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Machine Learning Solutions

ZFort Group machine learning (ML) experts help to bring your business to a whole new level.

We'll analyze your business data and using ml algorithms build complex self-learning propensity models.

Our Machine Learning Development Process

We carry out several actions to add machine-learning solutions to your product. We divided them into convenient semantic blocks where we described the development step by step from the beginning to the finished solution.

01

Research and analysis of business needs

We closely examine your business by collecting data about your transactions, customer, production chains, etc. We make primary rough concepts that will develop into precise algorithms. This helps determine the specific system requirements for a future machine learning tool.

02

Data processing and pre-training of the model

We categorize and re-verify the received critical data to highlight the critically important points. Then, based on this data, the machine-learning model begins to train itself.

03

Model development

To begin machine learning solutions development, the obtained data is used to train the model. Everything happens in several stages. In the beginning, the model is trained, the parameters are checked and corrected, and then it is launched on a real problem. Since there is more than one set of parameters, several models are created, and the one that best performs the tasks is left in the end. After testing, the latest shortcomings are identified, corrected and prepared for a full-fledged release.

04

Model deployment

After all the tests, the ml model is deployed and released to your business and starts working and fulfilling your tasks. As all businesses are different, then the settings and performance of the model will be different.

05

Further maintenance

After all, tests are completed, the ml model is deployed and released to your business and starts working and fulfilling your tasks. Of course, as all businesses are different, then the settings and performance of the model will be different.

code writing for machine learning model
68 ML Projects Done

Why choose Zfort Group ML Team?

Our team can easily deal with complex issues.

Make out large volumes of unsorted data.

Hight hourly-rate efficiency.

Сhoose the right number of specialists.

Friendly and person-oriented communication.

Clarity and openness of the workflow.

Here at Zfort Group, our machine learning experts bring the best solutions. Let's talk!

 

Business Benefits of Machine Learning Solutions

  • Collection and processing of a large amount of data, thanks to which you can build forecasts and establish new trade chains with your customers.

  • ML helps to simplify the work of recording and entering data, as it can delay time-consuming but monotonous work, thus freeing up employees' time, which can be spent on other important tasks.

  • Strengthening the financial sector, making forecasts easier, engaging in automatic trading, and opening fraudulent monetary schemes. Also, ML can be used to check credit, criminal and medical history, which is critical for banks and insurance companies.

  • Can easily identify spam, so you don't have to waste time on unnecessary correspondence.

  • Easily automates and improves efficiency in manufacturing plants. Somewhere due to automation and somewhere due to the removal of unnecessary steps and production stages, which can increase production and reduce costs.

  • Using data analysis, determine the right product that will ideally suit your customers, leave them satisfied, attract new customers, and retain old ones.

Machine Learning Solutions Development

Our company has been providing high-tech development services for over ten years. We have gained experience with projects of varying complexity, requests, and sizes during this time. Below, for your convenience, we have provided a list of the main services we provide as part of the machine learning direction.

 

 

Build Popensity Model for Business

Based on your data, we will build a propensity model that will help predict the likelihood that your customers will perform (buy, sell, order, etc.).

    With this approach, you can determine which products are popular, which categories are the most profitable, and which ones will last longer than others.

    Customer Analytics

    Machine learning can easily track behavior patterns and types of customer orders and, based on them, offer additional products and services.

      Time series forecasting, identifying your company's trading cycles to improve profitability and cut costs.

      Predictive Analytics

      Customers have typical patterns, as well as your business and the market.

      With the help of the forecast, you can easily find out what awaits you next and what you are preparing for the future.

        The information will help you prepare in advance and be competitive.

        Recommendation System

        Recommendations are something like behavior patterns for shopping, but here the preferences and thoughts of people have been analyzed signals from data and user reactions to them.

        Based on this, people are recommended content that will be most enjoyable for them.

          Machine Learning Solutions are used by all major companies and applications, such as Facebook, YouTube, Instagram, Netflix, etc.

          NLP (Natural Language Processing)

          Analyze behavior, find data patterns, and better build a customer segmentation model to allow targeting, personalization, and overall customer experience.

            Our ML solutions experts build apps that work with natural language processing to analyze user behavior.

            As a result, our customer-centric solutions enable better targeting and personalization.

            Computer Vision

            Computer vision will help to identify any object, be it a cat, a pedestrian, or an essential product on a shelf (for example, your product).

            There are many possibilities because these are the eyes of a computer through which it sees this world.

              One powerful way to use it is face tracking.

              For example, you can analyze potential borrowers at the bank or face skin changes and recommend the appropriate skin care product.

              Deep Learning

              Deep learning is a subtype of machine learning which uses artificial neural networks to mimic the structure of the human brain.

              Often powered by cloud computing, deep learning algorithms have only recently become a workable solution thanks to the rapid evolution of new hardware.

                The good thing about deep learning is that it goes above and beyond traditional artificial intelligence and machine learning.

                It's overkill in a lot of cases, but from a business perspective, it's a robust solution when you're creating and processing huge amounts of data.

                Case Studies

                Tiaki

                Read more about how we set up an automated alert system for an SEO tool to manage your clients' websites, social media, and marketing campaigns.

                See Full Case Study
                Tiaki

                Gotta Hunch

                The gambling application app allows you to make a daily news prediction. Both iPhone and Android apps were completely designed and developed.

                See Full Case Study
                Gotta Hunch

                iNET Guardian

                Zfort team created an app for parents that gives quick and easy access to their kids' activities, allowing kids to surf the Internet safely and securely.

                See Full Case Study
                iNET Guardian

                Magento 2 Store

                The created Magento 2 Commerce store handles a vast number of combinations of different products. The website is generating significant profits, and gets positive customer feedback on their online shopping experience.

                See Full Case Study
                Magento 2 Store

                Online IO

                A revolutionary Ethereum-based cryptocurrency with tokens generated by the amount of time a user spends on a website.

                See Full Case Study
                Online IO

                Ryde

                The development team has updated the existing iPhone applications for the fitness boutique chain. The app provides ease of use for customers and a competitive edge in the market.

                See Full Case Study
                Ryde

                Scrapo

                The marketplace is designed for both web and mobile applications. Sellers and buyers can post a listing, get the best price, conclude deals directly from the phone anywhere in the world.

                See Full Case Study
                Scrapo

                Smooch

                Our team completely redesigned and rebuilt both front-end and back-end of the platform to make it a suitable place to meet and match people. We also realized the iOS mobile app.

                See Full Case Study
                Smooch

                Beyond

                The main goal was to upgrade the WP website and add some features, provide a preliminary savings quote with a solar system installation and inform them about the solar panels' services.

                See Full Case Study
                Beyond
                Machine Learning Solutions FAQ

                 

                 

                What are the most common problems that can be solved with machine learning?

                This list will answer that question:

                • ML Product Recommendations(totally other level compared with traditional recommendations)
                • Customer Segmentation
                • Media Content Recognition
                • Fraudulent Detection
                • Forecasting
                • Robo Personal Assistant
                • Customer Service Automation

                 

                What are the main solutions in machine learning?

                There are three main types - Supervised, Unsupervised, and Reinforcement Machine Learning.

                Basically, from above, all these types differ in the human interaction level degree. It can be full interaction, no interaction, or mix, like in the reinforcement case.

                 

                How to build machine learning solutions?

                Everything is pretty simple :)
                First, find the problem you want to solve. For example, let's say you need to sell more products on which you placed a bet and want to translate it. 
                Collect all data on the subject in one place. Next, build a propensity model based on this data and let it look for your problems, analyze information flows, and make all the predictions on how your clients will behave.
                These are the models we help businesses build, so you're in the right place.)

                 

                In which areas does our ML company provide its services?

                Our Machine Learning Solutions service areas:

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                We Are Happy to Listen

                Tell us about your project to get the ball rolling

                Improve your Business by implementing efficient machine learning models.

                Would you like to eliminate the pain points of your business operations? We develop end-to-end machine learning solutions. Let's talk.