🧾 Client Overview
A forward-thinking shoe manufacturing and retail brand approached Linea Digitech with a bold ambition: to transform the traditional e-commerce model into an AI-powered bid-and-ask marketplace, allowing customers to buy and sell shoes dynamically—similar to stock trading platforms.
To make this work, they needed AI-generated product listings that would automatically create accurate, engaging listings for every new shoe release, variation, and restock—reducing manual effort and boosting speed to market.
🎯 Challenge
The client wanted to disrupt their own direct-to-consumer and resale channels by creating a peer-to-peer dynamic pricing marketplace, but faced several challenges:
- Manually listing thousands of shoe SKUs across sizes, styles, and colors was resource-intensive and error-prone
- Traditional pricing models lacked real-time demand sensitivity
- The client needed a system that was scalable, intuitive, and fully integrated with inventory, payments, and customer insights
- The brand also wanted to offer personalized experiences to buyers and sellers while ensuring quality control
💡 Solution: AI-Driven Dynamic Shoe Marketplace with Bid-and-Ask Pricing
Linea Digitech designed and developed a full-featured AI-powered digital marketplace where customers could place bids to buy and asks to sell footwear, while the platform automatically generated listings using machine learning, handled intelligent matching, and provided real-time market signals.
🔑 Core Features Delivered
1. 💸 Bid-and-Ask Trading Engine
- Customers place bids (buy offers) or asks (sell listings) on each shoe model and size
- When a bid and ask match, the transaction is triggered automatically
- Real-time trade dashboard shows current market activity and price history
2. 🧠 AI-Generated Product Listings
- AI scrapes and parses internal product data (SKU, style, materials, colorways)
- Generates:
- Optimized product titles and descriptions
- Style highlights and storytelling (e.g., “Built for the city streets with all-day comfort”)
- Size availability, image tags, and fit notes
- Reduces manual input by 90%, enabling instant go-to-market for new releases
3. 📸 Image Recognition for Sellers
- Sellers can upload a photo of the shoe
- AI identifies the model, matches it to a listing, and auto-fills details
- Supports used and new condition grading with image-based quality estimation
4. 📊 Market Insights Engine
- AI tracks and visualizes:
- Bidding trends by region
- Supply-demand gaps
- Price volatility and value forecasts
- Recommends ideal listing prices and bid amounts based on real-time data
5. 🛒 Inventory & Order Sync
- Integrates with the brand’s inventory management system
- Automatically updates stock status based on fulfilled orders and incoming seller listings
6. 📱 Buyer/Seller UX
- Easy-to-use mobile-first interface
- Smart notifications for price matches, drops, and trend alerts
- Built-in wallet and escrow system for safe transactions
🛠️ Tech Stack
- Frontend: React.js, Tailwind CSS, Next.js
- Backend: Node.js, Express.js, WebSocket APIs for live price feeds
- AI/ML: Python, spaCy, OpenCV, GPT-3.5 for content generation
- Image Processing: TensorFlow Lite for on-device image classification
- Database: PostgreSQL (relational), Redis (cache), ElasticSearch (search)
- Hosting: AWS (EC2, Lambda, S3), Docker, CI/CD via GitHub Actions
- Payments: Stripe and Razorpay with built-in escrow logic
📈 Results & Business Impact
Within 4 months of launch:
- 📦 12,000+ product listings auto-generated by AI
- ⏱️ Reduced manual cataloging workload by 90%
- 📊 38% increase in sales velocity through bid-and-ask pricing
- 📉 Reduced dead stock in slower-moving models by enabling customer-led pricing
- 🔄 Repeat seller rate increased by 45%, thanks to simplicity and mobile-friendly listing experience
