Asha is a new food delivery app that matches you to your next meal!
Nowadays, when the hustle culture is thriving, one of the challenges people face when ordering from a food-delivery service is a low risk-readiness. Many of us would prefer to order something that we already had multiple times so as not to risk being disappointed.
Yet, there are hundreds of possible options that can match our preferences — we simply aren’t aware of them!
Asha helps you find a perfect meal match for you by using a Tinder-like matching mechanic for dishes on one hand and having a preselected list of quality plates with high-level visual content and tags on the other hand.
12 • Weeks
4 • People
439 • Commits
Asha entered the market with pretty intense competition, meaning that they needed to provide an experience close to the level of market leaders and be unique at the same time.
To start moving in this direction and get fundraising, they needed a simple Proof of Concept to validate the market and their product.
Additionally, features that weren’t included in the PoC needed to be managed manually, which our team set up for Asha. From the UI perspective, it needed to have habitual gesture-based navigation with HD meal visuals.
To meet all needs of the project, we created a team of a Project Manager, a Lead FullStack Developer, a Mobile Developer, and a CTO.
It took us 6 weeks to tackle the challenges, which included:
- 2 Weeks
- 9 Weeks
QA & Testing
- 1 Weeks
To build the PoC, we used the React Native framework for time- & cost-efficiency with no damage to performance.
To conveniently manage the ordering flow, we decided to set up the GraphCMS — it’s easily integrable with Reach Native, has a user-friendly dashboard, and a seamless type system.
Another aspect we had to take over is finding the most efficient way of informing users that the order is ready. For this purpose, we enabled push-notifications with the help of Firebase Cloud Messaging together with Cloud Functions for Firebase.
Since the ordering flow included managers handling it, we used GraphCMS Slack integration to notify them through Slack in the first place.
In this way, we developed an app that perfectly suited Asha’s goals and allowed them to successfully launch the product on the market.