Getit is an on-demand, on-the-go service by providing a convenient way for you to get what you need.
A construction company reached out to us to build an application for an on-demand taxi service. Construction industry faced a lot of challenges with the immediate requirement of materials during the construction process that were not available at hand. We built a customized taxi system with separate applications for customers, vendors and drivers.
The client was clear with their needs but was not tech savvy enough to state specific requirements.
We initiated brainstorming sessions with the client to plan out the project.
We discussed challenges of all stakeholders- vendors, drivers etc.
We helped narrow down their vision to tangible deliverables.
Based on the requirements of the project we planned out realistic milestones and timeline.
In GetIt the driver and vendor are treated as separate entities unlike a regular taxi application where such division does not exist.
We built application functionality to optimize the process while simultaneously taking all stakeholders into account.
The customer(construction company) will place the order directly to the vendor & the vendor books the taxi
We had a challenge to digitally verify the driver’s identity before registration on the application as manual checking would take a lot of time.
We developed a mechanism to cross check and do a background verification of the driver’s identity.
Our algorithm used the Social Security Number (SSN) of the driver to check for any sex offendor, criminal history etc.
Most of the time, the registered office location and warehouse location where the vendor stored the goods were different which caused delays as the warehouse was mostly somewhere in the outskirts of the town.
The default pickup location of the order was the vendor’s warehouse.
An order was only assigned to a driver if he was in the three mile radius of the warehouse.
The delivery is outsourced to taxi drivers at a minimum wage of USD 15 per hour.
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
We divided the deliverable area into four equal zones- A, B, C and D.
We sorted the zip codes as per the divided zones.
Sorted the orders in one zone in ascending order of radial distance from the store
Assigned one delivery person for every zone.
before the route optimization, a taxi driver delivers 2 orders in an hour.
We were able to develop a highly functional on-demand taxis service with customizations for the construction industry. We built applications with smooth operation for all three stakeholders-drivers, vendors and customers(construction company). We solved the issues such as distance between the construction site and warehouse, payment challenge between three entities etc. and also did route optimization for drivers to save freight costs. Thus we were able to help construction industry moves leaps and bounds with their logistics and operations by leveraging the use of technology.
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.
Construction Software
PlanTech, (Construction Project Management software Case Study) a well-established US based construction company with huge projects, needed an improvement of their business processes and better optimization of their resources. As their business expanded, projects continuously got delayed which resulted in lawsuits by unhappy clients. We faced a variety of challenges to develop niche technological solutions for a company involved in the construction industry.
We designed separate web and mobile applications for foremen i.e. project managers and for construction staff (labourers). The applications has synchronized features such as calendar, attendance etc. that were updated real time Simple user interface for the layman was developed after many iterations and approval from the client.
We developed a dedicated central project management panel. The purpose was to have a centralised system update where all team leaders from different departments could update on their tasks at work.
Trading Software
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.
We used the Node JS as it as an open-sourced JavaScript run-time environment that has the fastest libraries.
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.
NFC
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.
Loan
The oldest insurance company of Lebanon reached out to us. They needed to digitize their operations and develop a lending application.
The target customers of the bank were mostly laymen with not much technical know-how. They consisted of old people, rural families, middle class urban families etc. Thus digitization was a challenge.
We developed a mechanism for the bank to directly disburse the loan amount to the customer’s bank account. This saved a trip to the bank of the customer and saved a lot of time for both the parties.
