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:
We have extensive experience in developing predictive models for demand prediction. Our solutions can help you forecast future demand for your products or services, optimize inventory levels, and make better decisions about pricing and marketing strategies.
nexocode team can develop custom predictive models to help you identify which customers are at risk of canceling their subscription, product, or service. With this information, you can target at-risk customers with personalized offers and benefits to make them stay.
Our team of ML engineers can help you develop predictive maintenance solutions that can detect potential equipment failures before they happen. By using predictive analytics, you can avoid costly downtime and improve the efficiency of your operations.
We can help you develop predictive models for manufacturing that can optimize production processes, predict yield, and identify quality issues. With our predictive analytics solutions, you can improve the efficiency of your manufacturing operations and reduce waste.
nexocode offers custom development services for digital twins, which are predictive analytics models of physical and biological systems. Digital twins can be used to simulate the behavior of complex systems, such as manufacturing processes, power plants, and human physiology. With our digital twin solutions, you can optimize the performance of your systems and reduce the risk of failures.
We develop custom predictive analytics software that can be used to score individuals, organizations, or behaviors. Scoring models are often used for credit scoring, insurance underwriting, and evaluating the probability of conversion (lead scoring). With our scoring model solutions, you can make better decisions about whom to lend to, insure, or do business with.
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
Data Science Expert
Dorota Owczarek
Design Thinking Facilitator & Product Lead
Oleksandr Zakharchuk
Machine Learning Expert & Advisor
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.
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.
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.
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.
Predictive analytics tools can be used to support your business in many ways. Some of the benefits of predictive modeling include:
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
Logistics Sector
Fintech Sector
Fintech Sector
Insurance Sector
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.
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.
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.
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.
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
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.
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 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.
There are many benefits to applying predictive analytics in business, including:
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.
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.
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.
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.
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.
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.
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.
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.
