The building of an ML platform for FashionTech startup
Since 2016 a Singapore SuitApp startup provides its services in the field of FashionTech.
The client approached Resliv to develop a machine learning platform that would provide a smart, personalized recommendation service automatically, creating outfits from the goods of any fashion-online store.
To increase the engagement rate and broaden the circle of customers, the client needed the app that could precisely recognise objects on images and create outfits. Each chosen item supposed to have 3-5 looks for different styles and occasions.
The solution also supposed to constantly auto-update prices, sizes and availability of the goods.
Getting down to work, our dedicated team of software engineers developed a back-end, based on Machine Learning algorithms.
– Generation of an unlimited number of outfits
– Increased Conversion Rate, because of an extremely user-friendly 24/7 service that increases click on recommendation +40%, conversion by 30%
– Post-sale and Up-sale conversion increase as part of email marketing and average purchase size increase
– 3X increase of product view per session, which, in its turn, leads to higher engagement
– Increase of CRR (Customer Retention Rate) – 35% higher repeat visit rate.
Analysis
Development
Testing and QA
Deployment
Support
Python, Flask
Tensorflow, Keras