AI product recommendation engine
"Frequently bought together", "complete the look" and personalised home pages trained on your own orders and browsing.
Custom AI · E-commerce
Custom AI Development for Ecommerce & Retail
Recommendation engines, visual search, AI shopping apps and AI features inside your store platform, designed around your catalogue and your customers, and owned by you.
Overview
Custom AI development for ecommerce that fits your catalogue
Plug-in apps cover the basics. They stop helping when your catalogue, your markets or your business model don't fit their assumptions. A fashion retailer wants shoppers to upload a photo and find the closest match. A marketplace needs recommendations across thousands of sellers. A grocery chain wants an app that rebuilds last week's basket in one tap. These call for custom AI development for ecommerce: models built on your own product and behaviour data, wrapped in software your customers actually use.
We build the whole product. That includes a product recommendation engine trained on your orders and browsing, visual search for retail that matches a photo to your SKUs, semantic search that understands "black abaya for a wedding" or "gift for a ten-year-old under 5,000", and ecommerce AI apps for web and mobile. We connect them to Shopify, Magento, WooCommerce, BigCommerce or your headless stack through APIs, so they work inside the store you already run rather than beside it.
We have built retail AI software for ourselves. Commify.ai, our AI platform for SME e-commerce, generates product descriptions and product images and runs AI chatbots for Shopify and WooCommerce stores. Outside retail, Vikk AI shows how we build large multi-agent RAG systems: it serves 120,000+ users in 30+ languages and shipped as an MVP in six weeks. Medsuccour shows our computer-vision depth, with a deep-learning model that reads CT scans in seconds. Neither is a store, but the same engineering powers visual search, image tagging and multilingual shopping assistants.
Every model is tested against the numbers you care about, such as conversion, average order value and return rate, before it goes in front of all your traffic. You keep 100% of the IP, including trained models, and can host everything in your own cloud.
Use cases
Custom AI Development use cases in E-commerce
Visual search for retail
Shoppers upload or snap a photo and see the closest matching products from your catalogue.
Semantic and multilingual search
Site search that understands intent, synonyms and Arabic or Urdu queries instead of exact keywords only.
Ecommerce AI app
A mobile shopping app with an AI assistant, reorder suggestions and personalised offers.
Image tagging and attribute extraction
Computer vision reads product photos and fills colour, pattern, material and style attributes automatically.
Size and fit recommendations
Models trained on your sales and returns suggest the right size, which cuts fit-related returns.
How it works
How it works
- 01Data and goal reviewWe look at your catalogue, order history, images and traffic, and agree the metric the model must move.
- 02Model approachWe choose between foundation models, fine-tuning and custom-trained models, or a mix, based on your data.
- 03Build and offline testingModels are trained and tested on held-out orders and searches before any shopper sees them.
- 04Integration into your storeThe model is served through an API and wired into your storefront, app or admin.
- 05Live testing and monitoringA/B tests compare it against your current experience, and monitoring tracks accuracy and drift.
Capabilities
Key features
Recommendation and ranking models
Personalisation built on your customers' behaviour, not generic bestseller lists.
Computer vision for product images
Visual similarity, tagging and quality checks on catalogue photos.
LLM search and shopping assistants
Language models grounded in your catalogue, with guardrails on prices and claims.
Measured against business metrics
Evaluation on conversion, order value and returns, not just model accuracy.
Full-stack delivery
Models, backend, web and mobile apps and store integrations from one team.
100% IP ownership
You own the code, the trained models and the data pipelines.
Integrations
Works with your E-commerce stack
- Shopify
- WooCommerce
- Magento (Adobe Commerce)
- BigCommerce
- OpenAI
- Google Vertex AI
- PyTorch
- AWS
- Google Cloud
- Azure
- React / React Native
Using something else? If it has an API, a database or a webhook, we can connect to it.
Outcomes
Benefits for E-commerce teams
Shoppers find what they want faster
Better search and recommendations shorten the path from landing to checkout.
Features competitors can't install
Models trained on your data give an experience that generic apps can't copy.
Lower long-term cost
Owning the system avoids per-order or per-search fees as you grow.
Your data stays yours
Customer and sales data are used to train your models only, hosted where you choose.
Our work
Related Work
AI Chatbot2024
Vikk AI: AI-Powered Legal Assistant
Vikk AI is a 24/7 AI-powered legal assistant that gives users instant, private legal guidance, analyzes their documents, and connects them with verified lawyers when needed. We helped build a conversational platform that delivers state-specific answers across dozens of legal categories and languages.
View case study →
Custom AI Model Development2024
Medsuccour AI: Revolutionizing CT Scan Diagnosis
Medsuccour is an AI-powered project designed to revolutionize the diagnosis of traumatic brain injuries through rapid and accurate analysis of CT scans. Given that every minute counts after a head trauma, our model drastically reduces the time required to detect and localize brain injuries, generating detailed reports in seconds.
View case study →
FAQ
Custom AI Development for E-commerce: FAQs
What is an AI product recommendation engine?
It's a model that predicts which products each shopper is most likely to want, based on what they and similar customers viewed and bought. It powers widgets such as "you may also like" and personalised home pages.
Can you build visual search for our online store?
Yes. We build computer-vision models that turn product photos into searchable features, so a shopper's photo returns the closest items in your catalogue. Our Medsuccour CT-scan work shows the image-model depth behind it.
Do we have enough data for custom ecommerce AI?
It depends on the feature. Recommendations need a meaningful order history, while search and visual similarity can work from the catalogue alone using pre-trained models. We assess your data first and tell you honestly what's feasible.
Should we build custom AI or use a Shopify app?
It depends. Apps are faster and cheaper for standard needs. Custom makes sense when your catalogue, markets or languages don't fit an app, when per-order fees get expensive, or when the AI is part of how you compete.
Who owns the models and code?
You do. You keep 100% of the IP, including trained model weights, and can host it in your own cloud account.
How long does custom AI development for ecommerce take?
It depends on scope. Vikk AI reached an MVP in six weeks and Medsuccour's image model took about twelve. A single feature such as semantic search can be quicker, and we set milestones after discovery.
How much does retail AI software development cost?
It depends on the feature, the data work needed, integrations and where it is hosted. We scope it in discovery and give a fixed quote for the first phase, so book a call and bring the idea.
Explore
More AI services for E-commerce & Retail
AI Voice Agents
AI Voice Agent for Ecommerce: COD Confirmation & Order Calls
AI calls that confirm COD orders before dispatch, answer order-status and returns calls, and update your store and courier booking automatically.
Explore AI ChatbotsAI Chatbot for Ecommerce: Shopify, WhatsApp & Retail
Shopping assistants for your store, WhatsApp and Instagram that recommend products, track orders, recover carts and start returns.
Explore AI AutomationEcommerce Automation with AI: Orders, Inventory & Catalogue
Automated order processing, courier booking, inventory sync, AI product descriptions and returns workflows across your store, couriers and ERP.
Explore AI Data AnalyticsEcommerce Data Analytics & Retail Demand Forecasting
Unified dashboards, demand and sales forecasting, customer analytics and true per-order profit across your online and physical stores.
ExploreFurther reading
Custom AI Development for other industries
Build the feature your competitors can't download.
Bring the idea and a look at your data. We'll tell you what's feasible, how long it takes and how we'd measure whether it works.