Many AI applications in eCommerce are not futuristic anymore. Online stores suggest the perfect products and chatbots analyze inquiries. They are ordinary features we expect from a good store. But there's more behind the scenes for shoppers and store owners. Let’s explore the seven AI use cases in eCommerce, from product discovery to delivery, and beyond.
1. AI-Powered Product Discovery
Artificial intelligence helps find that one thing your buyer saw on Instagram but has no idea what it is called. The reason you need AI for this task is quite simple: it is impossible to collect and analyze each customer's preferences manually.
Today, eCommerce owners can take advantage of AI to make product discovery as easy as possible with text, voice, and images.
Visual Search: I Want That Shopping
With visual search, users don't have to type awkward search terms like flowy red summer dress with tiny flowers. They can upload a picture, and AI will do the rest.
ASOS’s Style Match is a good example of this technology. Shoppers snap a picture of an outfit they love, and the AI finds similar styles in the store. This feature relieves users of keyword struggles and scrolling through hundreds of pages.
And it’s not just ASOS who knows AI use cases in eCommerce. Home Depot lets users snap a picture of a tool or part they need, and the algorithms match it to the store's inventory. When people need a replacement tile but don’t know the brand, they know how to solve it.
On the tech side of things, this works so well because AI technology recognizes colors and analyzes shapes, textures, and even styles.
Voice Commerce: Shopping by Talking
Typing is not even old-school. In fact, older people have always been among the first to adopt voice technologies. More people are now shopping by talking, with 52% of smart speaker owners using voice commands to look for deals. For example, if someone is running low on coffee, they can just say, “Alexa, order more coffee pods.” Done.
Retailers are taking this a step further. Walmart Voice Order lets you add groceries to your cart by talking, and its AI tools remember your past purchases. So if you say, “Add milk,” it knows you mean your usual brand and size.
But things get even more interesting. Future AI in eCommerce won’t take orders only. The algorithms will negotiate for you. Users could ask AI to find the best deal on sneakers, and it would compare prices, apply promo codes, and more.
Fit & Size Recommendations
All the people have been there. You find the perfect pair of jeans online, order your usual size, and when they arrive… they fit like they were made for someone else.
Sizing is one of the biggest pain points in online shopping, and it is also why 53% of online clothing returns are due to wrong sizing. AI is changing that.
For instance, Nike Fit scans your feet using your phone’s camera and tells you the exact sneaker size you should buy, down to the millimeter. It finally leaves people with no guesswork between an 8.5 and a 9.
2. AI in Customer Experience
After finding the perfect product, buyers can have questions. Instead of waiting forever for customer support, they can reach out to consultants who are always online.
Chatbots: Not Basic Auto-Replies
Yes, chatbots have come a long way and their first versions were the worst. They’d hit you with robotic, canned responses that didn’t actually help. But today’s AI-powered chat assistants are much better and more sophisticated.
Sephora’s Virtual Artist lets users upload a selfie and recommends makeup shades that match their skin tones. This chatbot idea came from a very real problem of foundation and skin mismatches that millions of makeup lovers have.
So now AI chat can do much more than answer FAQs. It can sell smarter. Another example is Domino’s AI assistant, which remembers your favorite pizza and lets you reorder in seconds.
What’s next?
AI-powered holographic shopping assistants. Imagine your buyers walking into a store (or even shopping from home with AR glasses), and a virtual assistant greets them. It could pick out outfits, suggest accessories, or even style their purchases in real-time. The future of online shopping with AI systems might feel more human than we think.
Sentiment Analysis That Reads Between the Lines
It is hard to overlook all the reviews, social media comments, and support tickets brands get every day. No human could possibly keep up. But AI can. It scans thousands of customer reviews in seconds, picks up trends, and spots complaints before they go viral. It can even predict when a customer is about to leave.
Many brands use AI to adjust inventory based on real-time feedback, too. If tons of customers complain that a shirt runs too small, AI flags it, and the company can adjust sizing recommendations before returns.
AI can also tell when a customer is about to churn. Maybe they’ve been browsing but not buying, or they left something in their cart for too long. Instead of letting them go, AI can send a personalized discount or an exclusive offer to keep them engaged.
3. AI in Marketing
Irrelevant ads are the reason people start hating marketing. A typical case is getting bombarded with baby stroller ads because you bought one baby gift once. AI use cases in eCommerce make advertising more valuable to buyers because the algorithms learn what people really want.
Predictive Personalization Knows What Users Want Before They Do
Netflix does it best. That's why we always know what show we’ll binge next. In online retail, algorithms can do the same. For example, in clothing, AI can curate full outfits based on style history, past purchases, and even feedback. The more people shop, the smarter it gets.
But this goes beyond clothes. Amazon’s recommendation engine drives 35% of all its sales. So, when AI personalizes suggestions correctly, people actually buy. Instead of showing what’s trendy for everyone, the system pinpoints what is relevant to a particular person.
Advanced tools can also predict when someone will run out of coffee and remind them to reorder before they even realize it. It works for all regular products, like vitamins, pads, or sugar.
Writing Product Descriptions at Scale
If you’ve ever listed something on eBay, you know the struggle of writing product descriptions. The good news is that eBay’s AI-powered listing tool can now generate detailed product descriptions in seconds. They are more accurate and sometimes better than what humans would write. They are so good because algorithms analyze similar listings, pull key details, and create descriptions that sell.
Will it replace human copywriters? Probably not completely. Humans still have the edge when it comes to creativity, emotion, and storytelling. But when it comes to cranking out thousands of product descriptions fast? Absolutely, yes.
4. AI in Pricing & Sales
Pricing is no longer static, and AI is fine-tuning the art of getting people to spend the right amount at the right time.
Dynamic Pricing: Prices That Change in Real Time
Being competitive in the eCommerce space is a tough task when done manually. There is too much data to track, analyze, and transform into insights. AI can do all of this much faster. For example, it can adjust prices based on demand, competition, and even browsing habits.
Taxi apps have excelled at this. When demand spikes (say, during a rainstorm), the systems raise fares and balance available drivers with passengers. Airlines have mastered this, too. Flight prices can change up to 10 times a day based on demand predictions. If too many people are searching for flights to Miami next weekend, prices will rise before your very eyes.
But there is an ethical dilemma to keep in mind: When does “smart pricing” become price discrimination? Some companies have already tested location-based pricing, sparking debates about fairness.
Upselling & Cross-Selling
The easiest way to imagine this is Spotify creating AI-generated playlists based on your taste. It's the same thing that Amazon’s product bundles do. Instead of music, they’re getting people to buy more items.
Traditional Frequently Bought Together sections come from retailer logic (if someone buys a phone, they’ll need a charger). But AI use cases in eCommerce take it a step further. The algorithms analyze real purchase behavior outside the box. Such as they can learn that people who buy noise-canceling headphones might also buy sleep masks. It's something a retailer might not have predicted.
5. AI in Supply Chain & Logistics
From predicting delays to warehouses that barely need human workers, AI supports logistics in many ways.
Route Optimization: Delivering Faster, Cheaper, and Greener
Every second counts in delivery and AI tools make sure packages take the fastest, most fuel-efficient routes possible. Unsurprisingly, it's the biggest logistics giants who have made these ideas a reality.
Thus, FedEx’s logistics system analyzes weather patterns, traffic conditions, and package volume to predict delays. Its drivers can reroute in real time for fewer late deliveries and lower costs.
Amazon is even experimenting with AI-powered drone deliveries. Instead of waiting for a truck to drop off the package, a drone could fly straight to a house in 30 minutes. No traffic and no emissions.
Automated Warehouses: Robots Picking Your Orders
A warehouse with no human workers is closer than the future. AI-powered robots are already gliding around, picking and packing orders in minutes. In Ocado’s fulfillment centers, robotic arms can pick up a 50-item grocery order in 5 minutes. That’s faster than most people can even make a shopping list.
One of the newest AI use cases in eCommerce is dark stores. These are warehouses designed only for online orders. Dark stores are AI-run fulfillment hubs that process thousands of orders at lightning speed. Companies like Walmart and Target are investing in these micro-fulfillment centers to compete with Amazon’s ultra-fast deliveries.
6. AI Technology in Fraud Prevention & Security
Online fraud is a multi-billion-dollar problem. Scammers are getting smarter, but luckily, AI systems are staying one step ahead, spotting fraud before it happens. They can do such things as catch fake reviews or block stolen credit card transactions.
Fraud Detection: Smarter Than Scammers
A prominent example is Shopify’s fraud detection system, which analyzes thousands of transactions per second. It flags suspicious activity before a chargeback takes place. Then, it looks at purchase history, location, device data, and spending patterns to detect fraud. If something seems off, the transaction gets blocked or flagged for review.
Fighting fake reviews is another way to go. Amazon’s AI system scans reviews for patterns of deception, spotting fake feedback by analyzing unusual posting behavior, suspicious keywords, and even relationships between reviewers.
7. AI Systems in Sustainability
Billions of packages, mountains of plastic, and endless delivery trucks are not doing our planet any good. AI has already started changing that. It helps retailers reduce waste, cut emissions, and make online shopping less of a climate culprit.
Packaging & Waste Reduction
Oversized boxes have long been a common issue. Amazon has attempted to fix it with its Frustration-Free Packaging. The system analyzes product dimensions and shipping requirements to determine the perfect box size. This means less wasted cardboard, plastic, and air-filled packaging.
As a result, Amazon has eliminated over 2 million tons of packaging materials after implementing AI. That’s like saving the weight of 5,000 fully loaded Boeing 747s in waste!
Resale & Circular Economy
The future of fashion is secondhand, AI-driven, and circular. Luxury brands are catching on to this, too. Gucci and Stella McCartney use AI algorithms in resale platforms to extend the life cycle of their products.
Carbon Footprint Tracking
If brands don’t know their carbon footprint, how can they reduce it? With AI. Because it makes tracking emissions automatic, accurate, and actionable. For example, Patagonia uses algorithms to measure the environmental impact of every product—from raw material sourcing to shipping. Customers can see the carbon footprint of their purchase before they buy and make an eco-friendly decision.
Conclusion
Now it's safe to say AI makes eCommerce smarter for everyone. The only question left unanswered is: How can AI work for your business?
At Akveo, we help eCommerce brands turn AI ideas into real solutions. Do you need personalized recommendations, chatbots, or advanced fraud detection? Reach out and we’ll guide you through the tech stack you need to make it happen!
Streamlining Gifting Marketplace Operations with Retool
Afloat, a gifting marketplace, needed custom dashboards to streamline order management, delivery tracking, and reporting while integrating with Shopify and external APIs.
The solution:
We built two Retool-based dashboards:
- A Retail Partner Dashboard embedded into Shopify for managing orders and store performance.
- An Admin Dashboard for handling deliveries and partner data.
Both dashboards included real-time integration with Afloat's Backend and APIs for accurate, up-to-date data and scalability.
The result: enhanced efficiency, error-free real-time data, and scalable dashboards for high-order volumes.
Billing Automation for a SaaS Company with Low-Code
Our client needed a robust billing solution to manage hierarchical licenses, ensure compliance, and automate invoicing for streamlined operations.
The solution:
We developed a Retool-based application that supports multi-tiered licenses, automates invoicing workflows, and integrates seamlessly with CRM and accounting platforms to enhance financial data management.
The result:
- Achieved 100% adherence to licensing agreements, mitigating penalties.
- Automated invoicing and workflows reduced manual effort significantly.
- Dashboards and reports improved decision-making and operational visibility.
Retool Dashboards with HubSpot Integration
Our client needed a centralized tool to aggregate account and contact activity, improving visibility and decision-making for the sales team.
The solution
We built a Retool application integrated with HubSpot, QuickMail, and Clay.com. The app features dashboards for sorting, filtering, and detailed views of companies, contacts, and deals, along with real-time notifications and bidirectional data syncing.
The result
- MVP in 50 hours: Delivered a functional application in just 50 hours.
- Smarter decisions: Enabled data-driven insights for strategic planning.
- Streamlined operations: Reduced manual tasks with automation and real-time updates.
Lead Generation Tool to Reduce Manual Work
Our client, Afore Capital, a venture capital firm focused on pre-seed investments, aimed to automate their lead generation processes but struggled with existing out-of-the-box solutions. To tackle this challenge, they sought assistance from our team of Akveo Retool experts.
The scope of work
The client needed a tailored solution to log and track inbound deals effectively. They required an application that could facilitate the addition, viewing, and editing of company and founder information, ensuring data integrity and preventing duplicates. Additionally, Afore Capital aimed to integrate external tools like PhantomBuster and LinkedIn to streamline data collection.
The result
By developing a custom Retool application, we streamlined the lead generation process, significantly reducing manual data entry. The application enabled employees to manage inbound deals efficiently while automated workflows for email parsing, notifications, and dynamic reporting enhanced operational efficiency. This allowed Afore Capital's team to focus more on building relationships with potential founders rather than on administrative tasks.
Retool CMS Application for EdTech Startup
Our client, CutTime, a leading fine arts education management platform, needed a scalable CMS application to improve vendor product management and user experience.
The scope of work
We developed a Retool application that allows vendors to easily upload and manage product listings, handle inventory, and set shipping options. The challenge was to integrate the app with the client’s system, enabling smooth authentication and product management for program directors.
The result
Our solution streamlined product management, reducing manual work for vendors, and significantly improving operational efficiency.
Building Reconciliation Tool for e-commerce company
Our client was in need of streamlining and simplifying its monthly accounting reconciliation process – preferably automatically. But with a lack of time and low budget for a custom build, development of a comprehensive software wasn’t in the picture. After going through the case and customer’s needs, we decided to implement Retool. And that was the right choice.
The scope of work
Our team developed a custom reconciliation tool designed specifically for the needs of high-volume transaction environments. It automated the processes and provided a comprehensive dashboard for monitoring discrepancies and anomalies in real-time.
The implementation of Retool significantly reduced manual effort, as well as fostered a more efficient and time-saving reconciliation process.
Creating Retool Mobile App for a Wine Seller
A leading spirits and wine seller in Europe required the development of an internal mobile app for private client managers and administrators. The project was supposed to be done in 1,5 months. Considering urgency and the scope of work, our developers decided to use Retool for swift and effective development.
The scope of work
Our developers built a mobile application tailored to the needs of the company's sales force: with a comprehensive overview of client interactions, facilitated order processing, and enabled access to sales history and performance metrics. It was user-friendly, with real-time updates, seamlessly integrated with existing customer databases.
The result? Increase in productivity of the sales team and improved decision-making process. But most importantly, positive feedback from the customers themselves.
Developing PoC with Low Code for a Tour Operator
To efficiently gather, centralize, and manage data is a challenge for any tour operator. Our client was not an exception. The company was seeking to get an internal software that will source information from third-party APIs and automate the travel itinerary creation process. Preferably, cost- and user-friendly tool.
The scope of work
Our experts ensured the client that all the requirements could be covered by Retool. And just in 40 hours a new software was launched. The tool had a flexible and easy-to-use interface with user authentication and an access management system panel – all the company needed. At the end, Retool was considered the main tool to replace the existing system.
Testing New Generation of Lead Management Tool with Retool
Our client, a venture fund, had challenges with managing lead generation and client acquisition. As the company grew, it aimed to attract more clients and scale faster, as well as automate the processes to save time, improve efficiency and minimize human error. The idea was to craft an internal lead generation tool that will cover all the needs. We’ve agreed that Retool will be a perfect tool for this.
The scope of work
The project initially began as a proof of concept, but soon enough, with each new feature delivered, the company experienced increased engagement and value.
We developed a web tool that integrates seamlessly with Phantombuster for data extraction and LinkedIn for social outreach. Now, the company has a platform that elevates the efficiency of their lead generation activities and provides deep insights into potential client bases.
Building an Advanced Admin Portal for Streamlined Operations
Confronted with the need for more sophisticated internal tools, an owner of IP Licensing marketplace turned to Retool to utilize its administrative functions. The primary goal was to construct an advanced admin portal that could support complex, multi-layered processes efficiently.
The scope of work
Our client needed help with updating filters and tables for its internal platform. In just 30 hours we've been able to update and create about 6 pages. Following features were introduced: add complex filtering and search, delete records, styling application with custom CSS.
Together, we have increased performance on most heavy pages and fixed circular dependency issues.
Creating MVP Dashboard for Google Cloud Users
Facing the challenge of unoptimized cloud resource management, a technology firm working with Google Cloud users was looking for a solution to make its operations more efficient. The main idea of the project was to create an MVP for e-commerce shops to test some client hypotheses. Traditional cloud management tools fell short.
The scope of work
Determined to break through limitations, our team of developers turned Retool. We decided to craft an MVP Dashboard specifically for Google Cloud users. This wasn't just about bringing data into view; but about reshaping how teams interact with their cloud environment.
We designed a dashboard that turned complex cloud data into a clear, strategic asset thanks to comprehensive analytics, tailored metrics, and an intuitive interface, that Retool provides. As the results, an increase in operational efficiency, significant improvement in cost management and resource optimization.
Elevating CRM with Custom HubSpot Sales Dashboard
Our other client, a SaaS startup, that offers collaborative tools for design and engineering teams, was on a quest to supercharge their sales efforts. Traditional CRM systems were limited and not customizable enough. The company sought a solution that could tailor HubSpot to their workflow and analytics needs.
The scope of work
Charged with the task of going beyond standard CRM functions, our team turned to Retool. We wanted to redefine how sales teams interact with their CRM.
By integrating advanced analytics, custom metrics, and a user-friendly interface, our developers provided a solution that transformed data into a strategic asset.
In 40 hours, three informative dashboards were developed, containing the most sensitive data related to sales activities. These dashboards enable our customer to analyze sales and lead generation performance from a different perspective and establish the appropriate KPIs.
Building a PDF Editor with Low-Code
Our client, a leading digital credential IT startup, needed a lot of internal processes to be optimized. But the experience with low-code tools wasn’t sufficient. That’s why the company decided to hire professionals. And our team of developers joined the project.
The scope of work
The client has a program that designs and prints custom badges for customers. The badges need to be “mail-merged” with a person’s info and turned into a PDF to print. But what is the best way to do it?
Our developers decided to use Retool as a core tool. Using custom components and JavaScript, we developed a program that reduced employees' time for designing, putting the data, verifying, and printing PDF badges in one application.
As a result, the new approach significantly reduces the time required by the internal team to organize all the necessary staff for the conference, including badge creation.
