Lean Apps GMBH

Covid-19 triaging (self-assessment) app for patients to check their symptoms at home and check the severity at home. It also allows patient to connect with other local services available for the patient to use like: 1. Covid-19 hotline numbers 2. Telemedicine apps 3. Neighborhood help for elderly 4. Local Tracking apps

During rush hours or festive seasons customers have to queue up for check-out at Retail stores. Sometimes this wait is more than 30-40 minutes and customers decide not to buy the product and eventually leave the store. This is a lost sale for a Retailer. We built an iOS app to validate the idea. We presented the idea at few events and got a very good feedback. As a next steps we will build an SDK which can be implemented in loyalty apps of brand and will enable instant check-out for their loyal customers. 

Mechanical license creation app is a legacy application. The entire license creation process is very complex and UX is very cumbersome. Every day, the license team used to spend hours to create licenses. We re-defined the license creation process using low-fidelity prototyping. Later wireframes and visual designs were created and app was launched. Now it simplify digitise and speed up the process to create and issue song license.

During rush hours or festive seasons, customers have to queue up for check-out at Retail stores. Sometimes this wait is more than 30-40 minutes, and customers decide not to buy the product and eventually leave the store. This is a lost sales for a Retailer. Both applications by Pointics are meant to increase the sales for the retailer and the main intent of this website is to showcase the features of this application and get leads through this for Pointics.

Problem

During rush hours or festive seasons customers have to queue up for check-out at Retail stores. Sometimes this wait is more than 30-40 minutes, and customers decide not to buy the product and eventually leave the store. This is a lost sales for a Retailer

Requirement

To build an iOS and Android app to incentivize loyal customers with a instant checkout app as part of brand app. Loyal customers do not need to wait at the POS. They can do instant checkout comfortably by themselves. Further, customers will also be able to access store after they are closed. In essence, all stores can potentially be 24 hours open without any sales staff

Approach

We did some research and customer interviews regarding time customers wait in the store for checkout. We found that people come to store to experience the product but end up buying online. One of the important reasons was LONG QUEUES at checkout.We built an iOS app to validate the idea. We presented the idea at few events and got a very good feedback. As a next steps we will build an SDK which can be implemented in loyalty apps of brand and will enable instant check-out for their loyal customers.

The Fashion Network! A virtual closet allows you to organize and share outfits and clothes among your friends.

Problem

Teenage women find it hard to organize their closets and sometimes do not even know what all they have in their closets. They also want to get inspired by their friends to understand what fashion trend is on. Lastly, they have lot of unused clothes which they don’t like and would want to either exchange or sell.

Requirement

To build an iOS and Android based social fashion network that enables users to digitize their closet and share it with their friends. It also allow users to sell, buy or exchange their personal clothes, shoes and accessories. It is like Instagram for fashion. Data Analytics plays a key role in analyzing famous trends, brands, colors, age group – data that is invaluable for retailers

Approach

We started with defining the MVP to test early critical assumptions. We build an iOS, Android and PHP based MVP with a great user experience. After the launch of the app, we acquired pilot users and took early feedback. We iterated as per the users’ feedback. DAF got a TV spot in 2015, which app got a traffic of 10.000 requests per sec. Currently it has 30.000 users