AI-based Web Solution: X2 Sales Rise for Custom Sports Clubs

AI-based Web Solution for Maximizing Sales

AI-based Web Solution: X2 Sales Rise for Custom Sports Clubs

The team developed an AI-based solution to automate the analysis of golf players’ positions and strokes, to boost sales for custom golf clubs manufacturing business.

#AI

#WebDevelopment

#ComputerVision

Client*

The client is a major manufacturer of custom golf clubs.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Project in numbers

duration

3 months

team

6 specialists

Team involved in the project

industry

Sport and Entertainment

solution

AI-powered analyzer for golf players

technologies

TensorFlow, Keras, Python, OpenCV, Mediapipe, LabelMe, MLFlow, NumPy, Colab, Matplotlib

1 x Lead Data Scientist

2 x Data Scientists

1 x Data Engineer

1 x Project Manager

1 x QA

Challenge

Develop an AI-based product for analyzing golf players’ positions and strokes in order to design individually fitting golf clubs. The client was already using computer analysis software for analyzing the players’ movements and consistency of strokes and wanted to fully automate the process.

Solution & functionality

The team created an AI-powered solution capable of recognizing the golf club in a player’s hand and correctly estimating the angles of his joints (the posture).

Detection of player’s positions and golf club

Our team developed a model that successfully identifies the position of a person’s body, including their arms and legs, as well as the position of the golf club, using computer vision technology.

Robust pose estimation

Our developers enhanced the model to gather additional information by measuring the angles of specified body joints through computer vision technology. Data is captured either via a mobile device camera or via a pre-installed kiosk with a camera.

Collection, analysis and processing of advanced metrics

Timspark’s specialists developed and fine-tuned the classifier model to meet the project’s unique requirements. The model analyzes received images, determines the average class among all attributes of captured objects, and subsequently identifies the target audience for the advertisement.

Results and business value

The product was developed as an MVP. All the intended functionality operates with the help of computer vision and artificial intelligence technologies.

Benefits for client

The client remained highly content with the quality and speed of the team’s work. By successfully implementing the technology into their sales process, the client doubled their sales.

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    Holistic DevOps solution for banking software lifecycle

    DevOps environment

    Holistic DevOps Solution for Banking Software Lifecycle

    Our team built a DevOps toolkit for transparent development processes in the banking domain.

    #Banking

    #Fintech

    #Cloud

    Client*

    Bank with various departments and an extensive range of 80+ digital offerings (exclusive software, CRM platforms, ERP systems, web gateways, and mobile applications).

    *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

    Project in numbers

    duration

    September 2019 – Ongoing

    team

    12 specialists

    Team involved in the project

    industry

    Banking, Fintech

    solution

    Streamlined management of digital solutions under the DevOps toolkit

    technologies

    Jira, Microsoft Teams, Confluence, Bitbucket, Bamboo, Jenkins, Load Runner, Selenium, JUnit, TEST IT, SonarQube, Anchore, Black Duck, Fortify, Ansible, Packer, Nexus Repository Pro, Zabbix, Grafana, Elasticsearch, Loki, Kubernetes, VMware Tanzu, Microsoft Azure, VMware, Hyper-V

    1 x Cloud Architect

    3 x Business Analysts

    1 x Project Manager

    5 x DevOps Engineers

    2 x System Engineers

    Challenge

    Due to the lack of a coherent software development strategy, the customer could not leverage the advantages of DevOps within the banking domain. Therefore, they encountered challenges such as fragmented codebases and inconsistent knowledge transfer, absence of automated testing, and extended time-to-market for their solutions.

    Related objectives

    Organize scattered codebases

    Streamline communications

    Reduce time-to-market

    Solution & functionality

    Our team considered the functional requirements provided by the customer, with cost-effectiveness and reliability in mind, to build a fully functional DevOps environment. The customer is now able to manage application lifecycle, communications, continuous integration, testing, deployment, and monitoring with more transparency and flexibility.

    Effective app lifecycle and communications management

    Our team saw Atlassian products as the option, as their functionality provides smooth implementation and ability to practice agile management. We set up Jira to handle development processes and improve communication.

    Confluence was used to generate and store documentation, which used to lack systematization.
    Microsoft Teams was implemented to streamline communication between development teams and external collaborators.

    Version control and continuous integration

    Our client lacked a centralized repository for version control and streamlined CI/CD pipelines. As a solution, our project team initiated a transition to Bitbucket, conducted training sessions on GitHub beforehand, and implemented Jenkins.

    Testing and security scans

    The team implemented tools for monitoring software vulnerabilities and maintaining effortless product quality.

    TEST IT for a range of testing functionalities: manual and automated testing, autotest integrations, extended public APIs, test libraries, user-friendly test script editors, version control, and historical data management.
    Black Duck for adherence to security protocols and SonarQube to maintain code quality and cleanliness.

    Deployment, configuration, and artifact management

    Our expert team ensured the automation of deployments with DevOps practices removing previous roadblocks.

    Bamboo — core tool for deployment and configuration. It enabled seamless integration with existing systems.
    Infrastructure as Code (IaC) principles for managing deployments
    Terraform for overseeing cloud environments
    Ansible for configuring virtual machines
    Packer for images preparation and unification
    Nexus Repository Pro for efficient handling of large volumes of product and development data.

    Monitoring and logging

    Our team prioritized monitoring and analyzing events with various tools for better reliability, performance, and security of the software system.

    Zabbix — to oversee physical hardware and communication channels and generate visual representations of the infrastructure’s condition.

    Logstash, Elasticsearch, and Kibana — to gather, store and analyze logs and product metrics.

    Grafana and Loki — to deliver up-to-date insights into developing applications and maintain ongoing monitoring.ur team prioritized monitoring and analyzing events with various tools for better reliability, performance, and security of the software system.

    Additionally, the team integrated the tool with messengers for alerts and notifications with the system’s current status and progress.

    Orchestration

    Kubernetes and VMware Tanzu were implemented to host and orchestrate containerized applications on virtual machines and physical hosts.
    This helped the team achieve centralized management, high availability, and level of performance. Additionally, these tools provide independence from cloud platforms and secure backup and recovery.

    Infrastructure

    Our experts applied hybrid cloud approaches for accessible and effective infrastructure solutions.

    VMware and Microsoft product stacks — for the private data center infrastructure to ensure the equipment’s fault tolerance
    Microsoft Azure — for hosting Windows applications
    Feedback channels from banking departments and end users — to improve product quality and implement immediate changes.

    Results and business value

    Our experts integrated DevOps strategies and helped to improve the customer’s development processes on different levels.

    Improved communication

    Efficient management

    Faster time-to-market

    10 times shorter mean time to recovery

    99.7% availability

    Effectiveness was considerably enhanced: the solution decreased the risk of flaws, enabled generation of logs, revert changes function, faster product delivery, and more effective planning, testing, and monitoring.

    Benefits for client

    Communication between stakeholders and IT departments was improved, management of digital solutions became efficient and predictable. The customer reached a faster time-to-market for their products.

    The solution boosted the customer’s metrics for critical systems: availability increased from 96% to 99.7%, and the average recovery time was reduced from 5 hours to 30 minutes.

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