Predict shopping trends, personalize experiences, and manage inventory with cutting-edge machine-learning technology
Leaders trusting our AI solutions:
15+
years helping enterprises
50+
market-ready solutions delivered
40%
of cost savings with component-based development
Retail teams struggle to forecast demand, create personalized experiences at scale, optimize inventory, and prevent fraud.
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
Study sales data and external factors to predict future demand.
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
Time-series analysis
Employ time-series methods for tracking seasonal trends and growth patterns.
Clustering techniques
Group customers by demographics, behavior, or other attributes.
Advanced analysis
Gain insights into shopping trends and sudden demand surge
Anomaly detection
Implement anomaly detection models for spotting irregularities in behavior.
Dynamic pricing algorithms
Leverage dynamic pricing tools for instant price adjustments to maximize profits.
Natural language processing
Derive critical insight by analyzing reviews and conversations with AI for retail
AI recommendation engines
Personalize product suggestions based on customer behavior
Streaming analytics
Build a streaming retail analytics software to get live sales and inventory data.
Real-time data specialization
Leverage our expertise in creating high-performance systems optimized for Retail & eCommerce. Process high volumes of real-time customer interactions, transactions, and browsing data.
Extensive experience with high-load
Ensure your retail platforms perform seamlessly during high-traffic periods (holiday sales or flash promotions) with our expertise in handling large-scale data operations.
Adopt multi-cloud strategies
Architect scalable, resilient retail systems with multi-cloud strategies. Optimize costs while maintaining low latency for global operations and uninterrupted service.
Premium engineering quality
Hire engineers with extensive experience in building retail solutions, from inventory optimization platforms to recommendation engines, ensuring robust, scalable systems
Secure AI solutions for Retail & eCommerce
Protect customer data and maintain compliance with secure AI solutions. We leverage privacy-preserving methods like federated learning and differential privacy to train and deploy AI models securely.
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
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
Data engineering
Machine Learning and automation