Metaviz AI
E-commerce & Retail Mobile App

AI-Enhanced BigCommerce App: Elevating Online Retail Through Smart Automation

BigCommerce Online Store App

A high-performance ecommerce app with AI search, recommendations, and personalized merchandising.

Overview

A shopping app for BigCommerce stores, built in Flutter so one codebase runs on both iOS and Android. It plugs into the store a retailer already has, and takes on the parts that eat the day: what each shopper is shown, what stock is left, and what a thing should cost.

It covers the whole span, from finding a product to reading what buyers said afterwards. Shoppers can search by voice, see suggestions built on what they bought before, and get prices that move with demand. The shop keeps working the way it did - it just does more of the thinking itself.

BigCommerce Online Store App - project overview
- Relevant keywords -
  • AI-Enhanced BigCommerce App
  • Flutter e-commerce
  • Smart product recommendations
  • Dynamic pricing engine
  • Voice-enabled search
  • Predictive inventory management
  • Mobile commerce solution
  • BigCommerce integration
  • Cross-platform shopping app
  • Real-time order management
Challenge & Solution

Solving real problems with smart engineering

Generic Recommendations

Problem

Generic product suggestions that didn't match user preferences.

Solution

Smart Product Recommendations - The app suggests products based on user history and preferences to increase relevance and engagement - behavior-based recommendation system integrated into the Flutter frontend.

Inaccurate Forecasting

Problem

Inventory mismanagement from poor demand prediction.

Solution

Predictive Inventory Control - Tracks and forecasts inventory needs based on sales trends and customer behavior - helping merchants avoid stockouts and overstock.

Limited Search

Problem

No voice or smart input options for product discovery.

Solution

Voice & Natural Language Search - Shoppers can search using natural text or voice - improving accessibility and reducing friction in product discovery.

Static Pricing

Problem

Pricing models that ignored market changes and competitor activity.

Solution

Dynamic Pricing Engine - Product prices adjust automatically in response to demand, trends, and competitor pricing - keeping merchants competitive and profitable.

Manual Feedback Analysis

Problem

Difficulty analyzing customer feedback at scale.

Solution

Customer Sentiment Insights - Analyzes product reviews and feedback to help merchants refine their offerings and respond faster to issues.

Feature Showcase

A closer look at BigCommerce Online Store App

tap any screen to zoom

01 · Address
02 · Location
03 · My Profile
04 · Cart
05 · Login
06 · Searching
07 · Sign Up
08 · Checkout
09 · Product Detail
10 · Search Result
11 · Profile
01 · Address
02 · Location
03 · My Profile
04 · Cart
05 · Login
06 · Searching
07 · Sign Up
08 · Checkout
09 · Product Detail
10 · Search Result
11 · Profile
Tech Stack

Built with

Frontend

  • Flutter - single codebase for iOS and Android
  • Designed in Figma, implemented with Flutter widgets for smooth navigation

Backend

  • BigCommerce API - seamless catalog, inventory, and order integration
  • Real-time cloud data processing for live updates

AI Engines

  • Custom recommendation engine for personalized product discovery
  • Predictive inventory forecasting and dynamic pricing engine
  • Sentiment analysis on product reviews and feedback

Search & Voice

  • Natural language processing for typed queries
  • Voice input tools - hands-free product search and navigation
Results & Value

What actually changed

01Headline outcome
75%User SatisfactionShoppers rated the experience positively - citing ease of use and smart features.
02
60%
Repeat VisitsPersonalized recommendations and faster product discovery kept users engaged.
03
45%
Higher AOVCross-selling and relevant suggestions drove larger carts and average order value.
04
Auto
Less Manual WorkAutomated inventory and pricing allowed store managers to focus on growth instead of routine tasks.

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