AI in transportation and distribution
AI in warehouses
AI in last mile-logistics and parcel delivery

Our Expertise in Developing Predictive Analytics Software

nexocode offers custom development services for predictive analytics solutions to help you transform your data into insights that drive better decision-making. We use cutting-edge deep learning technologies to develop predictive models that are accurate and reliable. Our team has expertise in a wide range of predictive analytics methods, including:

Reach Out to Our Experts

If you are looking for a partner to help you develop a predictive analytics solution, nexocode is the right choice. We have a team of experienced Data Scientists and Machine Learning Engineers who can help you turn your data into insights that drive better decision-making. Our AI Product Managers will support you throughout the development process, from concept to delivery. To discuss your project with our experts, contact us today.

Krzysztof Suwada

Krzysztof Suwada
Data Science Expert

Dorota Owczarek

Dorota Owczarek
Design Thinking Facilitator & Product Lead

Oleksandr Zakharchuk

Oleksandr Zakharchuk
Machine Learning Expert & Advisor

Predictive Analytics Tools Across the Industries

Retail, eCommerce, and Marketing

Predictive analytics software can forecast customers' purchase behavior, helping you to make better decisions about demand and what products to stock, design pricing strategies, plan cross-selling/upselling activities, and create marketing campaigns. By analyzing customer behavior, you can predict which customers are at risk of churning and act on it accordingly.

Logistics and Supply Chain Management

Predictive modeling can be used to optimize your logistics and supply chain operations. By analyzing data from past shipments, predictive analytics can forecast demand, plan fleet management and inventory, and choose the most efficient shipping routes. This information can help you to save time and money while ensuring that your customers receive the products they need when they need them.

Read more

Pharmaceuticals and Life Sciences

With the data from clinical trials and experiments becoming more available, predictive analytics is playing an increasingly important role in the pharmaceutical and life sciences industries. Predictive models can be used to forecast the efficacy of new drugs, predict the side effects of medications, or plan clinical trials. Predictive analytics tools can optimize the pharmaceutical manufacturing processes making sure that they are compliant with the regulations.

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Chemicals

Predictive analytics can be used to develop models that forecast the behavior of complex chemical reactions, predict the quality of synthetic chemical substances, apply predictive maintenance, or plan production according to the demand. This information can be used to optimize production processes, improve final product quality, reduce waste, and increase profits.

Read more

Energy and Telecommunications

With real-time data from a variety of sources, predictive analytics solutions can help you optimize your energy usage, predict demand, understand consumer behavior, and make better decisions about pricing and capacity planning. Predictive models can also be used to forecast the behavior of complex systems, such as power grids or telco infrastructure and identify potential problems before they happen.

Banking, Financial Services, and Insurance

Predictive analytics is essential for any business in the banking, financial services, or insurance industries. Predictive analytics tools based on historical data can be used to forecast credit risk or trading activities, fraudulent activities, support underwriting or predict customer behavior. By using predictive analytics software, you can make better decisions about whom to lend to, insure, or do business with.

Custom Predictive Analytics Software Can Support Your Business in Many Ways

Predictive analytics tools can be used to support your business in many ways. Some of the benefits of predictive modeling include:

  • Improving customer service and retention rates by getting actionable insights into your customers' needs and behaviors.
  • Reducing costs by identifying inefficiencies in your processes and making more informed decisions about where to allocate resources.
  • Increasing revenues by designing targeted marketing campaigns and identifying upselling opportunities.
  • Improving decision-making on what products to stock, pricing strategies, and marketing campaigns by forecasting demand for your products or services.
  • Ability to mitigate risks and excessive costs by identifying potential problems before they happen.
  • Increasing product quality by predicting defects and anomalies and making process improvements.

Our Case Studies

To give you a better idea of the type of work we do, here are some case studies of the predictive modeling projects that we have worked on:

Pharmaceutical Sector

Predictive Monitoring for APIs Production Process

Improving batch production process based on an AI model that analyzes real-time data streams from reactors?
Challenge Accepted!

PREDICTIVE ANALYTICS ANOMALY DETECTION

Logistics Sector

Scheduling deliveries by predicting an optimal time of delivery for last-mile logistics

Predictive scheduling for last-mile distribution and route planning based on an AI model that predicts delivery success?
Challenge Accepted!

Predictive Analytics

Fintech Sector

Predicting Bank Loan Defaults for Profit Maximization

Developing an AI model for loan default prediction and using it to increase bank profits?
Challenge Accepted!

Predictive Modeling

Fintech Sector

Loan Application Fraud Detection

Developing a model that can identify fraudulent loan applications for a financial institution?
Challenge Accepted!

Fraud Detection Predictive Modeling

Insurance Sector

Auto Insurance Fraud Claim Detection

Developing an AI model that can detect car insurance fraud based on car accident claims?
Challenge Accepted!

Fraud Detection Predictive Modeling

See more projects
How Can We Help - Our Predictive Analytics Development Services

How Can We Help - Our Predictive Analytics Development Services

At nexocode, we offer a wide range of predictive analytics services that can be tailored to your specific needs and requirements. nexocode's offering covers end-to-end predictive analytics services from initial data mining, strategy, advisory, and consulting to implementation and ongoing production support.

AI Design Sprint

Strategic Consulting and Advisory

We can help you assess the feasibility of using predictive analytics to achieve your desired business outcomes and develop a roadmap for implementing your predictive modeling project. We organize AI Design Sprint workshops focused on looking into your business data, needs, and opportunities for predictive analytics software where you can unleash the artificial intelligence potential and create new value for your business through digital transformation.

Proof of Concept Development

Data Analysis and Preprocessing

We also have experience working with various data sources, including structured data, unstructured data, text data, time-series data, and more. No matter what type of data you have or your specific needs, we can help you develop a solution that meets your requirements. We can augment your data sets by building generative adversarial network solutions. Our Data Scientists will support you in conducting exploratory data science analysis and advise on building a data strategy.

Data Quality Audit

Predictive Analytics Software Development

We offer a full range of predictive analytics services, from initial data discovery and developing custom data science and machine learning ad hoc analysis to deploying advanced predictive analytics platforms at scale. Our team of experienced data science engineers will work closely with you to ensure that your project is completed on time and within budget.

Building Data Systems

Custom Product Development

As an artificial intelligence development company, nexocode provides full-cycle custom product development services to help you build predictive analytics software from scratch or improve your existing data analysis system. We have a team of experienced product designers and developers who can lead product development in an agile way

Custom AI Software Development

Predictive Analytics Tools Integration and Maintenance Services

We can support you in predictive analytics tools integration with your existing solutions and workflows. We will work closely with you to understand your requirements and ensure that the integration is seamless and effective. In addition, the nexocode team can provide application maintenance and support for your solution.

A development process that brings AI results in weeks, not years

Kickoff
Briefing

2 hours

Explain your business and share your pain points to gain insights into AI capabilities and an approach designed by our nexocode experts.

AI Design
Sprint

2 days

Identify a high-impact business problem and collaborate with nexocode experts to propose an AI solution.

Proof of AI
Development

4 – 12 weeks

Rapidly build an AI model that solves your problem and subsequently test machine learning algorithms on your datasets.

AI Application Deployment
in Production

3 – 9 months

Build automated pipelines, scale, and deploy your artificial intelligence app into production. Adjust algorithms to meet your desired benchmarks.

Predictive Analytics Software Development - Your Questions Answered

What is predictive analytics?

Predictive analytics is the branch of artificial intelligence that deals with making predictions about future events based on historical data. Predictive analytics uses a variety of techniques, including machine learning, statistical modeling, and data mining.

What are the benefits of applying a predictive analytics solution?

There are many benefits to applying predictive analytics in business, including:

  • Predictive analytics gives you the power to see into the future and make decisions that can help you avoid problems before they occur.
  • Predictive analytics can help you optimize your marketing campaigns by identifying which customers are most likely to respond to a particular offer.
  • Predictive analytics can help you improve your customer retention rates by identifying which customers are most likely to churn.
  • Predictive analytics can help you reduce fraudulent activity by identifying which transactions are most likely to be fraudulent.
  • Predictive analytics can improve your manufacturing processes and final product quality by predicting deteriorations before they occur.
What is the difference between machine learning and predictive analytics?

Machine learning is a subfield of artificial intelligence that deals with designing and developing algorithms that can learn from data. Predictive analytics is a subset of machine learning. Machine learning models are used to learn and improve from experience without being explicitly programmed automatically. Predictive analytics, on the other hand, is the process of using data mining and statistical models to predict future outcomes.

Will a predictive analytics tool bring value to my company?

Predictive analytics can bring value to companies of all sizes in various industries. Whether you're looking to improve your marketing campaigns, forecast product demand, or optimize your manufacturing processes, predictive analytics can help you achieve your business goals.

However, there is no guarantee that a custom predictive analytics software will get this expected value or that the total cost will not be too high to handle. That is why a detailed planning phase and an iterative approach are crucial in every AI-based project. Only in this way will you be able to predict the cost, income, and break-even points of your development. There are ways to reduce the risk of not getting value from AI solutions. nexocode's approach is based on a deep understanding of the needs of the projects and the possibilities of current AI technologies coupled with the iterative process. Our project methodology focuses on delivering value as early as possible and starting small with AI Proof of Concept development.

You can find out more about how to turn AI into a profitable investment in our article on theROI of AI. Our team will help you leverage the latest AI tools and methodologies to create practical data-driven applications that deliver real business value.

How much data do I need for a predictive analytics project?

When it comes to data needs there is no hard and fast rule, generally speaking, the more data you have, the better. This is because predictive analytics relies on historical data to make predictions about future events. So, if you have more data, your predictive models will be more accurate, especially when working on deep learning projects more data will allow the algorithm to learn and improve its performance.

Our Data Scientists are experienced in providing preliminary Data Quality Audits and in preparing a dedicated data collection strategy for our clients.

I have a lot of data. Can nexocode help me clean and prepare it for computer vision?

We are experienced in working with a wide variety of data sources and formats. We can help you clean and prepare your data for image analysis. Our team can also help you not only with preprocessing or data labeling but also with designing and implementing a custom data collection strategy tailored to your specific needs.

How much does it cost to develop a predictive analytics solution?

Wisely navigating the complexities of predictive analytics development requires specialized expertise and experience. At nexocode, we have a team of experienced data scientists and machine learning engineers who can help you evaluate your needs and determine an optimal approach for your project.

The cost of a predictive analytics project depends on several factors, including the size and complexity of the project, the amount of data available, and the specific business needs. To get an accurate quote for your project, please contact us.

Which predictive analytics techniques are used to build advanced analytics solutions?

Depending on project complexity, we apply various machine learning and statistical analysis to build predictive analytics solutions like regression models, support vector machine, time series forecasting, decision trees, random forests, and deep learning methods like neural networks or reinforcement learning.

Which programming languages and frameworks are used to build predictive analytics solutions?

Choosing which technology should be used to build predictive analytics solutions will depend on the specific task you are trying to accomplish and the technology that you want to use or already use within other services. At nexocode, we have experience using various programming languages and frameworks, including Python, Keras, TensorFlow, and Google Cloud ML Engine. We prefer a technology-agnostic approach to make sure to select the predictive analytics techniques, platforms, and libraries that work best for your task.

How to integrate predictive analytics solutions with internal systems?

Many companies already have a significant investment in internal systems and data. nexocode can help you leverage this investment by integrating predictive analytics solutions with your existing systems. Our ML experts have experience working with a variety of different technologies. They can help you determine the best way to integrate a predictive analytics model into your existing system and ensure that the integration is executed seamlessly.

Do you want to talk
about your idea?

Mateusz Łach - Nexocode New Business Lead
Mateusz Łach New Business Lead schedule a call

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