🏁 New case study: Carfidant — an e-commerce redesign for a car-care brand

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Great detailing products deserve a storefront that performs just as hard. So I designed a bold, high-octane e-commerce experience for Carfidant – from research and strategy all the way to a polished, conversion-focused interface.

What's inside:

🔧 A build-your-own-kit configurator 📦 Bundle-based pricing with a quantity slider – more bottles, lower price per unit 🔁 Subscribe & Save with clear membership perks ⭐ A content-rich product page: social proof, comparison tables, step-by-step how-tos 🔎 A filterable catalogue with category controls and search

Visual language: bold display typography (Boldonse + Anton), a punchy yellow-black-red palette, and a consistent red accent driving every key action. Designed in Figma with responsive design in mind.

My hypothesis: combining strong visual hierarchy, intuitive UI, and flexible bundle and subscription options would help customers choose with more confidence – and lift both purchase intent and repeat orders.

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I felt this driving energy scrolling your work! Cool work 🔥 🔥🔥

Link : https://dunes-cafe-flow.base44.app/

For the Base44 Give It A Glow Challenge, I wanted to explore what happens when a local café experience is designed as an interconnected digital ecosystem rather than just a restaurant website.

Dunes Cafe combines customer ordering, event booking, AI-assisted support, and business analytics into a single experience built entirely in Base44.

The customer-facing platform includes menu browsing, food ordering, table reservations, event enquiries, location services, and an AI assistant capable of handling common questions and guiding visitors through the ordering process.

Behind the scenes, every booking and order feeds directly into an owner dashboard designed for day-to-day operations. The dashboard provides booking calendars, order logs, AI-generated customer feedback summaries, and weekly business metrics that help transform activity into actionable insights.

The WhatsApp workflow includes:

• Pre-filled greeting messages to reduce friction and start conversations instantly. • Automated routing based on customer intent such as Food Orders, Live Events, Party Bookings, or General Enquiries. • Queue management using first-come-first-served logic for event and booking requests. • Context-aware responses that reduce repetitive owner interactions for common questions. • Automatic capture of customer requests and booking information into the operational database.

The automation layer ensures that customer interactions do not disappear into chat history. Every enquiry, order, and booking becomes structured operational data that feeds directly into the owner dashboard.

This creates a continuous information loop:

Customer Message → Intent Detection → Automated Routing → Order or Booking Creation → Owner Dashboard Analytics

Rather than functioning purely as customer support, WhatsApp becomes a transaction channel, a booking assistant, and a data collection layer for business intelligence.

For many small businesses, conversational commerce is already happening informally through messaging applications. Dunes Cafe explores what happens when those conversations become structured workflows powered by AI and automation.

Built with Base44 for the Give It A Glow Challenge.

Prompt descriptions are given below in Comments.

#Base44 #GiveItAGlow #Contra #BuildInPublic #AI #HospitalityTech #NoCode #ProductDesign #UXDesign

Hi Pallab - don't forget to include a link to the business' existing online presence so that the judges can see the glow up