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Custom AI and data engineering solutions for Retail & eCommerce

Predict shopping trends, personalize experiences, and manage inventory with cutting-edge machine-learning technology

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Leaders trusting our AI solutions:

15+

years helping enterprises

50+

market-ready solutions delivered

40%

of cost savings with component-based development

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Master key concepts and terminology in AI and Data Engineering

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Your Retail & eCommerce challenges, our AI solutions

Retail teams struggle to forecast demand, create personalized experiences at scale, optimize inventory, and prevent fraud.

Retail
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Demand forecasting

Difficulties in predicting demand accurately lead to overstocking or stockouts

Server cost optimization

Personalization

Customers expect tailored recommendations and experiences

API program development

Inventory optimization

Operational inefficiencies lead to lost sales or high carrying costs

Monolith-to-microservices migration

Retail fraud

Payment fraud and account takeovers create revenue losses

automation

Competitive pricing

Retailers lack tools to adjust product prices dynamically 

application modernization

Customer retention

Retailers lose revenue opportunities due to high churn rates

Data and identity management

Omnichannel experiences

Teams fail to blend online and offline shopping experiences

retail marketing technology

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

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AI-powered demand forecasting

Study sales data and external factors to predict future demand.

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Recommendation engines

Tailor product suggestions to customer preferences

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Inventory optimization tools 

Refine inventory management using demand predictions and past stock data.

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Fraud prevention systems

Identify unusual transactions and prevent retail fraud

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Price management 

Optimize pricing with algorithms that respond to demand, competition, and stock levels

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Sentiment analysis

Analyze customer sentiment to identify dissatisfied shoppers and develop retention strategies

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Data integration platforms

Unite data from different sources in a single platform to get a full view of inventory and customer experience 

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Real-time data analysis 

Monitor sales and stock levels in real-time

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Time-series analysis 

Employ time-series methods for tracking seasonal trends and growth patterns.

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Clustering techniques 

Group customers by demographics, behavior, or other attributes.

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Advanced analysis 

Gain insights into shopping trends and sudden demand surge

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Anomaly detection

Implement anomaly detection models for spotting irregularities in behavior.

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Dynamic pricing algorithms

Leverage dynamic pricing tools for instant price adjustments to maximize profits.

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Natural language processing 

Derive critical insight by analyzing reviews and conversations with AI for retail

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AI recommendation engines

Personalize product suggestions based on customer behavior

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Streaming analytics 

Build a streaming retail analytics software to get live sales and inventory data. 

Improve customer engagement, average deal size, and customer retention with custom retail software development 

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Why choose Xenoss AI and data engineers

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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.

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

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.

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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

Oli Marlow Thomas,

CEO and founder, AdLib

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

    Explore more ways to accelerate the growth and impact of your project through AI technology

    There is a lot more we can build together.

    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)