Case Study
Case Study
Web Develop AI/ML, Mobile Apps and Enterprise Solutions
Web Develop AI/ML, Mobile Apps and Enterprise Solutions
ALGOREC has enhanced customer experience and increased sales by implementing the recommendation engine. Using AWS services, we built a scalable, secure platform that delivers real-time, personalized content, ensuring optimal performance and robust security.
ALGOREC, a leading SaaS provider, needed to enhance customer experience by integrating a robust recommendation engine into its platform. The challenge was to deliver real-time, personalized content and product recommendations while ensuring scalability, security, and efficient performance.
The implementation of the ALGOREC recommendation engine significantly enhanced the user experience on GRAAHO TECHNOLOGIES’ platform. Users received personalized content and product recommendations in real-time, which improved engagement and satisfaction. The solution’s scalability ensured optimal performance, even during peak times, while AWS’s robust security features protected sensitive user data and ensured compliance.
In the process of developing and implementing the recommendation engine, ALGOREC conducted a comprehensive Total Cost of Ownership (TCO) analysis to evaluate the financial impact and benefits of using AWS services for the solution. The analysis covered several key areas:
August 2, 2024
AWS, AI/ML, Python
ALGOREC
AlgoRec is a versatile Recommendation System Framework that enables users to effortlessly manage projects, create custom functions, handle datasets, and train recommendation models executing various algorithm, and visualize real-time model performance. The system is an ideal solution for individuals and organizations across domains such as e-commerce, content streaming, social networks. This framework empowers users to build and fine-tune recommendation models for personalized and effective user experiences.
The client seeks a recommendation system that should allow users to create and manage projects, develop custom recommendation algorithms, handle diverse datasets, and easily train models for personalized product recommendations. A user-friendly interface for data manipulation, real-time model feedback are important requirements. The client also required to create different type of purchase plans for different users.
The client requested a recommendation system that could a user-friendly interface for the user to create project, function, data sources and run the models. At first place, we understand the client’s need and made a plan with fixed timelines. User can subscribe for their suitable purchase plan and execute their task without facing difficulties.
Our development team worked following the requirements to create the system. They used the best tools and technologies for various task like data engineering, model training. They also ensured that the software was compatible for the platform. Despite facing Challenges, we were able to build a solution that met the client’s requirements while staying on schedule and within budget. We tested everything before delivering it to the client to ensure that everything works correctly.
Finally, we developed a system that performs exactly as the client asked with an easy-to-use interface.
January 2, 2022
Android, iOS, Flutter
Komidaz Inc, USA
The Microsoft License Management Portal for Dell is like a helpful tool for Dell admins to easily handle software purchases. The project focuses on making the process smoother by helping with software purchases and improving overall ease of use. It includes features for online ordering and managing licenses. It also helps administrator to better control and see their license needs. For budget planning, there’s a tool to create a document for ordering needs. The portal is secured and allows admins to control who can access it. Moreover, it comes with reporting features so admins can keep track of what they’re buying
The client needs a portal that’s feasible to use for purchasing and managing licenses. They want a system for ordering and license management that makes purchasing software easier. The portal should help customers to control and see their license needs better, with features like reporting. The client also wants the system to have budget planning capabilities. Additionally, they need a portal access feature and all users must register to use it.
The client wanted a solution for managing the license portal with other selective features like: placing order and tracking, generating structured reports containing various information. Our approach began with a thorough understanding of the client’s requirements, and we crafted a well-defined plan with clear objectives and timelines.
Our dedicated team of developers employed the design architecture including the application architecture, database designing and environment setup. The developers gradually developed all the required features including Agency dashboard, Dell admin dashboard, product catalog, order and tracking functionalities, shopping cart, report generating functionalities and others. To facilitate user interaction, we developed the application, allowing admins as well as users to avail the features.
Despite difficulties along the way, we successfully implemented a solution that met the client’s expectations within the timeframe specified. Testing was carried out to guarantee that the system works flawlessly. Finally, we created a management portal that properly suited the client’s needs for managing the purchase procedures of licenses.
November 26, 2020
Python, AWS, Angular, Docker
Microsoft
The Museum Display Software provides a centralized digital library system containing information of Bangladesh Army’s all field operations since 1971. This software also works as a content management system to enable the feature of creating and maintaining the data entries. It captures operational content and data in multiple formats and also provides a secure access mechanism to prevent unauthorized access of sensitive information. Along with that, Museum Display Software allows to develop new contents or authorize existing contents for public consumption which is located at the Bangabandhu Military Museum.
The client wanted a system that can centralize all the information in a digital library. Along with that, this can be also utilized as a content management system having a feature of entering data in various format (i.e. text, video, photograph, sound, data tables) and managing it with a secured mechanism. The client also wanted to build a security system within the software which can avoid unauthorized access. As per the requirements, this system also has the capability to authorize existing contents which will help to maintain the accuracy of information.
The client wanted a special display system that could safely handle different types of information, like pictures and documents. We started by understanding what the client needed and made a plan with clear goals and timelines. We designed the system to be strong and secure, while also being easy to use. Content managers and museum staff can use it without any trouble.
Our team of developers worked really carefully to build the system. They used the best tools and technologies, like Python, JavaScript, and the Angular Framework. They also made sure to protect all the important information with special security measures. Even though we faced some challenges along the way, but in the end, we created a solution that met the client’s needs and delivered it on time and within the budget. Before giving it to the client, we tested everything to make sure it works perfectly.
Finally, we made a system that does exactly what the client wanted, handling different types of information securely, and it’s easy for people to use.
November 26, 2020
Python, AWS, Angular, Docker
Bangladesh Army
The AI in Farming project is developed as a smart AI solution using computer vision for quick and cost-effective livestock weight and breed estimation. Traditional livestock scales are bulky, expensive, and not portable. This project simplifies the process, making it easy for livestock trading by providing accurate information with a mobile solution. With this innovative mobile computer vision system, users will be able to obtain this information quickly and efficiently, streamlining the livestock trading process.
The client needs a cost-effective solution for farmers to monitor the health of their livestock without expensive scales. They wanted to improve productivity and accuracy for butcher shops and meat processors, reducing errors in weight estimates. Their requirement was also to assist consumers in making informed livestock purchases and promote better animal care by providing accurate weight and breed identification for growth tracking and medication dosage.
The client sought a Smart AI solution with computer vision that could provide information about animals without relying on large weighing scales. Our approach began with a thorough understanding of the client’s requirements, and we crafted a well-defined plan with clear objectives and timelines.
Our dedicated team of developers employed top-notch tools and technologies, including Python, Tensorflow, and both iOS and Android platforms. They trained an algorithm to recognize crucial details such as livestock breed, height, weight, and other vital information. To facilitate user interaction, we developed iOS and Android apps, allowing end-users to input new livestock images for predictive analysis.
Despite encountering challenges along the way, we successfully delivered a solution that aligned with the client’s needs within specified timeline. Testing was conducted to ensure the system’s flawless operation. In the end, we developed a Smart AI solution with computer vision that precisely met the client’s requirements handling various types of animal information.
April 26, 2019
Android, iOS, AWS, Python, AI/ML
Bengal Meat
KhaoDao is an online food ordering app which can be operated in both android and iOS that connects users with local restaurants to order food for delivery, take-out or dine-in. It is a user-friendly food ordering app that places orders effortlessly for delivery and take-out with cash on delivery and online payment facilities as well as simplifies the dining experience by the help of QRC scan. By using this app, users can satisfy their cravings just staying right at their place easily.
The client’s requirements for KhaoDao were aimed at creating a versatile and user-friendly service. They needed a system that could cater to various customer preferences, including delivery, take-out, and dine-in options. The platform had to support online payment and cash on delivery to accommodate different payment methods. Additionally, the client wanted to offer coupons and discounts to attract and retain customers.
The client wanted a food ordering app both in android and iOS that could offer seamless online food ordering, dine-in experiences. We started by understanding what the client needed and made a plan with clear goals and timelines. We designed the system to be user friendly. Customers can effortlessly place order and make payment according to their choice either online or cash on delivery.
Our development team worked very carefully to create the system. They used the best tools and technologies, such as Flutter. They also ensured that the software was compatible with both Android and iOS. Despite facing Challenges, we were able to design a solution that suited the client’s expectations while remaining on schedule and within budget. We tested everything before delivering it to the client to ensure that everything works correctly.
Finally, we created a system that does exactly what the client requested while still being user-friendly.
January 2, 2022
Android, iOS, Flutter
Komidaz Inc, USA
Qesfera is a comprehensive, integrated and scalable risk platform that reduces human, infrastructure and computational cost. It is a solution which analyzes financial past records of clients and depending on that, it provides a proper prediction whether the loan will be provided or not. In order to analyze a huge volume of past financial records, a large amount of human resources, computational cost and hard maintenance is required. Qesfera resolves all these difficulties within one platform.
The client is looking for a system that lets them easily customize models and pricing for their financial strategies. They want a solution that takes care of the technical stuff like infrastructure and maintenance. The system should cover all aspects of risk management and work quickly to process data. Importantly, it needs to handle a variety of complex market instruments, giving the client flexibility in their financial decisions.
The client wanted a solution with other selective features like: full control over modeling and pricing, offloading Infrastructure, resource & maintenance, covers all aspect of risk management, significantly increases computation speed, covers an exhaustive set of complex market instruments. Our approach began with a thorough understanding of the client’s requirements, and we crafted a well-defined plan with clear objectives and timelines.
Our dedicated team of developers employed the design architecture including the application architecture and environment setup. The developers gradually developed all the required features including modeling and pricing, offloading infrastructure, resource & maintenance, covers all aspect of risk management, significantly increases computation speed, covers an exhaustive set of complex market instruments and others. To facilitate user interaction, we developed the application, allowing admins as well as users to avail the features.
Despite difficulties along the way, we successfully implemented a solution that met the client’s expectations within the timeframe specified. Testing was carried out to guarantee that the system works flawlessly. Finally, we created a platform that properly suited the client’s needs for managing the all the tasks.
Data Security and Privacy: A robust protection of sensitive information and compliance is ensured with privacy regulations.
User Adoption and Training: user adoption and effective training is provided for complex financial features.
Algorithmic Accuracy: Precise algorithms are developed for accurate financial modeling and risk assessment.
Continuous Maintenance and Updates: Ongoing maintenance and updates are managed to adapt to market changes.
March 26, 2019
Python, AWS, Angular, AI/ML
QESFERA, USA
The Portal shall provide Bangladesh Army Officers with a professional profile management tool. The portal shall be capable of providing secure access to Army Officers to enter, update, and manage their demographic information for information sharing and external corporate contact management.
The Portal will provide easy to navigate interface for Army officers to create, manage and maintain their professional profiles.
The Portal shall offer capabilities to capture new professional experiences, build special skills and upload and store professional resumes.
January 26, 2020
Python, AWS, React
Bangladesh Army
KhaoDao System Admin is a platform empowering administrators to efficiently manage various functionalities of KhaoDao. The system offers real-time analytics through a dashboard, facilitates seamless operations by managing orders, carts and customer list, executes targeted marketing campaigns, oversees rider management, enables system setup and configuration, provides detailed reports for sales and operational analytics, and provides customizable notifications.
The client wants a platform for KhaoDao System Admin that is easy to use and powerful. They need a dashboard for quick insights, tools to manage orders smoothly, effective marketing features, a way to handle delivery riders, easy setup options, detailed reports for analysis, customizable settings, and notifications for better communication. This system is meant to make it simple for administrators to run and enhance their business.
The client wanted a system admin for KhaoDao that could manage operations, marketing strategies, rider operations, organizations, reports, notifications. We designed the system to be user friendly. Admins can effortlessly manage organizations, riders and all the operations from this platform.
Our development team worked very carefully to create the system. They used the best tools and technologies to build this. Despite facing Challenges, we were able to design a solution that suited the client’s expectations while remaining on schedule and within budget. We tested everything before delivering it to the client to ensure that everything works correctly.
Finally, we created a system that does exactly what the client requested while still being user-friendly.
May 20, 2020
Python, AWS, JQuery, Sass
Komidaz inc, USA
It is an integrated Restaurant Platform that offers restaurants their own cloud-based e-commerce website & backend dashboard view to manage simplified menu & order Management. There is no other technology so simple customer hand’s place an order from the restaurant domain/website.
March 26, 2017
Python, AWS, Angular, Sass
Colabrio
Bengal Meat is one of the largest butcher houses in Bangladesh. It owns and operates multiple direct-to-consumer retail locations either owned or in partnerships with local grocery chains. It also has a centralized business-to-business sales operation in the capital city of Dhaka and supplies high-quality raw meat and meat products for consumption domestically and internationally. Its clients include all most all major hotel chains, restaurants, and catering houses in Bangladesh. Bengal meat’s retail and B2B operations are backed by an ISO-22000;2005 certified state-of-the-art meat processing plant and livestock rearing and slaughtering facilities in Pabna, Bangladesh.
June 23, 2022
JQuery, Sass
Colabrio
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