Sports Software Development
Score high with AI and Machine Learning
AI and sensor technology combined has the potential to enhance players’ technique and create personalized training regimes for players. Emerging tech applications enable sportspersons to take the right action at the right time.
AI and Sports
In-Game Strategy
- Identify how to compete with the opponent
- Improve a team’s starting lineup
- Decide optimal game strategy, including defensive positioning
- Refine and execute a plan based on real-time events
Player Performance
- Assess trading options
- Predict and stop injuries
- Target relevant offers
- Improve player development by offering feedback to coaches and players
Ticketing
- Price tickets optimally
- Predict game audience/ticket sales
- Find the season when ticket holders are likely to churn and the reason behind it
- Predict potential season ticket holders
“Narrative Science survey reports that 58% of enterprise business executives are already using predictive analytics within their organizations.”
Use Cases
Using AI and ML, sports organizations can use the collected data to enhance every aspect of their operations. Organizations leverage predictive analytics to make strategic changes and targeted decisions from ticket sales to player performance.
Player Development
With AI, a team can have the ability to evaluate the value of a player. They can leverage the information about players to prepare a training strategy for every player that maximizes the future value of players. Also, with insights gathered from AI, organizations provide feedback on the player’s practice or game performance. Players can learn how to improve and what they are doing with that information.
Venue Operations
Using historical information, including the type of event, ticket prices, weather and attendance, sports organizations can identify the high-revenue generating events. AI-based applications would help them predict event attendance so that they could decide food and merchandise purchases, determine staffing and the price for each seat.
Season Ticket Churn
It is less expensive to retain existing season ticket holders as compared to acquiring new ones. Implementing AI and Machine Learning can help sports organizations identify which season ticket holders won’t renew early, find the key reasons and improve strategies to retain them.
Pricing
Using historical information, including the type of event, ticket prices, weather and attendance, sports organizations can identify the high-revenue generating events. AI-based applications would help them predict event attendance so that they could decide food and merchandise purchases, determine staffing and the price for each seat.
Our Work in Sports Software Development
Entertainment and Sports Network
ESPN: Glossy brochures converted into an iPad app
LeewayHertz built an iPad app solution that allowed completely customized and personalized collateral to be in ESPN’s prospects’ inboxes in seconds — from anywhere, anytime. The solution we built was so well-received that ESPN decided to expand the app’s availability from internal-use-only at ESPN, to publicly.
Our Engagement Models
Dedicated Development Team
Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.
Team Extension
Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.
Project-based Model
Our project-oriented approach, supported by our team of software development specialists, is dedicated to fostering client collaboration and achieving specific project objectives.
Get Started Today
1. Contact Us
Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.
2. Get a Consultation
Get on a call with our team to know the feasibility of your project idea.
3. Get a Cost Estimate
Based on the project requirements, we share a project proposal with budget and timeline estimates.
4. Project Kickoff
Once the project is signed, we bring together a team from a range of disciplines to kick start your project.
Start a conversation by filling the form
Once you let us know your requirement, our technical expert will schedule a call and discuss your idea in detail post sign of an NDA.
All information will be kept confidential.
Insights
Supervised machine learning: Types, use cases, applications, operational mechanics, techniques and implementation
Supervised learning is a machine learning approach where a model is trained using labeled data to make predictions or classify new, unlabeled data.
AI detectors: Use cases and technologies
An AI detector generally refers to a system or tool that employs artificial intelligence to identify, analyze, or predict specific patterns, anomalies, or behaviors within a dataset or environment.
What is explainable AI? Use cases, benefits, models, techniques and principles
Explainable AI refers to a collection of processes and techniques that enable humans to comprehend and trust the outputs generated by machine learning algorithms.
