Provide a truly tailored customer personalization and resolve any warehouse-related pain you’ve had before. Devox will develop custom AI tools for e-commerce that will help your business take your customer down the sales funnel regardless of your target audience and goods type.

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Services We Provide

AI Solutions for eCommerce Services We Provide

AI and eCommerce have a lot of ways to go hand-in-hand. Modern technologies allow crafting a number of solutions that impact different stages of retail process. See what Devox can produce for you.

  • Recommendation Engines and Personalized Shopping Experiences

    Get a better analysis of customer data with custom-made AI tools to offer personalized product recommendations and tailor the shopping experience to individual preferences, analyzing their purchase history and browsing data. lncrease customer satisfaction and loyalty, boosting conversion rates on the way.

  • Chatbots and Virtual Assistant

    Provide instant responses to queries, reduce wait times, and free up human agents for more complex issues. The AI chatbots for e-commerce use natural language processing to understand and respond to customer inquiries 24/7. They can be customized even further by offering shopping assistance and supporting sales.

  • Inventory Management

    We’re developing systems that predict product demand more accurately, track inventory levels and automate reordering processes. Reduce overstock and stockouts, optimizing storage costs and ensuring product availability.

  • Visual Search

    Allow your customers to search for products using images instead of text, employing computer vision technology to analyze and match photos with products. Offer an intuitive search method that can improve product discovery, customer retention, and boost the sales funnel.

  • Voice Search

    Enable your eCommerce platforms to understand and process spoken queries, making it easier for users to find products just the way they’d command their voice-activated assistant. Receive a more accessible and user-friendly search option, catering to the growing use of voice-activated devices that employ NLP capabilities.

  • Dynamic Pricing

    Developing tools that analyze market demand, competitor prices, customer behavior, and inventory levels. Receive a system that adjusts product prices in real-time, maximizing profitability and competitiveness, and ensure your pricing strategy adapts to market conditions and consumer trends.

  • AI-Powered Marketing

    From personalized email marketing campaigns to targeted ads, AI helps in crafting marketing strategies that resonate with individual customers, based on their behavior and preferences. Adapt to your target audiences with the dynamic dictated by the market, not your previous capacities.

  • Customer Behavior Analytics

    Identify trends, predict future buying behavior, and achieve insights into customer preferences: AI can enable more strategic business decisions thanks to analyzing purchases and browsing habits to eventually let you provide more tailored service.

  • Returns and Refunds Optimization

    Streamline the returns and refund process using AI to predict return probabilities, automate return approvals, and manage logistics efficiently. Make the return process smoother and more efficient while also reducing associated costs.

Development Process

Our AI Solutions for eCommerce Development Process

AI solutions for eCommerce are developed similarly to classic IT software. Starting with detailed consulting and ending with diligent support and maintenance, Devox will help you fulfill your mission through the means of technology.


01. Needs Analysis and Goal Setting

First, we listen to you challenges and requests, figuring out the opportunities within your eCommerce niche where AI can have an impact. Having decided on what the software will look like, we set clear objectives for its functionality, determine user roles, and settle organizational moments like team size, KPIs, deliverables, sprints and deadlines.


02. Data Collection and Preparation

Our engineering team gathers relevant data that will be used to train the AI models. This data can include customer behavior info, sales transactions, product information, and more. The team cleans and preprocesses the data to ensure its quality and usability for model training, including handling missing values, normalizing data, and feature selection.


03. Choosing the Right AI Technologies and Tools

Based on the goals and the nature of the data, we select the appropriate AI technologies and tools, such as machine learning, natural language processing, computer vision, and so on. In this, we are navigated by the choice of proper programming languages and frameworks, as well as your system requirements. We then decide on the development tools and platforms, considering factors like scalability, security, and integration capabilities with existing eCommerce systems.


04. Model Development and Training

We develop AI models using the selected technologies. This involves choosing algorithms, setting up neural networks for deep learning tasks, or configuring NLP models for chatbots. We then train the models on the prepared data, adjusting parameters and techniques to improve accuracy and performance.


05. Testing and Evaluation

We conduct thorough testing to identify any issues or areas for improvement. This includes functional testing of AI features, and performance evaluation against the set objectives, user acceptance (UAT) testing to assess the UI/UX and user path, and other possible types of testing.


06. Integration and Deployment

In case of AI enhancement, the development team integrates the AI models into your existing eCommerce platform, ensuring seamless interaction with existing systems and databases. We deploy the AI solution in a controlled environment to monitor its performance and impact on eCommerce operations.


07. Optimization and Scaling

Based on feedback and performance data, make necessary adjustments to the AI models and features to enhance their effectiveness. We gather feedback from end-users and stakeholders to assess the solution's effectiveness and usability. We then scale the solution as needed to handle increased data volumes or to extend AI capabilities to other areas of the eCommerce business.


08. Ongoing Monitoring and Maintenance

We continuously monitor the AI solution for performance and accuracy, ensuring it functions without bags and adapts to new data and evolving business needs. Our initial team provides regular updates, scaling the system at your demand or enriching it with new data when it’s relevant.

  • 01. Needs Analysis and Goal Setting

  • 02. Data Collection and Preparation

  • 03. Choosing the Right AI Technologies and Tools

  • 04. Model Development and Training

  • 05. Testing and Evaluation

  • 06. Integration and Deployment

  • 07. Optimization and Scaling

  • 08. Ongoing Monitoring and Maintenance


Benefits of AI Solutions for eCommerce

Benefits of AI in eCommerce are truly numerous: embracing this technology will improve each involved party’s satisfaction, be it your employee, your client, or even your software.

  • Personalize Flexibly

    Spoil your customer in the right way and get rewarded for it. Reduce abandoned carts rate with intuitive UX and more payment options, help them manage returns easier, and spot the reasons that make it more difficult with AI’s capacities.

  • Customer Insights and Analytics

    Know anything you need to about your client: achieve deep insights into customer behavior, preferences, and trends. You won’t just get useful analytics but refine your offerings and strategies for better market fit and customer satisfaction.

  • Scale and Enhance Customer Service

    As businesses grow, providing consistent and high-quality customer service becomes more challenging. Customer support AI chatbot development service for e-commerce can help: they handle a large volume of inquiries simultaneously, working around-the-clock, providing instant responses, operating alongside human agents and even being their loyal right hand.

  • Efficient Inventory Management and Supply Chain

    Fulfill your warehouse like Tetris, making sure no space is left unused and there’s no overstock too. You will positively impact the delivery times as well: predictive analytics as an AI capacity will forecast demand and optimize inventory levels, ensuring product availability at the right time and quantity.

  • Enhanced Marketing Efficiency

    If traditional marketing approaches do not yield the desired ROI for you, eCommerce AI tools will help. They can optimize campaigns in real time based on customer data, improving engagement and increasing conversions. These tools segment audiences more accurately, predict customer behavior, and optimize marketing campaigns for better return on investment.

Key Features

Key Features of AI Solutions for eCommerce


Machine Learning Algorithms

At the heart of AI eCommerce solutions are machine learning algorithms, which learn from data to make predictions or decisions without being explicitly programmed for the task. These algorithms are crucial for personalization, recommendation systems, predictive analytics, and demand forecasting.


Natural Language Processing (NLP)

NLP enables machines to understand, interpret, and generate human language. In eCommerce, NLP is used for chatbots and virtual assistants, customer sentiment analysis, and voice search capabilities, allowing for more natural and intuitive interactions between customers and the platform.


Data Analytics and Big Data Technologies

AI systems rely heavily on big data technologies to process and analyze large volumes of structured and unstructured data. This analysis is foundational for generating insights into customer behavior, market trends, and operational efficiency.


Computer Vision

This technology enables machines to interpret and understand the visual world. In eCommerce, computer vision powers visual search features, allowing customers to search for products using images. It is also used in inventory management and quality control processes.


Deep Learning

A subset of machine learning, deep learning uses neural networks with many layers (deep networks) to analyze patterns in data. It's particularly useful for image and voice recognition tasks, as well as for enhancing the accuracy of recommendations and predictions.


Predictive Analytics Models

These models use historical data to predict future outcomes. In eCommerce, predictive analytics can forecast customer behavior, product demand, and even potential fraud, enabling proactive decision-making.


Chatbot Development Frameworks

To build and deploy effective chatbots, AI eCommerce solutions utilize various development frameworks and platforms that support NLP and machine learning, facilitating seamless customer service and engagement.


Cloud Computing and Storage

AI systems require significant computational power and storage capacity, often provided by cloud services. Cloud computing enables scalable, flexible, and efficient data storage and processing capabilities, crucial for handling the vast amounts of data generated by eCommerce platforms.


APIs and Integration Tools

To seamlessly integrate AI functionalities into existing eCommerce ecosystems, APIs and integration tools are essential. They enable the connection of AI components with other systems, such as CRM, ERP, and CMS, enhancing data flow and operational efficiency.


Security and Compliance Mechanisms

Given the sensitivity of customer data and the potential risks of data breaches, Devox incorporates advanced security measures into AI-based eCommerce software, including encryption, access controls, and compliance with data protection regulations.

Case Studies

Our Latest Works

View All Case Studies
Social Media Screening Platform Social Media Screening Platform
  • Backend
  • Frontend
  • Cloud Services
  • DevOps & Infrastructure

Social Media Screening Platform

The project is a web-based AI-powered platform for comprehensive social media background screening. Its supertask is to streamline potential employee background checks for companies, tackling employment risk management.

Additional Info

Core Tech:
  • .NET Core
  • Angular
  • Azure
  • Docker
  • GitLab CI/CD
  • Selenium Web Driver


Function4 Function4
  • website
  • management platform

Professional Event Ecosystem

Starting as a ticket selling website, Function4 grew to an all-in-one event management platform thanks to Devox’s help. It provides an ecosystem and data for comprehensive device setup, invitation and communication.

Additional Info

Core Tech:
  • Vue js
  • GSAP
  • Ruby
  • Azure


  • website
  • manufacturer

Kitchen Appliance Manufacturer

ILVE is a home appliance manufacturer operating since 1975 with a traditions-oriented brand. Devox helped ILVE provide more comprehensive user experience on their website and present their goods from a deeper perspective.

Additional Info

Core Tech:
  • Wordpress
  • Woocommerce
  • Javascript
  • PHP

United Kingdom United Kingdom

and over 200 our featured partners and clients

Awards & Certifications

Industry Contribution Awards & Certifications

Check Devox Software Awards on rating & review platforms among top software development companies and Certifications our team members holds.

  • Awards
  • Certifications
  • UpWork


  • Clutch


  • The Manifest

    The Manifest

  • DesignRush



  • Clutch


  • Clutch


  • AppFutura


  • Clutch


  • GoodFirms


  • DesignRush


  • UpWork


  • Professional Scrum Master™ II (PSM II)

    Professional Scrum Master™ II (PSM II)

  • Professional Scrum Product Owner™ I (PSPO I)

    Professional Scrum Product Owner™ I (PSPO I)

  • ITIL v.3 Foundation Certificate in IT Service Management

    ITIL v.3 Foundation Certificate in IT Service Management

  • ITSMS Auditor/Lead Auditor of ISO Standard 20000

    ITSMS Auditor/Lead Auditor of ISO Standard 20000

  • Microsoft Certified: DevOps Engineer Expert

    Microsoft Certified: DevOps Engineer Expert

  • Microsoft Certified: Azure Administrator Associate

    Microsoft Certified: Azure Administrator Associate

  • Quality Assurance ISTQB Foundation Level

    Quality Assurance ISTQB Foundation Level

  • Microsoft Certified Solution Develop (MCSD)

    Microsoft Certified Solution Develop (MCSD)

  • Java Development Certified Professional

    Java Development Certified Professional

  • JavaScript Developer Certificate – W3Schools

    JavaScript Developer Certificate – W3Schools

  • Certified Artificial Intelligence Scientist (CAIS)

    Certified Artificial Intelligence Scientist (CAIS)

  • Oracle Database SQL Certified Associate

    Oracle Database SQL Certified Associate




The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Carl-Fredrik Linné
Tech Lead at CURE Media
Darrin Lipscomb
United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Darrin Lipscomb
CEO, Founder at Ferretly
Daniel Bertuccio

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Daniel Bertuccio
Marketing Manager at Eurolinx

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Trent Allan
CTO, Co-founder at Active Place
United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Andy Morrey
Managing Director at Magma Trading
Vadim Ivanenko

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Vadim Ivanenko
United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

Jason Leffakis
Founder, CEO at Function4

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

John Boman
Product Manager at Lexplore
Tomas Pataky

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Tamas Pataky
Head of Product at Stromcore
Stan Sadokov

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Stan Sadokov
Product Lead at Multilogin
United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

Mark Lamb
Technical Director at M3 Network Limited


  • Why e-commerce businesses should consider artificial intelligence?

    E-commerce businesses should consider artificial intelligence because of its capability to transform customer experiences through personalized recommendations and 24/7 customer service via chatbots. How is ai changing eCommerce?

    AI’s predictive analytics enhance inventory management and fraud detection, significantly reducing operational costs and financial risks. Moreover, AI-driven insights inform strategic decisions, optimizing marketing efforts for better engagement and higher ROI.

    By adopting AI, e-commerce platforms can gain a competitive edge, ensuring scalability and growth in a rapidly evolving market. Ultimately, integrating AI leads to increased sales, customer loyalty, and a stronger market position.

  • How can AI improve customer personalization in my online store?

    AI enhances customer personalization by analyzing individual browsing patterns, purchase history, and interactions on your site. It utilizes this data to provide tailored product recommendations, personalized email marketing, and customized content that resonates with each customer. For instance, if a customer frequently purchases eco-friendly products, AI can highlight new eco-friendly items or suggest similar products, significantly improving their shopping experience and increasing the likelihood of repeat purchases.

  • Can AI help reduce shopping cart abandonment rates?

    Yes, using AI in eCommerce can significantly reduce shopping cart abandonment rates by identifying the key factors that lead to abandonment and offering timely interventions. For example, AI can analyze checkout process data to identify where customers are dropping off and suggest simplifications or improvements. Additionally, AI can trigger targeted discount offers or reminders to customers who have left items in their carts, encouraging them to complete their purchases.

  • How is machine learning used in e-commerce?

    Retailers leverage machine learning algorithms to collect, analyze, and utilize data for providing a customized shopping experience, optimizing prices, and creating customer insights. Similarly, eCommerce companies apply machine learning for supply and demand management, churn prediction, fraud detection, and to enhance chatbots and dynamic pricing strategies. Additionally, it enables the setup of automations to simplify operations.

  • Can AI improve the effectiveness of eCommerce marketing campaigns?

    Absolutely, AI improves the effectiveness of marketing campaigns by enabling hyper-personalization and targeting. It analyzes customer data to segment audiences more precisely and predict which marketing messages or offers are most likely to resonate with each segment. AI can also optimize email send times, choose the best platforms for ads, and continually refine strategies based on campaign performance data, ensuring higher engagement and conversion rates.

  • What role does AI play in optimizing eCommerce site search functionality?

    AI for eCommerce plays a critical role in optimizing site search functionality by using natural language processing to understand and process customer queries more effectively. It can handle complex, conversational queries, and provide accurate, relevant search results. For example, AI can understand a search for “blue men’s running shoes size 10” and deliver precisely matched product listings, enhancing the shopping experience and leading to higher conversion rates.

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