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Intelligent Ecommerce Platform

DoneDealion

A headless ecommerce experience combining conversational product discovery, behavior-aware recommendations, durable customer identity, and automated lifecycle communication.

Headless CommerceConversational AICustomer IntelligenceLifecycle Automation
Explore the system
The customer-facing entry point to the DoneDealion commerce platform.

The challenge

Building More Than an Online Store

Traditional ecommerce often shows the same journey to every shopper. DoneDealion was designed as a connected commerce ecosystem supporting discovery, customer continuity, personalized ranking, conversational assistance, checkout, support, and post-purchase communication.

Role
Product design, architecture, and implementation
Platform
Web commerce ecosystem
Commerce backend
WooCommerce
Primary interface
Next.js storefront

Customer-facing experience

The Storefront Experience

The storefront combines product browsing, category discovery, live inventory, product cards, promotions, and customer-facing entry points into a mobile-responsive commerce experience.

Product browsing, discovery, promotions, and customer entry points in one responsive storefront.

Product discovery journey

From Browsing to Product Discovery

Customers can move from categories and product pages into a search experience that understands natural-language shopping intent and returns products from the live catalog.

1

Browse by category

Browse by category
2

Refine through subcategories

Refine through subcategories
3

Search natural product intent

Search natural product intent
4

Evaluate the full product experience

Evaluate the full product experience

Behavioral intelligence

Why the Website Feels Intelligent

Shopping activity can help supporting services make later product suggestions more relevant, while the website remains clear about which experiences are personalized.

Browse

Search

View

Save

Add to cart

Checkout

Product-view and search behavior
Cart, wishlist, and category signals
Recent engagement and completed purchases
Popularity, persona, and intent context

Conversational commerce

Meet Mimi

Mimi is the customer-facing shopping assistant, helping customers explore the store, ask questions, and discover products through multilingual chat and voice interaction.

  • Conversational shopping guidance
  • Multilingual customer interaction
  • Voice input and spoken replies
  • Product discovery and live product cards
  • Answers to shopping questions
  • Guidance into structured support routes

Supporting context: Product intelligence and available customer context are provided by supporting backend services; Mimi remains the conversational interface.

Multilingual text and voice shopping connected to live store inventory.

Personalization experience

A Shopping Experience That Adapts

Supporting intelligence can make product suggestions and category ordering more relevant for known customers. Personalized and cross-recommendation experiences appear on selected shopping surfaces and continue to expand.

Known-customer context can influence ranked products and homepage category ordering.
A visible recommendation surface within the evolving personalization experience.

Shopping and checkout

From Intent to Checkout

The journey supports local cart state, guest and authenticated orders, saved customer details, address handling, and WooCommerce order creation.

Review the cart
Review products and quantities before checkout.
Confirm location
Confirm the delivery location on the checkout map.
Add shipping information
Complete the shipping-information form.

Customer account continuity

A Persistent Customer Experience

The account experience keeps profiles, preferences, saved addresses, wishlists, and order history available across shopping sessions, helping customers continue their journey without exposing the identity systems behind it.

Profile, preferences, and saved customer details.
Saved products persist with the customer account.
Past commerce activity remains available from the account.

AI-assisted support journey

From Conversation to Structured Support

Mimi identifies support intent and guides the customer into a structured route; it does not autonomously resolve a return or refund.

Question
Intent recognition
Complaint route
Structured case submission
The customer asks Mimi about returning an order.
Mimi routes the customer to the actual complaint-form page.

Behind the experience

Supporting Services

The DoneDealion Website is the customer-facing commerce experience. Four focused platform services support its conversational shopping, intelligent product experiences, account continuity, and purchase communication; their detailed engineering belongs in separate case studies.

DoneDealion AI Assistant

The website's supporting intelligence layer helps power product discovery, customer-aware shopping experiences, and intelligent recommendations. Its internal engineering is reserved for a dedicated service case study.

Supporting platform service · detailed case study separate

Mimi Chatbot

Mimi is the customer-facing conversational shopping assistant for multilingual chat, voice interaction, product guidance, and customer questions. Product intelligence and customer context come from supporting platform services.

Supporting platform service · detailed case study separate

Customer Account Ecosystem

The account platform maintains customer continuity across shopping sessions and signed-in experiences. It supports profiles, saved details, wishlists, and account access without making the website responsible for identity internals.

Supporting platform service · detailed case study separate

Email Handler

The communication service delivers transactional messages connected to the purchase journey, including order and payment updates. Delivery implementation is covered separately from the website experience.

Supporting platform service · detailed case study separate

Website ecosystem

How the Storefront Is Supported

Customers interact with the DoneDealion Website. Commerce and focused platform services support the experience behind the scenes without becoming the subject of this website case study.

Engineering challenges

Designing Across System Boundaries

Headless Commerce Experience

Creating a custom storefront around live WooCommerce products, customers, checkout, and orders.

Shopping Continuity

Helping guest and signed-in customers move smoothly through browsing, saved details, wishlists, and order history.

Relevant Product Experiences

Introducing personalized suggestions without making every shopping surface feel automated or opaque.

Responsive Checkout Journey

Keeping cart, location, shipping details, and order creation understandable across mobile and desktop.

Conversational and Voice Shopping

Making chat and voice guidance feel like part of the store rather than a separate technical demonstration.

Website technology

The Storefront Foundation

Customer interface

Next.js · React · TypeScript

Commerce platform

WooCommerce · WordPress

Connected experiences

REST APIs · Conversational and personalization services

Delivery

Docker · Nginx · Ubuntu VPS · Cloudinary

Verified capabilities

What Is Working Today

Responsive headless commerce experience
Live WooCommerce product discovery
Natural-language shopping search
Multilingual Mimi chat
Voice shopping guidance
Personalized product suggestions
Personalized category ordering
Cart and checkout journey
Guest and authenticated ordering
Profile and saved details
Wishlist and order history
Transactional purchase communication
Structured complaint routing

Next experience priorities

Designed to Keep Evolving

Future work focuses on making the customer journey more continuous, relevant, and helpful across the website.

01

Strengthen guest-to-account continuity

02

Expand personalized shopping surfaces

03

Improve Mimi page and cart context

04

Improve Mimi order guidance

05

Extend cross-recommendations

06

Refine mobile shopping journeys

Connected commerce

One evolving platform, from discovery to lasting customer context.

DoneDealion demonstrates how commerce, customer identity, behavioral intelligence, conversational interfaces, and lifecycle communication can work together.