Custom AI and data engineering solutions for Retail & eCommerce

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

Proud members and partners of

Xenoss collaborates with leading industry organizations and standards bodies to advance AI and Data Engineering development

Your Retail & eCommerce challenges, our AI solutions

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

How Xenoss data and AI solutions help address concerns

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.

Why choose Xenoss AI and data engineers

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

Partner with a skilled team of data and AI experts to develop groundbreaking platforms for the Retail & eCommerce industry

We excel in designing robust digital ecosystems and refining IT operations

Demand forecasting systems
AI-driven shelf stocking optimization
Intelligent packaging design tools
Dynamic pricing platforms

We empower brands to boost scalability and deliver high-performance digital services

Inventory and stock replenishment tools
Personalized marketing campaign platforms
E-commerce fraud detection solutions
Virtual product assistants

We design and support innovative platforms for the Retail & eCommerce, including

Real-time supply chain monitoring
Consumer behavior prediction engines
Customer sentiment analysis tools
Automated quality inspection systems

How we operate

Transform your enterprise with AI and data engineering—faster efficiency gains and cost savings in just weeks

Challenge briefing

2 hours

Tech assessment

2-3 days

Proof of concept

8-12 weeks

AI and Data Engineering services in production

3-4 months

Evolve your project and expand the range of partners and clients with custom AI solutions for Retail & eCommerce

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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What’s your challenge? We are here to help.

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AI capabilities

Predictive modeling
Computer vision
Conversational AI
Generative AI
AI consulting

Data Engineering

Data fabric
Data platforms
Data pipelines
Data infrastructure
Data migration
Data mining and preparation
Infrastructure cost optimization
Data stack integration
Real-time data solutions
Data analytics solutions
Data visualization & reporting solutions
Enterprise application modernization services
Data strategy
Data engineering consulting
Business intelligence

Machine Learning and automation

ML & MLOps
ML system TCO optimization
Model & algorithm development and integration
RPA (Robotic Process Automation)