A practical comparison of 15 AI software development companies for retail, with a focus on retail expertise, AI capabilities, relevant projects, and the types of solutions each company is best equipped to deliver.
Retail AI has moved well beyond chatbots and basic product recommendations. Retailers now use machine learning across pricing, merchandising, demand forecasting, inventory planning, search, fraud detection, and customer analytics. Recent Forbes coverage of retail AI transformation also points to growing use of AI in personalization, pricing, promotions, fraud detection, and store operations.
That wider scope has changed what companies need from a technology partner. A strong retail AI software development team must understand the operational systems behind the storefront, including product data, inventory, payments, analytics, and existing commerce infrastructure.
This list reviews 15 retail software development companies with relevant experience in custom engineering, artificial intelligence, eCommerce, data platforms, or retail operations. The companies differ considerably in size and specialization, so the comparison focuses on what each one is actually equipped to build.
Key Takeaways
- The article compares 15 AI software development companies specializing in retail, focusing on their expertise, AI capabilities, and notable projects.
- Retail AI now extends beyond chatbots, incorporating machine learning for pricing, demand forecasting, and customer analytics.
- Each company on the list has unique strengths, whether in eCommerce, operational automation, or analytics, influencing the choice for retailers.
- Companies like Computools and Droids On Roids have proven success in building AI-enabled retail solutions, enhancing customer experiences and operational efficiency.
- Selecting the right partner requires analyzing past projects, integration experience, and delivery models to ensure business goals align.
Table of contents
1. Computools

250+ technology professionals | 400+ completed projects | ISO 9001 & ISO 27001 | Microsoft & AWS Partner | US
Computools builds retail software that combines commerce workflows, analytics, UX, and AI, with experience across personalization, merchandising, POS systems, eCommerce platforms, and operational tools. The company has worked with organizations such as Visa, Epson, IBM, Dior, Bombardier, and the British Council.
Its broader work spans retail, financial services, logistics, healthcare, manufacturing, travel and hospitality, and other industries, giving its teams experience with complex integrations, regulated environments, and data-heavy products.
For Persentra AI, Computools worked on a retail personalization platform that gives merchandising teams control over recommendations, product discovery, business rules, and performance analytics. The published results include a 25% increase in average order value, an 18% increase in conversion, 50% faster merchandising rule updates, and 40% fewer engineering requests.
Projects are delivered through iterative development, stakeholder validation, and measurable checkpoints, with product strategy, UX, AI automation, and analytics treated as part of the same delivery scope. This gives retailers a clearer path from initial validation to launch while keeping development tied to commercial KPIs.
2. 3 SIDED CUBE

50–249 employees | Founded 2009 | 4.9 Clutch rating | UK
3 SIDED CUBE develops mobile apps, web platforms, custom software, and AI workflows, with a strong focus on consumer-facing digital products. Its retail experience includes Bother, an eCommerce app that used machine learning to automate repeat purchases based on shopping patterns, and Lush, where image-recognition technology helped customers identify package-free products and access product information in-store.
The company combines product strategy, UX/UI, software engineering, and AI development, including machine learning, recommendation systems, computer vision, and NLP. Its portfolio makes it particularly relevant for retailers looking to build AI-enabled shopping experiences, mobile commerce products, or customer-facing tools rather than large back-office retail platforms.
3. MetaProject

50–249 employees | Founded 2018 | 5.0 Clutch rating | US
MetaProject develops custom software, mobile products, data platforms, and AI-enabled applications. Its public portfolio includes FedFox, a grocery and food delivery platform covering an eCommerce app, product catalog, cart, cashback, payment gateways, delivery tracking, warehouse operations, and CRM/ERP tools.
The company also provides generative AI and LLM development, including AI workflows, product integrations, evaluation frameworks, monitoring, and data engineering. Its delivery model emphasizes senior engineering teams, architecture planning, and knowledge transfer to internal product teams. Its combination of eCommerce engineering, AI, and data capabilities makes MetaProject relevant for retailers building custom digital commerce and operational platforms.
4. Droids On Roids

50–249 employees | Founded 2011 | 4.9 Clutch rating | Poland
Droids On Roids develops mobile and web products across strategy, UX, engineering, launch, and post-launch growth, with 130+ products delivered. Its retail portfolio includes CCC Shoes & Bags, Hoppy by Carlsberg, Złote Wyprzedaże, and other eCommerce products.
For CCC, the company developed native iOS and Android commerce apps connected with the retailer’s existing systems, loyalty program, store pickup, personalized promotions, geolocation, a virtual fitting room, and photo-based shoe search. The published results include a 280% increase in mobile-channel sales, 120% growth in active users, and 250% growth in unique downloads across eight markets within two years.
Its AI experience includes production integrations such as TensorFlow Lite and on-device model processing. This combination makes Droids On Roids particularly relevant for mobile commerce, loyalty, product discovery, and customer-facing retail applications with AI functionality.
5. Codup

50–249 employees | Founded 2012 | 4.9 Clutch rating | US
Codup develops custom commerce platforms, B2B portals, integrations, and operational systems for retailers, manufacturers, and distributors. Its portfolio includes projects for Steelcase, Harrods, The Healthy Place, and other commerce businesses, covering Shopify, WooCommerce, BigCommerce, POS integration, subscriptions, loyalty programs, and personalized shopping experiences.
The company also builds AI solutions using technologies such as OpenAI GPT, LangChain, and Pinecone. One published project involved an AI-powered compliance assistant for an eCommerce business, designed to retrieve regulatory information faster and reduce manual workload. Codup’s mix of commerce engineering, systems integration, and AI makes it relevant for retailers modernizing customer-facing stores and the operational infrastructure behind them.
6. Six Feet Up

10–49 employees | Founded 1999 | 5.0 Clutch rating | US
Six Feet Up specializes in Python development, AI/ML, big data, and cloud-based applications. Its AI capabilities include predictive analytics, anomaly detection, classification, virtual assistants, and generative AI, as well as application and data engineering.
Its retail-related work includes optimizing a wholesale management platform used by more than 10,000 retailer clients. Six Feet Up improved some platform response times from four seconds to under one second and delivered a feature originally estimated at two months in less than one week. The team also supported payment integration, frontend and backend optimization, UX improvements, and production releases.
7. Leobit

50–249 employees | Founded 2014 | 5.0 Clutch rating | Ukraine
Leobit is a full-cycle software development company specializing in .NET, web platforms, data engineering, and AI. Its eCommerce experience includes a U.S.-based global commerce platform for which the team developed web and mobile products, as well as BI, sales forecasting, and analytics capabilities.
AI accounts for a substantial part of Leobit’s current service mix, including AI development, generative AI, and AI agents. Its technical expertise covers machine learning, recommendation systems, computer vision, NLP, RAG pipelines, and human-in-the-loop AI workflows, giving the company a solid base for retail products that combine commerce data, analytics, and AI functionality.
8. Bluelight

250–999 employees | Founded 2019 | 5.0 Clutch rating | US
Bluelight provides custom software development, mobile and web engineering, cloud services, and AI solutions for mid-market and enterprise clients. Retail accounts for 10% of its industry focus on Clutch, while its AI practice includes machine learning, recommendation systems, conversational AI, and computer vision.
For eCommerce, the company works with AI-powered product recommendations, personalized shopping experiences, and inventory automation. Its broader retail-related capabilities cover commerce applications, mobile commerce, inventory systems, POS solutions, and real-time analytics.
Bluelight reports 1,250+ completed projects and a 96% client retention rate, with AWS, Salesforce, GoDaddy, MGM Resorts, Tyler Technologies, and Uber listed on its Clutch profile. Its mix of AI engineering, cloud infrastructure, and custom application development makes it relevant for retailers building data-intensive commerce and customer-facing products.
9. Goji Labs

50–249 employees | Founded 2014 | 5.0 Clutch rating | US
Goji Labs is a product development agency working across strategy, UX, web and mobile development, and AI. The company reports having launched 500+ products and works across more than 20 industries, including eCommerce and retail.
Its retail portfolio includes Katzkin, where Goji Labs redesigned the D2C shopping and quoting experience around real-time customization, transparent pricing, financing, scheduling, and checkout. The work moved from a two-week MVP sprint to an eight-week MLP rollout, reducing manual sales operations and creating a more self-service purchase flow.
Goji Labs also has 5+ years of AI experience, with a focus on moving AI products from prototype to production through validation, user testing, and measurable business outcomes.
10. Itransition

1,000–9,999 employees | Founded 1998 | 4.9 Clutch rating | US
Itransition is a global software development and IT consulting company with 3,000+ engineers, covering AI, data and BI, eCommerce, custom software, and enterprise platforms. Retail is one of its established industry areas, with projects spanning digital commerce, personalization, inventory management, and analytics.
For a fashion retailer with 20M+ registered customers and 200,000+ daily website and app users, Itransition developed an AI-powered BI platform for predictive customer analytics and personalization. The system incorporated machine learning and computer vision, helping increase visitor-to-buyer conversion by 8%, expand the volume of collected customer data by 15%, and reduce monthly infrastructure costs by 50%.
Its combination of enterprise engineering, eCommerce, AI, and data infrastructure is particularly relevant for large retailers working with high-volume customer and operational data.
11. KITRUM

250–999 employees | Founded 2016 | 5.0 Clutch rating | US
KITRUM develops and modernizes software products across retail, eCommerce, fintech, healthcare, logistics, and other industries. The company reports 200+ delivered projects and works with live, business-critical platforms, including product rewrites, migrations, architecture modernization, and AI-enabled systems.
Its retail work includes an eCommerce marketplace for Twisted Throttle, designed for around 150,000 daily visitors and 2,000 products. KITRUM built the Magento and React solution and integrated it with POS, ERP, and CRM systems. The company also has a directly relevant AI case in eCommerce: a machine-learning fraud detection system used by 80,000+ merchants, with published results showing a 24% reduction in operating costs and 36% higher customer satisfaction.
12. Brain Station 23

250–999 employees | Founded 2006 | 4.9 Clutch rating | US
Brain Station 23 develops custom software, eCommerce platforms, AI/ML solutions, data systems, and mobile applications across retail, fintech, healthcare, telecom, and other industries. Its retail services cover commerce platforms, ERP integrations, analytics, AI-powered chatbots, and customer-facing applications.
For Shwapno, Bangladesh’s largest supermarket chain, the company rebuilt a web and mobile eCommerce platform serving more than 1 million customers. The solution combined hyperlocal inventory, SAP S/4HANA integration, analytics, voice search, and AI-driven personalized product recommendations and promotions. Within four months, the platform surpassed 100,000 app downloads and recorded a 39% increase in user rating.
13. Warp Development

50–249 employees | Founded 2002 | 4.9 Clutch rating | South Africa
Warp Development builds custom software, eCommerce platforms, and AI-enabled systems across retail, finance, healthcare, logistics, and other industries. Its retail portfolio includes Tafelberg Furnishers, Waltons, Hyperli, Ferremundo, Gembridge, and Office National, covering online stores, marketplaces, inventory and logistics integrations, and customer-facing applications.
For Hyperli, the company delivered a scalable eCommerce marketplace in six weeks, supporting sales, inventory, marketing reporting, integrations, and deal redemption. Another project for Gembridge included a bulk product importer capable of processing 10,000 listings at once. Warp’s AI practice covers recommendation systems, machine learning, NLP, AI agents, forecasting, and intelligent automation, providing retailers with relevant capabilities to combine commerce platforms with AI-driven workflows and customer experiences.
14. PowerGate Software

250–999 employees | Founded 2011 | 5.0 Clutch rating | Vietnam
PowerGate Software develops eCommerce platforms, marketplaces, mobile commerce products, and AI-enabled software. Its retail portfolio includes fashion stores, wholesale platforms, cashback products, marketplaces, and an AR footwear try-on application.
A recent verified Clutch project involved building an end-to-end eCommerce platform for selling large volumes of unsold inventory. PowerGate handled product design and development, AI functionality, chat features, and payment integration, delivering the working platform to specification and on schedule.
The company also works with AI agents, machine learning, data engineering, recommendation technology, and commerce engineering. Its combination of retail delivery and AI makes it relevant for marketplaces, customer-facing commerce products, and retail platforms that need intelligent features integrated into core workflows.
15. Orases

50–249 employees | Founded 2000 | 5.0 Clutch rating | US
Orases develops custom software and AI solutions across retail, fintech, healthcare, manufacturing, and other industries. Its retail work covers eCommerce, inventory and order management, customer-facing applications, analytics, and system integrations. The company reports 950 clients and a 96% client retention rate.
For Fencing Direct, Orases built an eCommerce platform supporting 10,000+ SKUs, custom pricing, fulfillment integrations, automated quoting, and online payments.
Orases also applies AI to retail and shopper marketing through personalization, targeted advertising, and predictive analytics. Its shopper marketing team reported reaching 130 million consumers in the year before expanding its use of AI, with brands including Publix, Huggies, and Kleenex among its clients.
Conclusion
The strongest retail AI software development companies stand out through relevant retail delivery, practical AI expertise, and evidence that their products perform in real operating environments. The right partner depends on the scope: some are stronger in enterprise data and analytics, others in eCommerce, mobile commerce, personalization, or operational automation.
Before choosing a vendor, retailers should look closely at comparable projects, integration experience, delivery model, and the business metrics used to measure success. A capable team should be able to move from validation to launch without losing sight of adoption, performance, and commercial impact.
Which company on this list best matches the type of retail AI product your business is planning to build?











