Scheduling App for Tennis Court Management

The Client

📍Gurgaon, India

The Client is a facility management services provider managing most of the posh society in Gurgaon and Delhi.

*Due to NDA policy, the name of the client has not been disclosed.

Overview

Client Challenges:
The client, a tennis facility, struggled with operational inefficiencies that led to dissatisfied customers and revenue losses.

  • Real-Time Availability Issues: Customers were frustrated by the lack of a system to check real-time court availability, leading to frequent calls and manual coordination.
  • High No-Show Rates: Late cancellations and no-shows disrupted scheduling and caused underutilization of resources.
  • Time-Consuming Processes: Manual bookings through phone or in-person interactions often resulted in double bookings, operational delays, and customer complaints.
  • Inefficient Pricing and Resource Management: Static pricing models and a lack of data analytics prevented optimized court usage and profitability.

Jina Code Systems’ Contribution:
Our AI-powered scheduling solution revamped the booking process, integrating dynamic pricing, real-time notifications, and mobile app features to ensure seamless operations, reduced no-shows, and enhanced user satisfaction.

Business Requirements

  • Real-Time Availability

  • User-Friendly Interface

  • No-Show Mitigation

  • Data-Driven Optimization

Our Approach

AI-Driven Scheduling System

We implemented an intelligent scheduling tool that provides real-time updates on court availability, eliminating manual checks and double bookings.

Mobile Application Integration

A custom mobile app was developed, offering features like instant booking confirmations, reminders, and easy rescheduling. This enhanced the user experience and minimized operational workload.

Dynamic Pricing Model

We introduced variable pricing based on demand patterns. Courts in high demand were priced higher, ensuring optimal resource utilization and increased revenue.

No-Show Management System

Penalties were implemented for no-shows, along with automated rescheduling options to ensure better usage of vacant slots.

Advanced Data Analytics

Integrated analytics helped the client track usage trends, identify peak times, and optimize resource allocation, paving the way for strategic decision-making.

Project Result

  • Image 1
    85%
    Reduction in No-Shows
  • Ui&ux ready
    70%
    Increase in Customer Satisfaction
  • 100% no code
    40%
    Revenue Growth

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  • Streamlined Operations

    Automated scheduling reduced manual errors and time spent on bookings by 90%.

  • Scalability Achieved

    The solution was designed to be adaptable, allowing seamless integration into other sports and recreational facilities.

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