AI-Enhanced BigCommerce App: Elevating Online Retail Through Smart Automation
By combining real-time insights with thoughtful design, the app enhances the customer browsing, purchasing, and interaction experience with online stores. With features like tailored recommendations, voice-activated search, and dynamic pricing, it transforms a basic storefront into a smart shopping companion, built to support long-term business growth.
Why BigCommerce Chose Metaviz AI
Personalized Product Discovery
To help customers find what they love faster, the app analyzes browsing habits and suggests items they’re more likely to purchase. This improves product visibility and increases conversion rates.Step 1Smarter Inventory Management
The app monitors stock levels and predicts demand using trends and customer behavior, reducing the chances of overstocking or running out of popular items.Step 2Seamless Cross-Platform Access
Flutter was used to develop a consistent user experience on both Android and iOS, cutting down development costs and time while maintaining high performance.Step 3Hands-Free Product Search
Natural language processing allows users to search for products using voice or typed queries, simplifying the shopping process.Step 4Real-Time Pricing Updates
The app adapts pricing dynamically based on changing market conditions, customer demand, and competitor activity, helping sellers stay competitive and profitable.Step 5
Challenges: Gaps in Traditional eCommerce Operations
Before the app, BigCommerce merchants struggled with common retail issues that affected growth and customer satisfaction:
- Generic product suggestions that didn’t match user preferences
- Inaccurate forecasting leading to inventory mismanagement
- Limited search functionality with no voice or smart input options
- Static pricing models that ignored market changes
- Difficulty analyzing customer feedback at scale
The goal was to create an app that could not only solve these problems but also enhance user experience and streamline backend operations.
Solutions: Metaviz AI Delivered a Future-Ready Shopping App
The MVP delivered by Metaviz AI addressed every key issue and laid the foundation for a smarter eCommerce experience.
Smart Product Recommendations
Functionality: The app suggests products based on user history and preferences to increase relevance and engagement.
Tech Stack: Behavior-based recommendation system integrated into the Flutter frontend.
Predictive Inventory Control
Functionality: Tracks and forecasts inventory needs based on sales trends and customer behavior.
Voice & Natural Language Search
Functionality: Shoppers can search using natural text or voice, improving accessibility and reducing friction.
Dynamic Pricing Engine
Functionality: Product prices adjust automatically in response to demand, trends, and competitor pricing.
Customer Sentiment Insights
Functionality: Analyzes product reviews and feedback to help merchants refine their offerings.
Address
Location
My Profile
Cart
Login
Searching
Sign up
Checkout
Product Detail
Search Result
Profile
Tech Stack & Implementation
To ensure optimal performance and flexibility, Metaviz AI selected tools and frameworks that support real-time updates, smart features, and a consistent user experience.
- Frontend: Flutter (for both Android & iOS)
- Backend: BigCommerce API, real-time cloud data processing
- Search & Voice: NLP and voice input tools
- AI Features: Custom-built engines for product recommendations, inventory forecasting, sentiment analysis, and pricing
- UI/UX: Designed in Figma and implemented using Flutter widgets for smooth navigation and user interaction
This stack allowed for a robust MVP that performs reliably and enhances every touchpoint of the user journey.
Measurable Results & Performance Boost
Following the launch of the MVP, retailers using the AI-Enhanced BigCommerce App saw immediate and noticeable benefits:
- 3x Higher Engagement: Personalized shopping and voice-enabled search led to increased time spent in the app
- 89% First-Month Retention Rate: A smoother shopping flow kept users coming back
- 30% More Accurate Inventory Planning: Forecasting reduced out-of-stock issues and minimized overstock
- 2x Faster Product Discovery: Smart search and tailored recommendations helped users find products more efficiently
- Higher Conversion Rates: Competitive pricing strategies boosted completed checkouts
The app proved to be more than a storefront—it became a reliable retail tool that supports smarter decision-making and better customer service.
Looking Ahead: What’s Next for the App
To continue evolving and delivering even more value, the roadmap includes:
- Multilingual Interface: Expanding to global markets with support for localized content
- Push Notifications with Smart Timing: Use behavior-based triggers for personalized notifications
- Integration with Marketing Tools: Connect with CRM and email platforms for improved outreach
- Analytics Dashboard for Merchants: Let sellers track product performance and customer trends in real time
- In-App Promotions Engine: Automate flash sales and personalized discount campaigns
The app’s architecture supports these enhancements without disrupting existing performance, ensuring it’s ready to scale as demand grows.
Modern Design
User-friendly interface enhances navigation and engagement.
Custom Fonts
Tailored typography boosts readability and visual appeal.
Easy to Customize
Flexible design adjusts to evolving business needs.