Featured case study
Building an AI-Powered Wardrobe & Style Intelligence App
An AI-powered wardrobe intelligence app that helps people organize their clothing and understand their personal style.
Read the case study
Wardrobe, skincare, fragrance and fashion commerce apps that use AI to give each shopper personal advice.
Stack we work in
AWSFigures as of Oct 2026
Trusted by
Equitysoft builds apps and online stores for fashion, beauty and personal care brands and startups.
We have built AI wardrobe apps that catalog clothes from a photo, skincare chatbots that answer from expert sources, fragrance apps that identify perfumes and suggest new ones, and auction and resale stores for designer goods. Behind each one is a clear product catalog, secure payments and an admin panel your team can run day to day. We also help brands reach customers through social channels and WhatsApp.
Fashion and beauty shoppers want personal advice, not a long list of products. Brands that sell online often struggle to give that advice at scale, and to build trust for high-value or pre-owned items. We build products that close those gaps.
Shoppers who cannot get personal advice without visiting a store
Generic product lists that ignore skin type, style or taste
Buyers who hesitate on pre-owned or high-value items without proof
Customer enquiries spread across social media, email and chat
Little data on what customers own, use and want next
Outcomes
We build consumer apps, AI advisors and commerce platforms for fashion, beauty and personal care.
Mobile apps for shoppers and enthusiasts:
Platforms that power advice and sales:
Our fashion and beauty products serve:
Common jobs our fashion and beauty products handle:
Apps that help people understand and use what they already own.
AI chat and recommendation tools grounded in expert content.
Recognition and recommendation features that help shoppers find their next product.
Stores and marketplaces for new, pre-owned and limited items.
Channels that bring shoppers in and keep them talking to you.
We have shipped wardrobe recognition, skincare advice and fragrance recommendation features, so we know where AI helps shoppers and where it needs limits.
Fashion and beauty customers judge by look and feel. We design screens around your brand and test them with real users before we build.
From auctions and resale to standard online stores, we build checkout, payments and order tracking alongside the app.
Our 50+ developers cover mobile, web, AI and digital marketing, so your product and its launch are planned together.
Featured case study
An AI-powered wardrobe intelligence app that helps people organize their clothing and understand their personal style.
Read the case study
Smart Skincare with Lisa
DermaQ – AI Skincare Advice Chatbot
Eaudvisor – AI Perfume Guide and Fragrance Advisor App
Love Used – Second-Hand Designer Bag Store
AI Wardrobe Insights and Style Identity App
Lisa AI – Personalized Skincare Recommendation Chatbot
RSZ Jewels – Digital Marketing for a Heritage Gold Jewellery Brand
Shuffleu – Sustainable Wardrobe and Styling App
Starwears: Bid on Celebrity Fashion and Own a Piece of Star Style!We learn who buys from you, what advice they need and where they shop, then pick the features that matter most for a first release.
You receive Product scope and feature priorities
We decide what the app needs to recognise or recommend, which sources the AI may use and how answers are checked.
You receive Data and AI plan
We design visual, brand-led screens for browsing, styling and checkout, then test them in a clickable prototype.
You receive UI designs and interactive prototype
We build the app, admin panel and integrations in sprints, and test recognition accuracy, payments and edge cases.
You receive Tested release candidate
We release to the stores or the web, watch how customers use it and improve recommendations from real use.
You receive Production launch and growth plan
Tech stack
AI and machine learning
Databases
Mobile
Frontend
Backend and APIs
Languages
Cloud and DevOps
Messaging and channels
CRM, commerce and CMS
Other tools
Engagement
Pick the model that matches how certain your scope is today. Many clients start with one model and move to another as the product grows.
For a defined product, module or integration. We agree scope, milestones and acceptance criteria up front, then deliver in sprints with a demo at the end of each one.
For a new idea that needs proof before a full build. We ship the smallest version that tests your riskiest assumption, then plan the next release from real usage.
For an ongoing roadmap. Developers, QA and designers join your team, work in your tools and hours, and scale up or down as priorities change.
For live systems. We monitor, patch, update dependencies and ship improvements on an agreed monthly allocation, so the platform keeps pace with your operations.
We build AI wardrobe and styling apps, skincare advice chatbots, fragrance recognition and recommendation apps, fashion auction apps, pre-owned luxury stores and brand websites. Each comes with an admin panel to manage products, content and users.
The user takes a photo and a computer vision model identifies the item, its category, color and other details. We test the model on images like the ones your customers will take, and let users correct results so the data stays accurate.
We build skincare chatbots that answer only from sources you approve, such as expert books or your own product guides. Answers stay within skincare, and the bot points users to a professional for medical concerns.
Yes. We integrate with Shopify, WooCommerce and custom stores so product data, stock and orders stay in sync, and recommendations link straight to products.
Yes. We have built timed auctions with real-time bid updates, Stripe payments and order tracking, and pre-owned stores with authenticity checks and buyer protection pages.
You do. You own the source code, designs and customer data, and we sign an NDA before you share your product plans.
Item and product recognition from a photo
Personal recommendations that learn over time
AI chat grounded in approved expert content
Outfit builders and visual closet views
Product catalogs with filters and wishlists
Secure checkout with Stripe and other gateways
Real-time bidding and auction timers
Order tracking and buyer notifications
Admin panels for products, content and users
WhatsApp and social channel integration
Points and rewards for engagement
Insight dashboards on customer behavior
Book a free consultation to plan the AI features, catalog and commerce flow your customers need.