacity and measurable incremental profit—not because competitors or vendors have announced a feature. Small merchants can begin with tools already included in their commerce platform and one narrowly scoped experiment. Large catalogs should invest in accurate attributes, taxonomy and feed governance before expecting a conversational interface to fix discovery. Regulated or sensitive products require tighter claims review; AI should not independently make medical, safety or suitability claims. International sellers must check local platform availability, payments, privacy rules, tax, shipping expectations and returns rather than generalizing from U.S. figures.
- Fix the foundations: improve product data, mobile speed and checkout, then verify inventory, delivery promises and returns workflows.
- Set a financial baseline: track conversion, margin after discounts and fulfillment, returns, customer-service load and channel-assisted sales.
- Test one AI workflow: begin with a reviewable catalog, content or support task; define the human approval and rollback process.
- Test one discovery channel: try a creator, affiliate or video campaign and measure direct, assisted and incremental results.
- Add payment or fulfillment options selectively: use customer demand and unit economics to guide the choice.
- Pilot conversational or voice features only for a clear use case: keep the task simple, confirm consequential actions and offer a reliable fallback.
Across all experiments, include platform fees, creative costs, payment costs, fulfillment, returns, integration work, data handling and the opportunity cost of staff time. A trend is worth scaling when it solves a real customer problem and improves the business’s economics—not merely when it produces more activity.
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