MM AI – Precision Price Optimization & Inventory Intelligence
Empowering growth through personalized digital learning.
Summary
MM AI is a sophisticated price recommendation and inventory management ecosystem engineered specifically for Mobile Monster. The platform bridges the gap between historical data and real-time market shifts, leveraging a custom AI Brain to optimize profit margins and streamline high-volume trade operations.
Location
USA
Industry
EdTech
Platform Type
Web-based SaaS
Duration
7 Months
The Challenge
Managing a large-scale mobile trade-in and resale business requires balancing fluctuating market prices with internal inventory levels. Mobile Monster needed a way to:
1. Sync Fragmented:
Unify purchase data from Bubble and sales data from Shopify.
2. Monitor Competitors:
Track real-time price changes across the market.
3. Maximize Profitability:
Move away from manual pricing to a data-driven model that targets a consistent ~28% profit margin.
Our Approach
1. Data Synthesis & Multi-Platform Integration
We developed Data Senses, a core module that acts as the system's central nervous system, connecting three vital data streams:
- Internal Inventory (Bubble): Real-time access via custom, designed APIs to track every device purchased.
- Sales Performance (Shopify): Integration with Shopify APIs to pull historical and current sales data
- Market Intelligence (Scraper): A specialized scraper that monitors competitor pricing for specific device models.
2. The AI Brain & Predictive Logic
The heart of the project is a machine learning engine that correlates internal inventory with external market trends.
- Historical Pattern Tracking: The system logs data daily (e.g., inventory levels and rates on specific dates) to generate comprehensive growth and turnover graphs.
- LLM-Powered Insights: Utilizing LLM APIs and custom ML models, the "Brain" analyzes supply and demand to predict which devices require price adjustments.
- Automated Recommendations: The AI suggests whether to maintain, increase, or decrease rates for specific stock to ensure optimal velocity and margin.
3. Strategic Visualization & Feedback Loop
To ensure the tool remained a "strategic lever" for the team, we built:
- Robust Dashboards: A full suite of graphs and visualizations that allow the Mobile Monster staff to see AI-driven recommendations at a glance.
- One-Click Implementation: Users can approve or reject AI suggestions with a single click.
- Reinforcement Learning: The system requires a reason for every approval or rejection. This feedback is fed back into the database, allowing the AI to learn user preferences and improve the logic of future runs.
- Optimized pricing strategies designed to secure the client's targeted net margins.
- Rapid response to competitor price drops or hikes through automated historical tracking.
- Reduced the time spent on manual inventory analysis through a centralized, robust platform.
- An AI system that grows more accurate with every user interaction, ensuring long-term scalability.
Impact Delivered
What our clients say about us
Muhammad and his team of Bubble engineers have been fantastic. Not only were they delivering quality work, but they took the time to understand our business and our problem/solution spaces and ensure they were thought partners throughout in order to develop the right solution for our problems. Highly recommend their team for Bubble development.
