Callik Project (callik.com) icon
Full Stack2026

Callik Project (callik.com)

callik is a specialised e-commerce and infrastructure platform designed specifically for the African fashion ecosystem.

CategoryFull Stack
Year2026
Stack1 technology
Highlights3 noted

About this project

Callik is a two-faced digital platform that bridges the gap between independent African fashion creators and global consumers by functioning simultaneously as a retail marketplace and a business infrastructure suite.

Face 1: The Consumer Marketplace (Callik.com)

The front-facing side of the platform is a specialized e-commerce marketplace built for shoppers seeking authentic African fashion and beauty.

Curated Fashion: It aggregates diverse clothing styles ranging from contemporary ready-to-wear pieces to traditional garments like Men's Native Senator suits and Agbadas.

Beauty & Grooming: The catalog extends beyond apparel to include everyday personal care products, cosmetics, and premium hair extensions.

Ambassador Program: Callik proviodes opportunity for individuals to earn using their platform as well, by registering as an ambassador, one gets a unique code in which can be used for the purpose of referrals and incentives are gotten by the ambassador for every successful purchase

Face 2: The Merchant Infrastructure (merchant.callik.com)

The hidden side of the platform functions as an all-in-one software-as-a-service (SaaS) utility designed to digitize the fragmented African fashion supply chain.

DM-to-Dashboard Migration: It replaces messy order management over social media direct messages with a unified vendor dashboard.

Bespoke Workflows: The backend is uniquely engineered to handle the specific needs of tailoring, including custom ai powered live sizing measurements on the site, made-to-order processing, and bulk textile tracking.

Payment Integration: It provides local merchants with a secure global checkout system and instant financial settlement capabilities.

Highlights

What mattered most
Feature
Onsite AI powered live measurement
Feature
Multi Faced Platform
Feature
Machine Learning integrated system for product ranking for each users home page

Built with

1 technology
Python-Django-Postgresql-React-Next.js

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