Predictive Analytics Services for Smarter Optimization

Make daily operations faster and more data-driven with machine learning predictive analytics. We provide data science experts through team extension or dedicated teams, and deliver custom software solutions tailored to your business needs. 500+ happy clients and over a decade of experience.

Submit your predictive analytics project

Turn raw data into business insights with predictive analytics:

Predictive analytics solutions help turn raw, often siloed data into actionable insights that support both operational and strategic decision-making. These applications analyze historical data using statistical methods and machine learning algorithms to estimate likely future outcomes. This enables more informed decisions and the automation of selected routine tasks, such as:

  • Consult with our experienced engineers on your challenge:

    • Sales and revenue forecasting

      Foresee future sales by location and product type to estimate the revenue and manage inventory more efficiently. Predictive data analytics tools can also automatically adjust prices based on market trends to let you keep up with the competition.

    • Preventive maintenance

      Use predictive analytics software to keep your equipment in order, prevent costly breakdowns, and minimize downtime. Such software monitors equipment to warn you when something is about to fail and schedule maintenance.

    • Churn prediction

      Intervene early to save your customer base and reduce revenue loss. AI-based analytics tracks customer behavior to detect the signs that someone is about to leave and take the most suitable action to prevent it.

    • Fraud detection

      Boost your payment systems with fraud risk assessment algorithms to detect suspicious behavior and flag risky accounts. It will save you from fraudulent chargebacks and disputes.

    • Inventory optimization

      Predict product demand to ensure you’re always ready to complete customer orders without overstocking. Dynamic forecasting enables you to place orders for replenishing the stock and optimizing logistics automatically.

    • Customer behavior and marketing

      Know your customers and serve them with more relevant marketing communications to drive conversions. Predictive analytics platforms enhance lead scoring, customer segmentation, conversion prediction, and cross-sell and upsell opportunities.

Predictive Analytics Services for Forecasting & Risk Assessment

Predictive analytics for business is part of our broader AI and Machine Learning services, which also cover GenAI implementation, data engineering, MLOps, and related domains. Working with our team gives you a single, reliable partner for engineering delivery and the expertise required to design and implement custom AI systems.

  • Predictive Analytics Consulting

    Assess the feasibility of predictive analytics capabilities for your specific business case before investing in custom algorithm development. Our consulting services cover problem analysis, use case definition, ROI estimation, and model selection. We also advise on suitable technology stacks and outline a cost-effective roadmap for integrating predictive analytics into your systems.

  • Data Pipeline Development

    Make better use of your existing data by building infrastructure prepared for AI implementation. Our teams support data cleaning, transformation, and normalization, and design ETL and ELT pipelines for both structured and unstructured data. We also integrate data lakes, warehouses, and APIs to help centralize and prepare data for analytics and machine learning use cases.

  • Custom AI Model Development

    Build custom predictive analytics solutions tailored to your data requirements and business context. Our vetted talent network enables access to the right expertise to design and implement AI models end to end. Our teams handle data preparation, model development and training, and ongoing refinement after deployment to support reliable performance over time.

  • Infrastructure Scaling

    Prepare your infrastructure for increasing data volumes and workloads required to support predictive analytics solutions. Our MLOps engineers analyze existing resources and projected demand to design architectures that support growth while balancing performance and cost efficiency.

  • LLM and NLP Development

    Enhance big data predictive analytics by combining it with LLM and NLP models. These technologies help extract structured signals from unstructured sources such as product reviews, support chats, or documents, which can then be used by predictive models to provide data-driven insights. Our team works with you to assess objectives and operational context and design models that support targeted automation and analysis.

  • Industry-Specific Solutions

    Collaborate with engineers who have experience delivering solutions in comparable industry contexts. Before development begins, we conduct a business analysis to understand domain requirements and how your software concept fits them. This helps align technical decisions with industry constraints, business goals, and practical implementation needs.

  • Integration with Third-Party Tools

    Extend your existing software with predictive analytics capabilities by integrating third-party tools and services. We support the selection and integration of solutions for BI reporting, churn analysis, sales and marketing insights, demand forecasting, and related use cases. Using established tools can simplify upgrades and help reduce ongoing engineering effort.

  • Custom Tech Workshops

    Engage our team to deliver tailored workshops designed around your organization’s needs. Based on your learning goals, we develop focused training on predictive analytics concepts, tools, best practices, model development, evaluation, and deployment. These workshops support AI-driven predictive analytics adoption and help teams build practical, industry-relevant expertise.

  • Start planning your predictive analytics solution now:

Predictive Analytics Delivery Models

We offer flexible cooperation models to match different delivery needs, timelines, and levels of ownership. You can engage a dedicated team for long-term collaboration or work with us on a defined scope of work, and adjust the setup as requirements evolve.

  • Dedicated Development Teams

    Engage software engineers with a flexible setup that adapts to your needs. You can start with a single expert and scale to a cross-functional team as your project evolves. We help define the right technology stack and skills mix, while you maintain direct communication and day-to-day control, similar to working with in-house engineers.

  • Project-Based Solutions

    Use a project-based model when you have a clearly defined scope, objectives, and timeline. In this setup, we take responsibility for delivering a specific solution against agreed requirements and milestones. This option also works well for product discovery, proofs of concept, or MVPs prior to full-scale development.

  • Custom AI Workshops for Teams

    Arrange tailored workshops to support predictive analytics adoption within your organization. We engage specialists with relevant domain expertise to deliver hands-on training. These workshops help teams build practical skills, align on best practices, and prepare for applying predictive analytics in real projects.

Let’s discuss which engagement model works best for your organization:

Tools and Technologies We Use for Analytics Services

The technology stack for our predictive analytics services is selected based on your project requirements, while our teams support model development, infrastructure setup, and ongoing refinement.

    • We use workflow orchestration tools to automate and schedule data pipeline tasks and ETL tools for extracting, cleaning, and loading data from multiple sources.
    • We rely on visualization and business intelligence tools to help decision-makers understand insights at a glance.
    • Our experts in GitLab CI/CD, Jenkins, MLflow, Kubernetes, and Docker ensure models stay reliable, up-to-date, and ready for production.
    • We prepare the cloud infrastructure for processing large volumes of data and assist you in adopting ML/AI tools offered by cloud providers.

  • Data Preparation and Pipelines

    • Apache NiFi
    • Airflow
    • Talend

  • Visualization and BI

    • Power BI
    • Tableau
    • Qlik Sense

  • CI/CD Systems

    • Docker
    • Kubernetes
    • Jenkins

  • Cloud Platforms

    • AWS
    • GCP
    • Azure

Meet your team:

Get an overview of specialists from our vetted network of machine learning and data science professionals. Our team extension process is designed for fast and smooth integration.

  • $60/h

    Senior Computer Vision Specialist

    Oleksandr K., 10+ years of experience
    Oleksandr specializes in end-to-end projects. He focuses on real-time image analysis, defect detection, and system integration. His expertise as a computer vision consultant brings forward scalable solutions.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $52/h

    Computer Vision Algorithm Engineer

    Vesela D., 7+ years of experience
    Vesela excels in developing and deploying algorithms for image recognition and video analysis. Her work ensures optimal system performance aligning with the needs of modern enterprises.
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $60/h

    Data Science Automation Engineer

    Olena S., 8+ years of experience
    Olena excels in automating data pipelines and integrating ML solutions into existing systems. Her expertise ensures scalable, secure data management and continuous improvement in predictive analytics, empowering your business with reliable insights.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $65/h

    Senior Data Science Consultant

    Dimitar I., 10+ years of experience
    Dimitar leads data strategies along with predictive model development. His work spans multiple industries, delivering tailored solutions. He is an expert in transforming raw data into insights that drive operational efficiency.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

How We Implement Predictive Analytics Solutions

We can take responsibility for defined scopes of work across the project lifecycle or support specific stages as needed. The stages outlined below represent a typical roadmap, which is adapted to the goals, constraints, and requirements of each engagement.

  • Gathering Requirements and Planning

    Step 1

    At the start of the engagement, we work with you to understand your product context and expectations for predictive analytics implementation. This allows us to clarify scope, estimate effort, plan collaboration, and align on delivery requirements.

  • Data Assessment & Preparation

    Step 2

    Because model performance depends heavily on data quality, our data management experts assess existing data sources to evaluate relevance, completeness, and gaps. This phase typically includes data cleansing, normalization, and preparation to support reliable model development.

  • Solution Design

    Step 3

    We identify the best tools, from ready-made solutions to custom algorithms and models from scratch, and design the system architecture to fit your performance needs and infrastructure.

  • Development and Testing

    Step 4

    Depending on your project specifics, we either integrate an off-the-shelf predictive analytics solution or develop a custom model, working in sprints. Our QA engineers test the model after implementation to refine and optimize it.

  • Software Maintenance

    Step 5

    After deployment, we support ongoing operation through model monitoring, updates, and retraining as needed. This phase may also include documentation, knowledge transfer, and training to help teams maintain and evolve the solution over time.

Industries We Focus On

Predictive analytics is not tied to specific industries. You can use it anywhere to implement advanced analytics and automation based on large data volumes. Such software provides users with helpful insights to make data-driven decisions and optimizes routine operations. Manufacturing, logistics, healthcare, finance, and e-commerce are some of the most common use cases. Check how we use it in these and other fields.

  • HealthTech

    Provide medical staff with recommendations and assumptions based on historical data on similar cases. When powered by predictive analytics, medical software can help forecast  patient outcomes, including disease progression and risk of readmission, personalize treatment recommendations, and analyze imaging results.

  • GreenTech

    Use predictive analytics capabilities to develop software that enhances the effectiveness and reliability of green infrastructure. Our engineers can help you implement features for energy consumption and demand forecasting, renewable infrastructure maintenance, and carbon emission optimization.

  • EdTech

    Improve learning outcomes with personalized recommendations and curriculum. Such systems analyze the learner’s performance to detect areas for improvement and select materials that can increase student success. They also streamline the work of instructors and support teams through automated monitoring and assessment.

  • FinTech

    Minimize the risks of online transactions for payers and businesses with real-time fraud detection and anomaly detection. Our team also builds systems for automated credit scoring and loan default prediction, investment forecasting, and personalized financial product recommendations.

  • Manufacturing

    Optimize production operations at different levels, from automatically ordering inventory to tracking team performance. Predictive analytics offers many benefits to manufacturers, including reduced downtime and maintenance costs, higher product quality, lower waste, and improved customer satisfaction.

  • Transportation & Logistics

    Build software that tracks fleet operation to forecast breakdowns and enhance maintenance. Predictive analytics in logistics can also optimize delivery times and routes, predict demand for routes or cargo space, and save costs by reducing fuel consumption.

Leverage predictive analytics for optimization and growth:

Why Organizations Choose Beetroot for Predictive Analytics Solutions

Beetroot works with organizations across industries, focusing on long-term outcomes rather than one-off delivery.

  • Access to Niche Expertise

    Engage engineers with experience across predictive analytics, machine learning, and data engineering. Our vetted talent network and structured onboarding help ensure a strong fit and effective collaboration.

  • Flexible Engagement

    Reduce time to kickoff with a refined team extension process designed for quick integration. You can start with a single specialist and adjust team size or skill mix as your project changes, without locking into fixed structures.

  • Cross-Disciplinary Experience

    Work with a single partner across the predictive analytics lifecycle. In addition to ML engineers and data scientists, we provide access to data engineering, MLOps, cloud, QA, and related roles required to move models from development into operation.

  • Capability Building

    Complement delivery with targeted training and knowledge sharing through upskilling workshops. These initiatives help teams understand predictive analytics concepts, reduce operational risk, and build internal capability beyond the initial implementation.

  • Positive Local Impact

    Partner with a company that cares about the communities where it operates and acts responsibly. We contribute to UN SDGs across our global locations through our core business activities, volunteer projects, aid programs, and other initiatives.

Our Clients Say

We have asked our clients what they think about cooperation with Beetroot, and they have shared their stories. Read about fellow leaders’ experiences to better understand our approaches and values.

  • Co-Founder & CTO of Genomics Platform

    For a long time, we only worked with one specialist from Beetroot. But, we were so happy with the deliverables, scheduling, and overall-cost quality ratio that we decided to proceed with building a bigger team! This growing team now cooperates efficiently with our in-house employees

Custom Workshops on Predictive Analytics

Train your team to implement advanced analytics smoothly.

    • Faster innovations and more efficient work

      When people know all the intricacies of predictive analytics and feel sure about their skills, they are more willing to use new features in their everyday work.

    • Reduced risks

      Our workshops help you adopt predictive analytics solutions confidently,  minimizing common implementation issues like poor data quality, lack of interpretability, weak integration with existing systems, and inadequate security.

    • Regulatory compliance

      Since data processing involves many regulatory risks, every company must regularly train staff on meeting continuously emerging requirements, and we do it for you.

Let’s explore how we can address your case:

Fill out the form to connect with our team. We’ll discuss your context, assess whether predictive analytics is the right fit, and outline a practical path toward implementation.

    FAQ

    This FAQ section covers common questions about predictive analytics, including data requirements, model maintenance, and implementation considerations.

    Nick Tykhomyrov, CBDO, Beetroot
    Nick Tykhomyrov
    CBDO