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Mobile App Project

Car Rental Mobile Application

The story

The client operates a group of companies spanning seven diverse sectors, all dedicated to providing exceptional products and services aimed at improving people’s lives.

The challenge

In Gulf Countries, car rentals are a common practice, and one of the client’s companies, the client, specializes in offering cars for rent and lease. Although they had previous projects providing these services, they sought to streamline the rental process into a single, user-friendly platform.

The primary challenge they faced was the dynamic nature of the car rental industry, where requirements and changes could emerge at any time. Ensuring a robust user identity authentication system to validate Emirates ID, Driving License, or Home Country Driving License was also a significant challenge.

The solution

To address these challenges, the client decided to create a dedicated platform for car rentals. This platform would allow users to easily select from a variety of cars, make seamless payments, choose pick-up and drop-off locations, and access many other features. They chose to use the Flutter framework to build this platform, and to ensure flexibility in accommodating continuous changes, they adopted Clean Architecture for the project.

The platform incorporated various features such as Maps, Payment gateways, Analytics, Notifications, and Deep Linking. Additionally, OCR (Optical Character Recognition) APIs were integrated to extract user data from Emirates IDs, Driving Licenses, or Home Country Driving Licenses to ensure data accuracy and validation.

The outcome

The car rental platform has been successfully launched on both Apple App Store and Google Play Store, attracting more than 25,000 users on each platform within the first six months. This achievement has greatly helped the client’s organization streamline their car rental business.

Following the Minimum Viable Product (MVP) release, ongoing enhancements and the addition of new features continue to make the platform even more user-friendly and easier to use. This case study demonstrates how the strategic use of technology and a thoughtful approach to system architecture can lead to a successful and adaptable solution in a dynamic industry.

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Project Software

Automation in Immigration

The story

The client, based in the USA, operates as a LegalTech company with a mission to streamline and automate the immigration process for individuals, attorneys, and employers. The challenge they faced was the manual and time-consuming process of checking visa status on the government website, which took over 30 days and lacked an alert system for missed deadlines. To tackle this issue, they enlisted the help of software developers to revolutionize the immigration process.

The challenge

The primary challenge was to eliminate manual processes, reduce the time required to check visa status, and implement an alert system for deadlines. The client needed a robust, automated solution that could accommodate millions of users and ensure stability while integrating seamlessly with government systems.

The solution

Over the course of the project, we implemented a comprehensive array of solutions to address the client’s needs. Our technology stack encompassed a wide range of tools, including React Native Web for the frontend, Golang and Python for backend development, Redis and PostgreSQL for data management, AWS Textract for document text extraction, Redis PUB SUB and NATS for event handling, and Selenium  for web automation. We crafted a responsive web application using React Native Web and designed a custom backend system architecture tailored to the client’s specific requirements. To handle large user volumes, we adopted an event-driven microservices approach, while Agile Scrum practices guided our project management, including task tracking on Asana, daily scrum calls, and weekly client demos.

We seamlessly integrated REST APIs and established a REST architecture in Golang, and employed Python fast APIs for image pre-processing and web scraping techniques to extract data from government websites. Our ETL process utilized AWS Textract to extract text data from images or PDFs, which was then transformed using Golang and loaded into PostgreSQL. We also introduced a subscription-based module for monitoring visa statuses and sending timely alerts, an auto-scan feature for automatic document scanning and data extraction, and a robust notification system to detect visa status changes and deliver notifications via email. Additionally, we developed an organization module, empowering lawyers to efficiently manage client data and track their clients’ progress.

The outcome

The team successfully delivered the web application within the deadline. The subscription-based status checker module empowered individuals and organizations to monitor visa status and receive timely email notifications. Lawyers could track crucial deadlines, allowing them to make informed decisions about their clients’ immigration status. This automation system saved time and eliminated the need for manual data entry and spreadsheet management. Overall, the project automated and simplified the immigration process, achieving the client’s objectives.

In summary, the client’s challenge of simplifying the immigration process resulted in a comprehensive solution that streamlined visa status checks, improved alerting, and provided lawyers with efficient tools to manage clients’ immigration matters, all within a seven-month timeframe.

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Project Software

Automating Operations

The story

The client has a US-based startup in the food tech domain, recognized as one of the Top 10 AI startups in 2022 by Well Found. They offer a co-pilot platform for food brand management, empowering teams to minimize errors, stay ahead of food trends, and boost revenue through data-driven smart workflows. The client aimed to revolutionize restaurant management by addressing various challenges faced by modern food brands and restaurant owners. They wanted to leverage data, automation, and machine learning to streamline operations and increase profitability.

The challenge

The client encountered a series of challenges on its journey to revolutionize restaurant management. Firstly, the time-consuming process of simplifying the onboarding of new food delivery platforms, aiming to expedite market entry for restaurants. Secondly, managing the influx of data, including copious orders and reports from diverse delivery platforms, demanded a more efficient approach to data ingestion and management. To bolster customer satisfaction, the client sought to automate the often labor-intensive handling of order disputes.

Coordinating a multitude of tasks and workflows across diverse platforms presented a significant organizational hurdle that needed to be overcome for optimal efficiency and communication. Additionally, the client aimed to empower restaurateurs with the tools and insights necessary for data-driven decision-making, a critical element in the modern food industry. Lastly, staying ahead of ever-evolving consumer preferences and food trends posed an ongoing challenge in an industry marked by rapid change and innovation.

The solution

A team of six skilled members frontend developers, backend engineers, business analysts, and data engineers, devised a comprehensive and innovative solution to tackle the multifaceted challenges they encountered. Leveraging a technology stack that featured BQ Console, VS Code, Looker Studio, Linear, Python, and SQL, they introduced several pivotal enhancements. Notably, they streamlined the onboarding process, allowing for the hassle-free uploading of CSV files to expedite and error-proof the onboarding of new stores. Their work also led to enhanced data ingestion capabilities, offering a deeper understanding of business operations. We automated the submission and tracking of order disputes, substantially reducing manual labor and enhancing efficiency. Moreover, the integration of data ingestion with a cohesive workflow system ensured the smooth orchestration of operations, contributing to the platform’s overall efficiency and effectiveness.

The outcome

Our efforts have yielded remarkable outcomes across multiple fronts. Their streamlined onboarding process facilitated faster platform adoption, reducing barriers for new users. The introduction of enhanced insights empowered users to make data-driven decisions, a crucial factor in today’s competitive food industry. Through automated dispute resolution, the client not only expedited the resolution of order issues but also elevated customer satisfaction levels. Additionally, their focus on improved organization enhanced platform efficiency and overall user experience. In conclusion, the client’s dedication to revolutionizing restaurant management with data, automation, and machine learning has resulted in substantial enhancements in onboarding, data analytics, dispute resolution, and platform organization, ultimately enabling food entrepreneurs to concentrate on their core passion: crafting exceptional culinary experiences.

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Project Software

Appliance Management App

The story

In today’s modern households, managing the abundance of appliances has become increasingly complex. With each device requiring its own remote control or mobile app, homeowners often find themselves juggling multiple controls and apps, resulting in daily frustration. To tackle this challenge, we developed an innovative solution: a centralized mobile app capable of integrating with and controlling all household appliances. This app streamlines the user experience, providing a single, intuitive interface for managing everything from smart TVs and air conditioners to thermostats and lights. But we didn’t stop there – we took our innovation to the metaverse using Unreal Engine, creating an immersive and futuristic way to interact with household appliances.

The challenge

Modern households are equipped with an increasing complexity of appliances, including smart TVs, air conditioners, thermostats, and lights, each requiring its own remote control or mobile apps. The cluttered controls because of the presence of multiple devices with individual controls leads to a cluttered and confusing user experience. Daily frustration of juggling between multiple remotes and apps to manage household appliances becomes a daily frustration for homeowners.

The solution

To tackle these issues, we came up with a comprehensive solution: first, we created a single mobile app that can connect to and control all of your household appliances. This means you don’t need a bunch of different apps or remotes anymore. Second, the app was designed to be super easy to use, with one simple interface for managing everything. This makes your life much simpler. Now, homeowners can effortlessly control their smart TVs, air conditioners, thermostats, lights, and more, all from one place, getting rid of the hassle of dealing with multiple remotes and apps.

The outcome

Our innovative approach not only made managing household appliances easier but also elevated user interaction by integrating our solution into the metaverse. This led to significant outcomes: We used Unreal Engine to showcase our solution in the metaverse, creating a futuristic and immersive way to interact with household appliances. Tech stack included Unreal Engine for app development, Blender for asset creation, Epic’s online subsystem for web services, a dedicated backend for web APIs and data management, and Meta Quest 2 for deployment and testing. In conclusion, our centralized app and metaverse integration have transformed how homeowners engage with their appliances, providing convenience, efficiency, and a glimpse into the future of home automation.

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AI Project Software

AI-Enhanced Dining

The story

Our client, a rapidly growing startup in the food technology sector based in Sweden. Owning a renowned chain of restaurants aimed to stay ahead of the culinary game. They required a comprehensive dashboard that would provide an in-depth understanding of their ongoing services, from sales insights to inventory management. To cater to this demand, we designed an advanced AI-driven system that integrates various aspects of kitchen management into one streamlined platform.

The challenge

The challenge at hand had several critical aspects within the restaurant industry, demanding innovative solutions. It required the precision of accurate sales predictions, a daunting task given the industry’s ever-changing dynamics. Additionally, crafting a menu that could adapt to the diverse and evolving preferences of customers was essential. Real-time cooking estimates had to be generated, considering factors like kitchen traffic and order complexity to ensure efficient operations. Personalizing recommendations for a broad and varied clientele was another hurdle to overcome. Lastly, managing inventory effectively while preserving ingredient freshness posed a significant challenge.

The solution

The solution to the challenges involved harnessing the capabilities of machine learning and data analytics. To enhance accuracy, data augmentation techniques were employed, reinforcing the XGBoost model’s ability to adapt to unpredictable shifts in sales trends. Deep learning algorithms played a crucial role in fine-tuning menu recommendations and suggesting promotional days, catering to the restaurant’s diverse clientele. The approach encompassed a comprehensive strategy, including the development of a dashboard tailored for kitchen owners, offering valuable insights into offerings and sales trends. Additionally, an advanced XGBoost-powered sales forecasting model empowered chefs and managers to plan ahead, while menu engineering went beyond standard options by analyzing menu popularity and proposing data-driven culinary creations. Promotional day suggestions, real-time cooking time estimations, personalized meal recommendations, and AI-driven smart staffing and inventory management rounded out the holistic solution, ensuring punctuality, customer satisfaction, and optimal operations.

The outcome

With AI, the restaurant chain witnessed a transformative leap. Sales forecasts boasted an accuracy rate of 93%, leading to improved inventory management. The kitchen staff could optimize operations, from ingredient procurement to staffing needs, ensuring timely service and delighted customers.

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AI Project Software

AI Infused Assistant

The story

The client specializes in providing Intelligent Finance solutions tailored for consumer brands, particularly those operating on platforms like Shopify and Amazon. Their services include access to vital financial metrics such as Connected P&L, balance sheets, cash flow analysis, and monthly projections. A unique feature of their offering is an AI Assistant that facilitates users in engaging with their financial databases using natural language, transforming database queries and interactions into smooth conversations.

The challenge

The client’s AI Assistant development was marked by a dual challenge. We initially focused on establishing an adaptable database schema to manage diverse data sources, followed by careful data cleaning and transformation for optimal AI interactions. Integrating the ChatGPT API was pivotal, facilitating interactions ranging from database queries to access control. Crafting the AI Assistant’s multifaceted capabilities, including generating emails and reports, was essential.

In parallel, we worked closely with the frontend team to blend our backend expertise with a user-friendly UI. Our solutions directly confronted challenges, resulting in an exceptional AI Assistant. This ensured uninterrupted interactions despite potential API errors, establishing smooth connections with databases, addressing varied user input, enhancing response quality through GPT model optimization, implementing dynamic question suggestions, optimizing performance, and ensuring robust data security measures.

The solution

Our innovative solutions spanned various domains, culminating in a transformative AI Assistant development process. In the realm of AI, we crafted an AI API endpoint as the nucleus of AI-related tasks, holding on formatting guidelines for structured output and adeptly managing multi-user and concurrent requests. The integration of OpenAI’s GPT-3 endowed the AI Assistant with natural language interaction capabilities, fostering meaningful exchanges with users.

The project’s computer backend was built using Python. To make the program smart and able to chat with users, we used the OpenAI API and GPT-3, which are like the brains behind the scenes. We created a special way for the program to talk to users through a system called FastAPI, which helps everything run smoothly. When it came to putting the program online for people to use, we used Heroku, a platform that ensures it stays available and works well. This combination of tools allowed us to create a helpful and easy-to-use finance assistant for the project, making it popular in the finance and online shopping world.

The outcome

The collaborative efforts achieved remarkable outcomes. The client’s expression of satisfaction resonated through multiple emails, attesting to the project’s efficacy and user-friendly nature. Notably, the AI Assistant played a pivotal role in augmenting the client’s investor meetings and funding endeavors, elevating the quality of their financial presentations and insights. This success reverberated through the industry, with our project garnering recognition for its innovative approach and impressive usability, leading to influencer attention and commendation on LinkedIn.

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Project Software

Affiliate Flow System

The story

The client is a Financial Services company based in Sweden, sought to revolutionize the buying and selling of cryptocurrencies by creating a smooth payment solution using Blockchain technology. Founded in 2016 and listed on NGM Nordic SME, their goal was to provide both customers and e-merchants with a hassle-free crypto payment experience.

The challenge

They faced the challenge of developing a platform to facilitate cryptocurrency transactions. They needed to build two key components of their business: an Affiliate Flow system for cryptocurrency registration and trading, and a Merchant Payment solution for fast and secure payments. They also required robust security measures and integration with third-party services.

The solution

Team FiftyFive collaborated closely with the client to transform their ambitious vision into reality. Acting as an extension of the client’s workforce, we harnessed their expertise across diverse technologies to deliver an array of pivotal solutions. Firstly, we crafted a top-tier Merchant Payment solution, a cornerstone of the client’s operational framework, designed to expedite payment processing and settlements. Additionally, we introduced an array of essential Platform Functionalities, including robust profile verification mechanisms to combat money laundering, smooth third-party integrations, and the development of a white-labeling feature tailored for casino operations. Complementing these advancements, the team constructed a resilient Affiliate Flow System, streamlining cryptocurrency registration and trading. In the realm of technology, PHP, Laravel, and MySQL powered the Affiliate Flow System, while Python, Django, and React were the driving forces behind the Merchant Payment solution, ensuring a well-rounded solution for the client’s crypto journey.

The outcome

The team of tech experts not only successfully addressed the client’s concerns but also delivered a top-quality solution that brought about several significant outcomes. Firstly, we bolstered security measures within the solution to ensure the utmost safety of transactions. Additionally, we optimized payment flows, introducing a merchant back office for transaction monitoring and an admin back office system for administrative functions. Process improvements were also a key focus, with the team implementing code optimization, adopting a test-driven approach, and efficiently hosting over 30 domains with multiple user interfaces. These efforts collectively elevated the client’s crypto journey by creating a highly responsive platform, establishing an independent design system for effective branding, and ultimately delivering an exceptional user experience.

In summary, the collaboration between the client and FiftyFive led to the successful development and deployment of innovative solutions, greatly enhancing the ease and security of cryptocurrency transactions for both customers and merchants alike.

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Project Software

A Paperless Solution

The story

The challenge at hand revolved around the cumbersome process of managing accounting records using the widely used software, Tally. While businesses recorded their day-to-day transactions in Tally, they also maintained physical copies of these transactions in hard copy files. Over time, this led to the accumulation of a vast collection of files, making it arduous to find specific records when needed. This not only wasted time but also contributed to the wastage of paper, a concern for the environment. The solution was to digitize these documents, creating a paperless environment to enhance productivity and reduce the environmental impact.

The challenge

Challenges in this revolved around time-consuming and labor-intensive tasks associated with maintaining physical accounting records. The manual upkeep of paper files imposed significant time and effort constraints, resulting in elevated manpower costs. Moreover, managing records both in Tally and physical files led to redundant work, exacerbating the efficiency dilemma. Retrieving specific documents from an extensive collection of physical files proved arduous and inefficient.

Furthermore, manual data entry from physical records into the accounting software introduced delays and a risk of errors, compounding the operational challenges faced by the organization.

The solution

The solution entailed the development of a dedicated application designed to optimize the management of transaction records, invoices, and bills generated during financial periods. This comprehensive solution introduced various advantageous features, such as a centralized in-house database, offering convenient access to records, liberating valuable manpower resources for more strategic tasks, and delivering daily, weekly, and monthly insights to top management.

Additionally, the app facilitated the digital transformation of all documents, reducing paper usage and its environmental impact. It also offered a user-friendly dashboard for monitoring document health, audit reports, and tags, enabling seamless synchronization of documents with accounting transactions, and provided comprehensive information on vouchers, users, and storage utilization. Moreover, it simplified access to recent files and allowed users to bookmark important documents, all while facilitating bulk downloading of vouchers for enhanced efficiency and productivity.

The technology stack employed in the development of this application was a well-rounded combination of various tools and frameworks. On the frontend, Flutter, Dart, and Riverpod were utilized to craft a user-friendly and cross-platform user interface. For the backend, Java and Spring Boot were deployed to handle server-side logic and API development, ensuring robust functionality. Additionally, the incorporation of PyTorch in the AI and ML domain hinted at potential applications for advanced capabilities, although specific use cases were not explicitly outlined.

The outcome

The successful implementation of this solution yielded multiple advantages. It streamlined the accounting process, offering a more accessible means for managing entries, while also providing insightful reporting through user-friendly dashboards and reports. Consequently, daily operational insights became readily available.

Moreover, the solution resulted in substantial time savings by optimizing manpower resources, thus reducing operational costs. One of the significant achievements was the consolidation of accounting and Tally-related processes into a single platform, enhancing efficiency. Additionally, the implementation introduced various user roles, each with specific permissions to ensure effective application management and access.

These roles encompassed the Admin, responsible for comprehensive user and company management, the Manager, with slightly restricted access similar to Admin, the Auditor, authorized to approve/disapprove vouchers as needed, the Accountant, granted access to specific features but without authority to manage requests, approve/disapprove vouchers, or delete files, the User, with diverse permissions like adding, downloading, deleting, renaming, and locking files, and Read-Only Users, limited to accessing the dashboard without the ability to modify files.

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