Lavelio
WEBSITE
LAUNCH DATE
02/06/2022
INDUSTRIES
Marketing
SKILLS
.NET Core
React
Typescript
React
Typescript
1
Client
Lavelio is a startup which focuses on Social Media Analysis using Artificial Intelligence.
2
Project goals
Give Fashion, Beauty and Jewellery industries the possibility for a self-service online platform, better understand the preferences of their consumers, and satisfy demand.
3
Key challenge
Probably one of the biggest challenges on this project was tied budget, so we had to design the technical solution and plan the project cost effectively as much as possible to keep it profitable for us as well as fulfill all the client's needs. We had to build a multi-tenant (SaaS) solution so Lavelio could engage with more and more clients without spending money on extra software development and infrastructure (to some degree).
4
Our solutions
We used .NET Core boilerplate for the backend in order to cut off low level functionality such as authentication, email sending, user management, etc. Also the Lavelio team provided a UI template based on the Reach framework to minimize efforts needed for the user interface development. That allowed us to save effort and money. BO team built a multi-tenant solution with a database split per tennant, role based admin where Lavelio team can manage their customers creating tenants and admin users, ...
We used .NET Core boilerplate for the backend in order to cut off low level functionality such as authentication, email sending, user management, etc. Also the Lavelio team provided a UI template based on the Reach framework to minimize efforts needed for the user interface development. That allowed us to save effort and money. BO team built a multi-tenant solution with a database split per tennant, role based admin where Lavelio team can manage their customers creating tenants and admin users, connect SM data, etc. and a possibility for the customers' admin to manage access to their portal on one hand. On the other hand we built an amazing, simple and intuitive Portal with the Dashboard and reports for the SM feed analysis for the end users.
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