ShopperQuest: In-Store Gamified Inventory Hunt

Core Functionality

• AR Scavenger Hunt: Employees scan QR codes or use AR markers on shelves to locate items and complete quests.
• Real‑time Inventory Sync: The game pulls live inventory data via REST APIs and updates the backend as tasks are completed.
• Performance Dashboard: Managers view real‑time stats, skill progression, and error rates in a web console.
• Gamified Rewards: Points, badges, and leaderboard challenges incentivize quick, accurate restocking.
• Cross‑Device Play: Mobile devices (iOS/Android) for staff; desktop dashboard for managers.
• Customizable Quest Templates: Owners can design quests around promotions or new product launches.

Problem It Solves

Small retailers often struggle with inaccurate inventory, slow onboarding of new hires, and low employee engagement during routine stocking tasks. Traditional spreadsheets or manual checks are error‑prone and tedious, leading to stockouts, overstock, and higher labor costs.

Technical Requirements

• Unity 2025: Core game engine for cross‑platform mobile builds.
• AR Foundation / Vuforia: Marker/QR code detection for AR interactions.
• RESTful API (Node.js + Express): Backend to manage inventory, quests, and user data.
• MongoDB Atlas: Scalable NoSQL database for real‑time updates.
• WebSocket (Socket.IO): Live sync between mobile clients and manager dashboard.
• Firebase Authentication / OAuth2: Secure login for staff and owners.

Monetization Strategy

1. Subscription Model: Monthly fee per store location ($29/month) for full features, API access, and priority support.
2. Freemium Tier: Limited quest slots and basic dashboard for up to 5 employees.
3. In‑App Purchases: Premium quest packs (e.g., seasonal promotions) and cosmetic rewards for staff avatars.

Implementation Approach

1. Prototype Phase (4 weeks)

• Build core Unity AR scene with QR code scanning.
• Set up Node.js server and MongoDB schema.

1. MVP Development (8 weeks)

• Integrate real‑time inventory sync via WebSocket.
• Develop manager dashboard using React.
• Implement basic quest creation UI for owners.

1. Beta Testing (4 weeks)

• Deploy to a handful of local retailers.
• Collect feedback on UX, accuracy, and performance.

1. Polish & Launch (2 weeks)

• Add gamification elements (points, badges).
• Finalize subscription billing integration.

1. Post‑Launch Support

• Monitor server metrics; scale MongoDB as needed.
• Release quest pack marketplace.

Potential Challenges

• AR Marker Reliability: Poor lighting or occlusion can hinder scanning.
• Solution: Offer fallback QR codes and train staff on optimal scanning angles.
• Real‑time Sync Latency: Network hiccups could desynchronize inventory data.
• Solution: Implement optimistic UI updates with conflict resolution logic; use local caching.

Future Expansion

• AI‑Driven Quest Suggestions: Use machine learning to auto‑generate quests based on sales trends.
• Multi‑Store Collaboration: Allow chain owners to share quest templates across locations.
• Voice‑Enabled Commands: Integrate Alexa/Google Assistant for hands‑free inventory checks.
• VR Training Modules: Offer immersive onboarding experiences for new hires.