Predict shopping trends, personalize experiences, and manage inventory with cutting-edge machine-learning technology
Leaders trusting our AI solutions:
10+
years helping enterprises
50+
market-ready solutions delivered
40%
of cost savings with component-based development
Custom AI algorithms and data solutions enable demand forecasting, personalization, inventory management, and security
AI-powered demand forecasting
Difficulties in predicting demand accurately lead to overstocking or stockouts
Personalization
Customers expect tailored recommendations and experiences
Inventory optimization
Operational inefficiencies lead to lost sales or high carrying costs
Retail fraud
Payment fraud and account takeovers create revenue losses
Competitive Pricing
Retailers lack tools to adjust product prices dynamically
Customer retention
Retailers lose revenue opportunities due to high churn rates
Omnichannel experiences
Teams fail to blend online and offline shopping experiences
Real-time decision-making
Lack of real-time data does not allow to capitalize on live data for product recommendations
AI-powered demand forecasting
Use sales data and external factors to predict future demand. Recommendation engines: Tailor product suggestions to customer preferences
Recommendation engines
Tailor product suggestions to customer preferences
Inventory optimization tools
Refine inventory management using demand predictions and past stock data.
Fraud prevention systems
Identify unusual transactions and prevent retail fraud
Price management
Optimize pricing with algorithms that respond to demand, competition, and stock levels
Sentiment analysis
Analyze customer sentiment to identify dissatisfied shoppers and develop retention strategies
Data integration platforms
Unite data from different sources in a single platform to get a full view of inventory and customer experience
Real-time data analysis
Monitor sales and stock levels in real-time
Natural language processing
Derive critical insight by analyzing reviews and conversations with AI for retail
Clustering techniques
Group customers by demographics, behavior, or other attributes.
Streaming analytics
Build a streaming retail analytics software to get live sales and inventory data
Conversational commerce
Build AI chatbots and assistants to enable natural language interactions for product search, order placement, and customer support
Retail automation
Optimize retail experiences with automation, in-store heatmaps, and personalized product recommendations
Custom data-driven e-commerce solutions
Build impactful online shopping experiences with custom e-commerce solutions
Integration of NFTs in digital retail
Revolutionize digital retail spaces by integrating NFTs seamlessly into your e-commerce ecosystem
Generative AI for content creation
Use large language models and generative AI to automatically produce product descriptions, marketing copy, and visual assets at scale
Real-time data specialization
Leverage our expertise in designing high-performance systems optimized for enterprise-scale retail. Process massive volumes of real-time customer interactions, transactions, and browsing data across retail environments
Extensive experience with high-load
Ensure your enterprise retail platforms operate seamlessly during high-traffic periods, such as global holiday sales, product launches, or flash promotions
Multi-cloud strategy
Architect scalable, resilient enterprise retail systems using a multi-cloud approach. Balance operational costs, maintain ultra-low latency for international operations, and provide uninterrupted service for your global customer base
Premium engineering quality
Partner with retail software developers experienced in creating enterprise-grade solutions. We ensure robust, scalable systems that align with your organizational goals and compliance needs
Speed of delivery
Accelerate time-to-market with tailored retail software development accelerators designed for enterprise use cases. Leverage reusable modules and streamlined workflows to launch high-quality solutions faster and more efficiently
Tech-agnostic
Choose the ideal tech stack for your enterprise retail ecosystem. Our engineers adapt to your requirements, ensuring the best tools and frameworks are employed to achieve scalable and sustainable solutions
Scalable AI models for Retail & eCommerce
Implement cutting-edge AI and machine learning models tailored for enterprise retail use cases
Granular AI skillset
Access deep expertise in AI for enterprise retail applications. Solutions include predictive modeling for customer behavior, conversational AI for omnichannel customer engagement, and computer vision for retail applications
We excel in designing robust digital ecosystems and refining IT operations
We empower brands to boost scalability and deliver high-performance digital services
We design and support innovative platforms for the Retail & eCommerce, including
How to start
Transform your enterprise with AI and data engineering—faster efficiency gains and cost savings in just weeks
Challenge briefing
Tech assessment
Discovery phase
Proof of concept
MVP in production
Featured projects
Xenoss developers have the skillset and domain knowledge to help various businesses change and adapt to market trends and user expectations.
Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.
Oli Marlow Thomas,
CEO and founder, AdLib
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AI capabilities
Machine Learning and automation