Hey there! Nathan here! I’m a Solutions Architect at Trams, and I’d love to share a groundbreaking automation project we worked on. If you’re in e-commerce or the retail industry, this one’s definitely for you!
At Trams, we partnered with an AI automation company to help a retail brand improve their pricing strategy. They were struggling with manual price tracking, which slowed down their ability to react to competitor price changes. To help them stay ahead, we built an AI-powered automation system that made price tracking seamless, saved valuable time, and optimized their profits.
Background
Our client sells their products on their own website as well as on popular marketplaces like Amazon and eBay. The retail and eCommerce markets are highly competitive, with prices constantly changing. Manually adjusting prices was inefficient and resulted in lost sales or unintentional price drops that reduced their profit margins.
Problem Statement
The retail brand needed a system that could:
- Keep them ahead of their competitors by adjusting prices in real-time.
- Maximize their profits while still offering competitive prices.
- Automate the entire pricing process to eliminate the hassle of manual tracking.
Without a smart and fast pricing system, they risked either overpricing and losing customers or underpricing and hurting their profit margins.
Solution
To address these issues, we developed an AI-powered pricing automation system that:
- Tracks competitor prices in real-time using web scraping technology.
- Uses AI algorithms to determine the best possible pricing strategy.
- Automatically updates prices on their website and on platforms like Amazon and eBay.
- Sends personalized notifications to customers about discounts and special deals.
Implementation
Step 1: Real-Time Competitor Price Tracking
We built a custom Python web scraper that continuously monitors competitor prices and updates the data in real-time.
Step 2: AI-Powered Pricing Strategy
Our AI-driven model analyzes the market, applies pricing formulas, and generates recommendations for the business team to approve before implementation.
Step 3: Automated Price & Stock Updates
Once the pricing is approved, AI automatically updates product prices and stock availability. Since our client has more than 1,000 products, we optimized the system to update only the products that changed, making the process much faster.
Step 4: Smart Customer Notifications
AI generates personalized messages informing customers about special promotions and deals. These notifications are sent through WhatsApp, SMS, and Telegram to ensure customers never miss out on great offers.
Step 5: Multi-Platform Price Synchronization
To maintain consistency, AI syncs the updated pricing across all platforms, including Amazon, eBay, and other marketplaces.
Tech Stack
- Python → Web scraping and data processing
- AI APIs (Claude, Gemini, OpenAI) → Pricing optimization and customer messaging
- Node.js → Real-time price and stock updates
Results
✅ No more manual tracking—everything is automated.
✅ Faster pricing adjustments = increased sales and better profits.
✅ More time for business growth instead of constantly updating prices.
✅ Cost-effective—after the initial setup, only server computing costs remain.
While it’s still early to measure long-term sales impact, the brand is already ahead of its competitors when it comes to pricing agility.
Conclusion
This project proves that AI and automation aren’t just fancy tech add-ons; they are essential tools for modern businesses. If you’re still manually adjusting prices or tracking competitors one by one, you’re already lagging behind.
Looking to stay ahead of the competition? Let’s connect! At Trams, we craft solutions that automate, optimize, and scale businesses for success. Get in touch today and future-proof your growth!
