Back to Case studies
// Case Study

Sports Findr AI-Powered Sports Venue Channel Mapping Platform Development

All case studies
// client engagement
Written by NextGen Coding Company Engineering Team — senior U.S.-based software engineers and solution architects
Technically reviewed by NextGen Principal Architect (AWS Certified Solutions Architect, 15+ yrs building production systems in fintech, healthcare, and tax technology)
Published Last updated

Client Background

Sports Findr partnered with NextGen Coding Company to develop a secure, cloud-based software platform designed to simplify sports venue channel mapping. Business owners managing multiple locations often face challenges identifying television channel availability across different cable providers and ZIP codes. Manual verification creates delays, inconsistent information, and unnecessary operational overhead.

Project objectives centered on delivering a production-ready application capable of supporting immediate business operations while remaining flexible enough to accommodate future growth. Administrative independence, secure authentication, subscription management, and AI-assisted channel verification represented essential business requirements throughout development.

The Problem

Sports venues frequently operate across multiple geographic regions served by different television providers. Channel numbers often vary depending on provider and location, creating ongoing maintenance challenges for businesses attempting to provide accurate viewing information.

Existing workflows required repetitive manual verification, increasing administrative effort while introducing opportunities for outdated information to remain available inside operational systems.

Several technical and operational objectives needed to be addressed simultaneously:

  • Secure administrative authentication

  • Multi-location venue management organized by ZIP code

  • Accurate channel listings for every subscriber location

  • AI-assisted channel verification

  • Subscription billing based on location count

  • Administrative control over venue overrides

  • Cloud deployment supporting production workloads

  • Long-term scalability without creating unnecessary operational dependencies

Platform architecture also needed to provide complete ownership and administrative control following project completion, allowing Sports Findr to manage operations independently without ongoing provider intervention.

Our Solution

NextGen Coding Company designed and developed a scalable cloud platform focused on usability, administrative flexibility, and intelligent automation. Every component aligned with business requirements documented during project planning while supporting future expansion.

Secure Platform Architecture

Development began with a complete backend architecture supporting secure authentication, subscriber management, venue configuration, payment processing, and administrative operations.

Application infrastructure utilized AWS Managed PostgreSQL, providing a reliable database environment capable of supporting production workloads while simplifying database management.

A structured database schema organized:

  • Subscriber accounts

  • Multi-location venue records

  • ZIP code mappings

  • Television providers

  • Channel listings

  • Administrative overrides

Careful schema planning established a foundation capable of supporting growing subscriber volumes without requiring architectural redesign.

AI-Powered Channel Mapping Engine

One of the platform's most significant capabilities involved development of an intelligent Channel Mapping Engine combining curated database information with AI-assisted verification.

Rather than relying exclusively on generated responses, NextGen implemented a structured three-step workflow designed to improve consistency.

Channel lookup followed a defined process:

Search existing channel mapping records inside PostgreSQL.

Verify information using a ChatGPT prompt when required.

Update curated channel mapping tables whenever new verified information became available.

Example verification prompts included location-specific questions such as determining ESPN channel availability for particular ZIP codes and providers.

Such architecture reduced duplicate work while continuously improving data quality as additional channel information entered curated storage.

Combining structured database records with AI-assisted verification balanced automation and operational accuracy, creating an efficient recommendation process suitable for production use.

Multi-Location Venue Management

Many Sports Findr customers manage numerous venues operating across different markets.

NextGen developed a flexible venue management system allowing subscribers to organize locations according to ZIP code while maintaining individual channel listings for every venue.

Administrative workflows included:

  • Multi-location venue configuration

  • ZIP code organization

  • Channel listings by location

  • Subscriber-specific channel records

  • Venue override capabilities

Administrative overrides provided internal teams with direct control whenever channel information required adjustment.

Rather than depending upon engineering resources for routine updates, administrators could manage business-specific exceptions through a dedicated interface.

Operational independence remained a central project objective throughout development.

Subscription Billing Integration

Revenue generation required flexible subscription management tied directly to customer usage.

NextGen integrated Stripe to support recurring subscription billing based on venue count.

Payment functionality included:

  • Subscription plan configuration

  • Trial management

  • Webhook implementation

  • Automated payment workflows

Integration between frontend payment experiences and backend billing logic simplified customer onboarding while supporting recurring revenue operations.

Webhook management also ensured subscription events remained synchronized throughout platform workflows.

Administrative Control

Administrative flexibility represented another major business requirement.

NextGen developed a dedicated administrative interface allowing Sports Findr personnel to manage platform operations internally.

Administrative capabilities included:

  • Venue overrides

  • System updates

  • Internal platform management

  • Operational configuration

Complete administrative ownership transferred to Sports Findr following project completion, supporting independent operation without restrictive provider dependencies.

Such ownership aligned with broader project goals emphasizing long-term business autonomy.

User Experience Design

Platform usability remained intentionally straightforward.

Dashboard design focused on presenting AI-generated recommendations without unnecessary interface complexity.

Frontend functionality included:

  • Simple administrative login

  • Clean dashboard presentation

  • Recommendation display

  • Payment interface

  • Location management

Reducing interface complexity helped administrators locate relevant information quickly while minimizing onboarding requirements.

Every user interaction prioritized operational efficiency over unnecessary visual complexity.

Quality Assurance and Production Deployment

Reliable production software requires comprehensive validation before launch.

Quality assurance activities covered multiple functional areas throughout development.

Testing included:

  • GPT output spot checks

  • Authentication flow verification

  • Channel mapping sample validation

  • Regression testing

Following successful validation, deployment occurred using AWS Managed PostgreSQL, preparing the application for production use.

Quality assurance efforts helped verify platform stability while reducing deployment risk across authentication, AI-assisted recommendations, database functionality, and administrative workflows.

Results

Phase 1 delivered a fully functional production platform designed for immediate operational use while supporting future expansion.

Major outcomes included:

  • Secure cloud-based platform deployment

  • AI-assisted channel mapping workflow

  • Multi-location venue management organized by ZIP code

  • Intelligent channel verification combining curated database records with ChatGPT

  • Flexible subscription billing through Stripe

  • Administrative control over venue overrides

  • Production-ready backend architecture

  • Structured database supporting subscriber-specific channel mappings

  • Comprehensive authentication workflows

  • Quality-assured deployment following regression testing

Project architecture also positioned Sports Findr for continued growth without creating mandatory maintenance contracts or operational lock-in.

Complete ownership of software, documentation, workflows, administrative access, and platform logic transferred to Sports Findr following project completion, supporting independent long-term platform management.

Why It Matters

Modern SaaS platforms increasingly depend upon intelligent automation while maintaining operational control, scalability, and business independence.

Sports Findr required more than an application capable of displaying channel information. Business success depended upon creating reliable operational workflows combining structured data, AI-assisted verification, subscription management, secure authentication, and administrative flexibility.

NextGen Coding Company delivered an architecture supporting immediate production use while establishing a scalable foundation for continued business growth.

Careful attention to backend architecture, cloud deployment, AI integration, administrative ownership, and payment infrastructure produced a solution capable of supporting evolving operational requirements without introducing unnecessary technical complexity or provider dependency.

Such an approach enables organizations to adopt AI responsibly while preserving transparency, administrative oversight, and long-term maintainability.

// case study faq

Frequently asked questions

What did NextGen actually build in this engagement?
NextGen designed and shipped a production system end to end: architecture, data model, application code, integrations, security review, and deployment. A senior U.S.-based team owned delivery from discovery through launch, and the client kept full ownership of the codebase and cloud accounts.
How long does an engagement like this take?
Most engagements of this shape run eight to sixteen weeks from kickoff to production. A discovery and architecture sprint takes two to three weeks, the first working release lands around week six, and the remaining time covers hardening, integrations, and rollout support.
What technologies were used?
This engagement was delivered with React, AI, Data Integration. A senior U.S.-based team owned the architecture and the implementation, and the client kept full ownership of the codebase and cloud accounts.
Can NextGen deliver a similar outcome for us?
Yes. We start with a paid discovery sprint that produces an architecture, a scope, and a fixed price or a staffed team plan. From there you can proceed with a fixed-scope build or a dedicated team. Book a call and we will scope your project against this case study.
// let's build something

Start your project request

Tell us what you're building — engineering capacity, AI, QA, cloud, or a fixed-scope software engagement. Our NYC team responds within one business day.

// what to expect
  • Response within 1 business day
  • 30-minute discovery conversation
  • Recommended engagement model & pricing
  • NYC-focused — in-person available
Start Project Request

Inbound sales only. All form information is encrypted in transit.