SmartCommerce.AI – Shopify Store with Custom AI Chatbot, Advanced Features & Mobile App need Mobile App Development
Contact person: SmartCommerce.AI – Shopify Store with Custom AI Chatbot, Advanced Features & Mobile App
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Location: Lucknow, India
Budget: Recommended by industry experts
Time to start: As soon as possible
Project description:
"We are developing [login to view URL], a futuristic eCommerce platform built on Shopify, selling smart lifestyle gadgets and wearable tech. The key differentiator of this project is the integration of Generative AI chatbots that will offer natural, intelligent conversations with shoppers, helping them choose the right product, troubleshoot issues, get order updates, and even receive tailored recommendations.
This project includes:
A custom Shopify theme tailored to a high-tech brand aesthetic
Feature-rich Shopify store functionalities
AI Chatbot powered by Generative AI (e.g., OpenAI, Cohere, Google PaLM)
iOS and Android apps that offer the same smart assistant experience
We are specifically looking for AI engineers and chatbot developers who have experience with LLM-based solutions, Shopify integrations, and cross-platform mobile app development.
Project Goals:
Build a high-performance, conversion-optimized Shopify store.
Develop a custom generative AI chatbot assistant that handles 70–80% of user queries intelligently.
Provide a consistent user experience on web and mobile via real-time API sync.
Create a tech-forward shopping experience that stands out in the market.
Shopify Web Requirements:
Custom Theme Development:
Sleek, futuristic UI/UX design
Built from scratch (not template-based)
Animations & transitions (micro-interactions, hover effects)
Fully mobile responsive
Core Features:
Dynamic Product Recommender (based on user intent captured via chatbot or search)
Tech Specs Filter System (compare smart gadgets easily)
Subscription + One-Time Purchase options
Multi-currency and Multi-language support
AI-driven Product Quiz (via chatbot + form fallback)
Abandoned Cart Assistant (AI-powered): follow-up via email/chat
Live Inventory Updates per location
Advanced Search with NLP (e.g., "Show me smartwatches under ₹5,000 with sleep tracking")
AI Chatbot Scope (Main USP):
Purpose:
The AI chatbot will serve as:
Shopping Assistant: Helps users find the right products
Customer Support Bot: Order status, refund policies, troubleshooting help
Knowledge Assistant: Answers questions from store CMS (blogs, FAQs, manuals)
Personal Stylist/Advisor: Tailors recommendations based on user preferences
Voice Assistant (Optional): Allow users to interact via voice commands on the mobile app
AI Capabilities:
Built on OpenAI GPT-4 / Cohere / LLaMA / Google Gemini
Uses RAG (Retrieval-Augmented Generation) to fetch product & FAQ data
API-based Shopify integration (product catalog, orders, customer data)
Conversational memory to handle multi-turn queries
Contextual fallback to human agent (via Gorgias/Intercom)
Multilingual capability (English, French, Arabic – extendable)
Training Data:
Internal knowledge base (FAQs, product docs, blogs)
Shopify store data (real-time via API)
CRM/ERP (for order lookup, optional)
Security:
GDPR compliant
Token-based access to customer data
Anonymization of sensitive info before LLM processing
Mobile App (iOS + Android):
Stack:
Flutter / React Native
Connected via Shopify Storefront API and AI chatbot APIs
Push notifications, one-click reorders, real-time order tracking
Voice/chat AI assistant inside app
Scan a product box to trigger help from AI (vision-based in later phase)
Integrations:
Payment: Stripe, Razorpay, Apple Pay, Google Pay
AI Backend: OpenAI / Cohere / custom model hosted on AWS/GCP
CMS: Shopify Blog, Help Docs (for RAG ingestion)
CRM: Klaviyo / Gorgias
Zapier / Make (for minor automations)
Deliverables:
Fully customized Shopify store (theme + backend)
Fully functional AI chatbot (live on website + apps)
Native iOS & Android apps with chatbot built-in
Admin panel to update chatbot content & tune LLM prompts
Documentation, API keys, Figma files, SOPs
Deployment scripts & post-launch support package" (client-provided description)