Flagship Features
Core capabilities that define Stadli’s MVP and roadmap-ready foundation.
Web App / Website
A unified digital front door for teams and fans. Built PWA-first for speed and reach, with shared data and schema across platforms.
- Game Day Central with live content and offers
- Integrated sponsor surfaces and push notifications
- Built-in checkout for tickets, merch, and experiences
- Seamless fan identity across web and app
CRM / 360° Fan Profile
A single source of truth for every fan’s engagement, purchase, and activity history.
- Unified fan records from ticketing, merch, and web interactions
- Live segmentation for targeting and personalization
- Identity stitching and deduplication
- Real-time revenue attribution per fan
Campaign Engine & Playbooks
Automate fan engagement and revenue growth through proven, data-driven plays and dynamic campaigns.
- Prebuilt sports-specific campaigns and templates
- Goal-driven automations (e.g., “3-game pack conversion”, “flash merch drop”)
- Embedded checkout CTAs and personalized offers
- Performance tracking and revenue impact dashboards
Stadli Narratives & Analytics
Insights and actions that surface daily to keep teams aligned on performance and opportunity.
- Role-aware digest with contextual CTAs for GMs, Marketing, and Ops
- Custom dashboards with fan and revenue insights
- Stadli Web Tag for standardized, privacy-first event tracking
- Closed-loop attribution across campaigns, sales, and fan actions
Commerce & Ticketing
A unified commerce core powering all transactions — from tickets to merch to bundles.
- Native payment processing and secure checkout
- Unified ticketing and ecommerce interface
- Automated reconciliation via Tixr/Shopify webhooks
- Fan wallet and order history with refund management
1. Main Summary (Dashboard Home)
The central hub for quick, daily clarity and action.
Top KPIs Strip
- 7-day ticket revenue
- 7-day merch revenue
- DAU/WAU (web + app)
- Total fan records
Narratives Feed
- Short, human-readable stories (e.g. “Saturday ticket interest up 41% — launch a 3-pack”).
- Each card with one-click CTA to launch campaign or view segment.
- Role- & account-tailored CTAs and wording ensure relevance to GM/Marketing/Ops.
Next Best Actions Panel
- 2–3 actionable prompts (“Re-engage lapsed buyers,” “Boost campaign performance”).
- Actions are filtered by user role and team context.
Game Day Snapshot
- Tickets sold vs. capacity
- Quick weather glance
- One-tap game-day push
- Scope note (MVP): Sponsor activations and staff tasking are out-of-scope.
2. Team Content
Where staff manage the fan-facing experience (site + app).
Content Hub
- Auto-ingested news, videos, galleries, rosters, bios
Game Day Pages
- Schedules, standings, live feeds, ticket wallet links
Commerce Surfaces
- Merch collections, offers, sponsor placements
Brand & Identity Settings
- Logos, colors, layouts, and templates for site/app
- Dashboard brand guardrails: enforce accent limits and neutral CTAs across internal UI.
- Copy guardrails: Campaign Builder suggests on-brand text aligned to voice pillars.
7. AI/ML Core Libraries & Strategy
The AI/ML capabilities will be built on a focused stack of open-source libraries and best-in-class APIs, selected for performance and suitability for core MVP features.
Core Data Science Libraries
1. Pandas
- Function: Data ingestion, cleaning, transformation, and analysis foundation. Used across all data pipelines before modeling.
- Powers: Prerequisite for all data-driven features.
- GitHub: https://github.com/pandas-dev/pandas
2. Scikit-learn
- Function: Core machine learning toolkit for foundational models. Powers clustering for segment discovery, baseline propensity models, and content-based recommendation algorithms.
- Powers:
Stadli Signals, Smart Segmentation, Fan Hub Personalization (v1).
- GitHub: https://github.com/scikit-learn/scikit-learn
3. LightGBM
- Function: High-performance gradient boosting framework for building accurate propensity models on tabular fan data. Selected for its speed and efficiency.
- Powers:
Stadli Signals (high-intent segments), Stadli Power Plays.
- GitHub: https://github.com/microsoft/LightGBM
4. Dedupe
- Function: Specialized library for probabilistic record linkage and entity resolution. Used to merge and unify disparate fan profiles into a single 360° view.
- Powers:
Unified Fan CRM, Identity Resolution Panel.
- GitHub: https://github.com/dedupeio/dedupe
AI/ML Strategy & Approach
Generative AI & LLM Integration (API-First)
For features requiring advanced language understanding and generation, the platform will integrate with leading Large Language Model (LLM) providers via their APIs. This strategy ensures access to state-of-the-art capabilities while minimizing infrastructure overhead.
- OpenAI (GPT Models): Industry-standard for high-quality, creative, and instruction-following text generation. Powers
Stadli Narratives, generative campaign copy, and user assistance features.
- Google (Gemini Models): Powerful multi-modal models with strong integration into the Google Cloud ecosystem. Used as a high-performance alternative for generative tasks and future multi-modal features.
- Groq: Specialized inference engine for extremely high-speed, low-latency responses with open-source models. Powers real-time "AI helper" features, conversational interfaces, and other latency-sensitive applications.
Focus on Classical ML
The MVP will intentionally omit deep learning frameworks (PyTorch, TensorFlow) for internal model development. The core product challenges involve structured, tabular data, for which gradient boosting and classical ML models (LightGBM, Scikit-learn) are the superior and more efficient tools.
Transparency & Explainability (MVP)
- Confidence indicators surfaced with model-driven segments and scores.
- Simple rationale fields for segment membership and recommendations.