A client reached out to us to build an automated betting bot on the popular BetFair application using API to maximise their profits from betting on horse racing by understanding the market trends. BetFair is an application that enables its users to bet on international sporting events. First, we understood how the betting industry works, and then we understood how BetFair works, after which we began solving the problem.
Step 3
60%
We needed a fast technology to synchronize the source data to our system.
We used the Node JS as it as an open-sourced JavaScript run-time environment that has the fastest libraries.
We had to run our programs real time during the horse race.
The reason behind using node.js is that we were able to establish a swift and persistent connection between betfair and our algorithm.
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 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.
The client provided their own algorithm to make betting predictions using the market trend.
We used Machine Learning to analyse the real time data of the market trend received in the NodeJS libraries and received better recommendations regarding our bet.
This was the first time we were dealing with a client involved in the betting industry. It took a lot of effort on our part to first understand the betting process, rules and then find a solution to the problem of our clients. We first synchronized the betting data and our Index using the speed of NodeJS and improved the accuracy of our predictions using Machine Learning. Thus, we were able to leverage the latest technologies and incorporate their features in the arena of betting to generate maximum profits for our clients without much hassle.
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.
