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Cost-Effective Android App Development Solutions
ChampHR, (Staffing Agency Software Case Study) a US based staffing agency, reached out to us to digitize their business. We faced a variety of challenges while helping them as every business operation, paperwork, and cross checking was happening manually which was costing a lot due to the scale of their company. We had to understand their work, their processes and build digital solutions for their problems.
The biggest challenge at the onset of the work was the sheer scale of it. The company managed 15000 employees at various industries in various locations
To filter the right person for the right job and not miss a potential talented employee in a sea of portfolios. As well as save the employee onboarding time too
We developed a machine-learning algorithm and all the resumes received by ChampHR were filtered through the algorithm for various background checks, skills etc. in the following order
ChampHR needed a robust scheduling mechanism to improve their organisation’s overall productivity and also a notification mechanism for any issues faced by the employers and the employees to prevent any potential problem and continue the business for the long term.
Managing timely salaries of 15000 employees was proving a big headache for the company due to a variety of factors.
Every state in the US has a separate tax system that needs to be factored in.
A lot of staff consists of immigrants who do not have a Social Security Number and a bank account while the company can’t deal in cash
We added a mechanism to enter a custom query in the panel to generate the local tax rate of the state and also generate customized reports for accounting.
We integrated our software with Rapid CardPay which allows for digital disbursement of the salaries of immigrant employees in their digital wallets.
We were able to provide a comprehensive solution to ChampHR to enable them to conduct all their processes from recruitment to payroll swiftly and optimize their work. We ensured improvement in productivity across departments. We were able to reduce bottle-neck delays, automate manual work, reduce operations cost thus helping ChampHR to grow their profits.
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Dairy Delivery Software
Native Milk always had to deal with route optimization to maximize profit and frequent changing of delivery boys. While this was easily manageable manually in offline business, it was a big headache when their business went digital.
We developed a mobile application for the drivers with route optimization. The total delivery area is divided into various routes and orders are sorted according to different routes. A driver is then assigned a single route.
We needed a fast technology to synchronize the source data to our system.
We had to run our programs real time during the horse race.
We ran our calculations on the given data, but by the time we generated an analysis of the probable winner, the market trends and positions of the race horses altered so our result had no value.
The reason behind using node.js is that we were able to establish a swift and persistent connection between betfair and our algorithm.
We could run our program with race data and generate results using the latest trends up-to-the-second with more than 99 % of the source data matching with our index.
On-Demand Delivery App
The client was clear with their needs but was not tech savvy enough to state specific requirements.
In GetIt the driver and vendor are treated as separate entities unlike a regular taxi application where such division does not exist.
We initiated brainstorming sessions with the client to plan out the project.
We built application functionality to optimize the process while simultaneously taking all stakeholders into account.
The client had an understanding of NFC but they had no idea of how the technology behind NFC works.
The client needed a secure platform as they wanted to keep the customer data secured.
We did a knowledge transfer with the client and explained the technology behind NFC and QR code.
We undertook a variety of security measures to prevent any leakage of user data.