Case Studies

<ul><li>Boosting agent productivity and customer satisfaction by applying Generative AI and LLM technology</li><li>30% reduction in the processing time for each call compared to traditional call center methods</li><li>Standardizing responses to customer questions by providing accurate, comprehensive, and real-time information through an AI-driven knowledge base.</li></ul>

Project Highlights

Telecom & Networking

Industry:

Canada

Location:

Our client is a customer service agency, which provides call center solutions for companies in different industries such as E-commerce, Retail, and Logistics. The company targets at creating transformative customer journeys that help brands achieve substantial growth through exceptional customer experiences.

About Client

The client confronts challenges associated with a burgeoning call volume, escalating agent workload, and the need for consistent and efficient responses. Inconsistencies in agent replies and prolonged onboarding processes for new staff further complicate the situation.Maintaining high customer satisfaction is crucial, but the client is also focused on optimizing costs by reducing the number of call center agents. The dynamic nature of the industry adds an additional layer of complexity, requiring adaptability in addressing evolving customer queries.To overcome these challenges, the client seeks to implement a Smart Call Center Assistant Solution, leveraging Generative AI and Large Language Model (LLM) technology. The goal is to enhance agent productivity, streamline training processes, and provide real-time guidance to ensure standardized and high-quality customer interactions. That’s where TMA - a trusted software outsourcing partner, with 12-year expertise in AI development services can help.

Seeking technology solution to handle increasing call volume, agent inconsistencies, and cost pressures in customer service operations


Client Challenges

Real-time speech recognition. Our solution employs real-time audio streaming during voice calls. Utilizing a speech to text technology. It analyzes customer’s voices to understand their questions and then proposes corresponding answers from the AI-powered knowledge base.AI-powered knowledge base. Leveraging OpenAI GPT models and LlamaIndex, our solution analyzes vast volumes of unstructured and structured data. It delivers precise, accurate, and concise information to customer queries, creating an intelligent knowledge base.

Smart AI-driven call center assistant solution 


Solutions

With the work completed by TMA AI outsourcing service, the solution helped:<ul><li>Enhance agent productivity: Increase agent productivity with context-based suggestions and enable call center agents to respond quickly, ensuring consistency, accuracy, and superior customer interactions. When the solution is initially implemented, the average duration to process for each call is reduced 20% when compared to a traditional call center.</li><li>Optimize resource: The number of call center agents is reduced by 20%, resulting in cost savings and increased operational efficiency.</li></ul>

Benefits

AI-powered Virtual Assistant streamlines call centers with speech-to-text analysis, enabling intelligent resolution via a dynamic knowledge base.

Case Study: AI Smart Call Assistant Increases Productivity

Smart AI-driven call center assistant solution. Utilizing a speech to text technology. It analyzes customer’s voices to understand their questions and then proposes corresponding answers from the AI-powered knowledge base.

Case study: Boost productivity with Smart call center assistant powered by Generative AI

An application running on agent’s PC to capture real-time audio and provide suggestions for customers’ queries using GenAI and

Boost productivity with AI-powered Smart Call Center Assistant

<ul><li>Utilize smart cameras equipped with edge AI for real-time detection and alerts for unusual behavior.</li><li>Include capabilities for gun detection, aggression detection, vandalism &amp; throwing detection, trespassing detection, loitering detection, and crowd detection.</li><li>Enable faster and more accurate detection of potential threats, enhancing public safety and security responsiveness.</li></ul>

Solution Highlights

Public areas such as parks, streets, and community centers face significant safety challenges due to:<ul><li>Slow surveillance response:&nbsp;Delays in traditional surveillance systems hinder timely threat detection and response.</li><li>Heavy reliance on manual monitoring: Dependence on human monitoring creates gaps in security coverage, making it difficult to detect emergent threats.</li><li>Vulnerabilities due to human error:&nbsp;Relying on humans to monitor security can lead to oversight of subtle or rapidly evolving situations, resulting in serious security threats.</li></ul>Recognizing the limitations of traditional surveillance, governments, and local authorities are increasingly adopting AI-powered systems to enhance security in public spaces. In response, TMA has developed advanced AI solutions to efficiently detect unusual behavior in real time.

Problem Statement

The solution integrates smart cameras equipped with edge AI technology to provide comprehensive real-time surveillance in public spaces, including the following functions:<ul><li>Gun detection</li><li>Aggression detection</li><li>Vandalism &amp; Throwing detection</li><li>Trespassing detection</li><li>Loitering detection</li><li>Crowd detection</li></ul>Additionally, the system is equipped with a management website that features a user-friendly dashboard for monitoring, a list of all cameras, and customizable settings for each camera. This allows for real-time video feeds and incident reporting, ensuring tailored and efficient surveillance for various public space needs.

Smart cameras with edge technology provide real-time detection and alerts for unusual behavior.

Solution

<ul><li>Real-time detection of potential crimes &amp; violations:&nbsp;Continuous monitoring of surroundings to identify suspicious activities or behaviors.</li><li>Enhance public safety: Immediate detection of crimes and violations ensures a safer environment for the community.</li><li>Reduced reliance on manual monitoring: Decreased need for constant human supervision, allowing for a more streamlined workforce.</li></ul>

Smart cameras with integrated edge AI technology provide comprehensive real-time detection and alerts for enhanced public space surveillance.


Case Study: Public safety monitoring with smart camera

Smart cameras with edge technology provide real-time detection and alerts for unusual behavior. The solution integrates smart cameras equipped with edge AI technology to provide comprehensive real-time surveillance in public spaces


The solution integrates smart cameras equipped with edge AI to provide comprehensive real-time surveillance and alerts in public

Public safety monitoring with smart camera

<ul><li>Support extract health indexes such as blood pressure, blood glucose, body temperature from 30 medical devices, prescriptions, and in-body physical results</li><li>Allow users to customize to extract content they want by labeling which field to get data</li><li>Applied in healthcare service providers such as remote health monitoring, clinics, pharmacies, nursing home</li></ul>

The healthcare industry faces significant operational challenges that hinder its ability to provide efficient and effective patient care. From manual data entry to the management of diverse medical records, these challenges compromise the quality of healthcare services and pose risks to patient safety. The key issues include:<ul><li>Inefficient manual processes: Healthcare staff spend considerable amounts of time on manual data entry and analysis, a labor-intensive process that diverts resources away from patient care and contributes to operational delays.</li><li>Risky errors:&nbsp;The reliance on manual processes for data handling increases the likelihood of errors. Mistakes in data entry or analysis can lead to incorrect treatment plans, affecting patient outcomes.</li><li>Scattered records: Patient records are often dispersed across various formats and systems, making it difficult for healthcare providers to access a complete and integrated patient history.&nbsp;</li></ul>The absence of quick and reliable access to comprehensive patient data slows down decision-making processes. Healthcare providers find it challenging to make timely, informed decisions, impacting the overall efficiency of healthcare delivery.

TMA’s OCR solution offers a comprehensive solution to the challenges facing the healthcare industry. Our OCR solutions comes with:<ul><li>Content extraction from various sources:&nbsp;The solution can extract content from a wide range of sources, including more than 30 popular medical devices, such as MediUSA, Microlife, Omron, A&amp;D Medical, Wellue, Sinocare, Checkme, or Accu-Check. It also supports collecting data from prescriptions and in-body results. This capability ensures that critical data, such as blood pressure, blood sugar levels, body temperature and other vital health metrics, can be digitized accurately and efficiently.</li><li>Dynamic template creation: Recognizing the diversity of data types and formats in the healthcare sector, our solution offers a dynamic template feature. Users can create custom templates by labeling specific fields in an initial sample document. Once set, the OCR system automatically identifies and extracts data from these predefined fields in subsequent documents.</li></ul>

<ul><li>Enhanced operational efficiency:&nbsp;Automating data entry tasks and prescription management streamlines processes, reduces administrative works, and increases operational efficiency within healthcare settings.</li><li>Effective accessibility: The digitization of healthcare records and test results through OCR technology enables healthcare providers to access critical patient information remotely and make informed decisions promptly.</li></ul>

Our OCR solution has successfully been applied in many healthcare service providers in Vietnam, which helps automate customer data extraction, hence streamline and optimize their operation.Beyond healthcare, TMA’s OCR solution has been used in many projects in other industries, including finance, banking &amp; insurance, retail, manufacturing, logistics, education, and recruitment.

Success Stories

Extract health indexes from 30 devices & prescriptions. Users can customize data extraction for remote monitoring, clinics, pharmacies & nursing homes.

Case Study: Automating Healthcare Data Collection with OCR

Support extract health indexes such as blood pressure, blood glucose, and body temperature from 30 medical devices, prescriptions, and in-body physical results. Allow users to customize to extract content they want by labeling which field to get data and apply in healthcare service providers such as remote health monitoring, clinics, pharmacies, and nursing homes.


Case Study: Apply OCR in Healthcare solutions to automate data collection

Extract health indexes such as blood pressure, blood glucose, body temperature from 30 medical devices, prescriptions, and in-body

Apply OCR in Healthcare solutions to automate data collection

<ul><li>Utilize cutting-edge AI technology - sound analysis to enhance real-time fault detection during the valve manufacturing process.</li><li>Achieve up to a 99% rate of faultless products, markedly improving product quality consistency, and reliability.</li><li>Enhancing quality control and manufacturing efficiency by automating the detection and removal of faulty products.</li></ul>

Manufacturing

Vietnam

Our client, a leading manufacturer in the construction materials industry, specializes in manufacturing and supplying pipe accessories, spray cans, labor helmets, and high-quality engineering plastics. Based in Vietnam, the company aims to leverage technological advancements to maintain exceptional quality control in its products.

About Client 

As our client's business grew, the limitations of traditional manual quality checks became apparent.&nbsp; With an increasing volume of orders, the existing processes struggled to maintain the high standards of valve manufacturing.Inconsistencies and potential errors became more frequent, directly impacting product quality. Additionally, the limited labor force was unable to ensure every product was faultless before delivery.&nbsp;Recognizing these challenges, our client sought a proactive solution to detect and correct faults during the manufacturing process itself. TMA Solutions, a Vietnamese software outsourcing company with expertise in AI applications, was brought in to develop an AI-powered fault detection solution that could automate quality checks, thereby reducing human error and increasing production efficiency.

Client Challenges 

<ul><li>Sound detection:&nbsp;Sound sensors capture signals during valve tightening</li><li>Model classification:&nbsp;Data processing and input into a model for fault and normal valve classification</li><li>Notification: Signals are sent to a robot arm to remove faulty products, ensuring only quality items proceed in production</li></ul>

A sound-based fault detection system utilizing advanced AI to detect anomalies during the valve manufacturing process

With the work completed by TMA AI outsourcing service, the solution helped:<ul><li>Enhance quality control:&nbsp;Real-time fault detection significantly improves product quality consistency and reliability, achieving a faultless product rate of up to 99%.</li><li>Increased production efficiency: Automation of fault detection and product segregation increases production efficiency, reducing bottlenecks and downtime.</li><li>Scalability: The system's flexibility allows it to adapt to increased production volumes without the need for proportional increases in labor.</li></ul>

Utilize cutting-edge AI technology - sound analysis to enhance real-time fault detection during the valve manufacturing process.

Case Study: AI Sound-Based Fault Detection for Manufacturing

Case Study: AI sound-based fault detection system in manufacturing

Utilize AI-based sound analysis to enhance real-time fault detection during valve manufacturing, improving product

AI sound-based fault detection system in manufacturing

<ul><li>Implement an advanced credit scoring algorithm leveraging AI/ ML models to enhance risk assessment</li><li>Utilize of a variety of data sources including demographic, credit history, and transaction data to gain a holistic view of each customer's financial standing</li><li>30% reduction in the average time taken for credit evaluation compared to before AI implementation&nbsp;</li></ul>

The client is a car rental service provider from Australia, offering a range of vehicles for both short-term and long-term usage. Their fleet ranges from economy cars for city travel to luxury models for high-end clients, and utility vehicles for business needs, ensuring that every customer finds a match for their requirements.

This challenge stems from limitations in their current risk assessment tools and methodologies, which fail to capture a complete and accurate picture of an individual's financial health. This problem is attributed to:<ul><li>Reliance on manual entry: The reliance on manual data entry, which is prone to human error, leads to inaccuracies in the risk assessment process.</li><li>Lack of integrated data processing:&nbsp;There is no unified platform to efficiently combine and process information from the various data sources, leading to siloed and underutilized data.</li></ul>Consequently,&nbsp;the client's challenges in their credit risk assessment process can affect their ability to safely rent cars to customers while maximizing their market potential. The company may disqualify individuals with sufficient creditworthiness but unconventional financial profiles. The inability to recognize and incorporate diverse financial indicators into their evaluation process can result in lost revenue opportunities and a narrower customer base.With a constrained internal resource pool and a lack of specialized expertise in building credit assessment platforms, the car rental service recognized the need for software development company assistance. Our client understood that building a platform for credit risk evaluation required a level of resource investment and expertise they did not possess, which is where TMA’s expertise came into play.

Difficulty in assessing credit and financial status

Addressing the challenges presented by the client's current credit risk assessment process requires a comprehensive approach. Our tailored solutions are designed to ensure a more efficient, accurate, and reliable evaluation system.Data collection and unification from multiple sourcesOur first step involves the consolidation of data from a wide array of sources, including geographic locations, transaction history, social media and the diverse datasets currently stored in the client's CRM systems. This phase is crucial for creating a centralized database that offers a holistic view of each customer's interactions and behaviors across different platforms.Data cleaning and abnormality detectionWith the consolidated dataset in place, we proceed to clean the data using statistical indicators to identify and eliminate any anomalies or outliers that could skew the analysis. This step is vital for maintaining the integrity and reliability of the dataset, ensuring that the subsequent evaluations are based on accurate and relevant information.Implementation of AI Models for Advanced AnalysisAt the core of our solution lies the deployment of advanced AI models, with a particular focus on neural networks. These models are adept at handling complex tasks such as classification, regression, and predictive analysis, making them ideally suited for dissecting the intricacies of credit risk. By training these models on the cleansed and unified dataset, we enable a more dynamic and comprehensive evaluation of creditworthiness.

The AI project delivered the following benefits to the client:<ul><li>Enhanced decision-making: With the refined credit scoring algorithm, the client is now able to make more informed decisions regarding whom to rent cars to, reducing the risk of default.</li><li>Improved risk assessment: The AI/ML models provided a more nuanced understanding of customer profiles, which allowed for more precise risk segmentation.</li><li>Increased efficiency:&nbsp;The ML system integration has automated credit evaluations, cutting the average processing time by 30% and enhancing operational efficiency.</li></ul>

Advanced credit scoring algorithm using AI/ML models for enhanced risk assessment. Use a variety of data sources to reduce credit evaluation time by 30%

Case Study: AI/ML for Enhanced Credit Risk Analysis

Provide credit scoring algorithm leveraging AI/ ML models to enhance risk assessment from many data sources, reducing efforts

Enhance Credit Risk Analysis With Aiml Technologies

<ul><li>Leverages advanced AI to detect and identify pests and diseases in the field, aiding effective agricultural management.</li><li>Support farmers in managing and monitoring the progress and development of crops in the fields.&nbsp;</li><li>Reduce manual labor in agricultural processes, thereby increasing productivity by up to 50%.</li></ul>

Rice farmers face significant challenges in managing pests and diseases that can severely impact crop yield and quality. Traditional methods of pest and disease detection are labor-intensive, time-consuming and often lack the precision required for effective intervention. A solution that can provide accurate, timely, and efficient pest and disease monitoring is needed to ensure the health of rice crops and optimize farming operations.Acknowledging these challenges, TMA Solutions, a Vietnamese software development company with expertise in AI applications, developed an advanced AI-powered system to detect and identify pests and diseases in the field. This innovative solution is designed to help farmers effectively prevent and control pest outbreaks, reduce costs, and significantly increase production efficiency.

<ul><li>Pest detection:&nbsp;Use a special pest detection machine to&nbsp;automatically identify and classify insects in the field.</li><li>Detect diseases in rice paddy:&nbsp;Allow users to detect diseases that rice plants are experiencing by taking photos of the plants and uploading them onto a mobile application.</li><li>Real-time notification: Send real-time warnings if the monitoring device detects harmful insects or pathogens on rice plants.</li></ul>

A pest detection system utilizing advanced AI to detect and identify pests and diseases

Solutions 

<ul><li>Flexible deployment: Easily deploy the solution in various environments and situations without requiring major changes or specialized setups.</li><li>Human effort optimization in farming work:&nbsp;Reduce the manual labor required in agricultural processes, thereby increasing efficiency and productivity by up to 50%.</li><li>High accuracy:&nbsp;Deliver precise and reliable identification of pests and diseases up to 90%.</li></ul>

The AI pest detection system brings several key benefits

The AI Pest Detection solution has been successfully implemented across an entire province in Vietnam, with a total of 3 pest detection machines. The solution is now being used to detect and manage 8 different diseases and 8 types of pests in rice paddy fields. This comprehensive deployment has significantly improved the region's ability to monitor and control agricultural threats, leading to healthier crops and increased productivity for local farmers.

Leverages advanced AI to detect and identify pests and diseases in the field, aiding effective agricultural management.

Case Study: AI Pest Detection for Crop Protection by TMA

Leverage AI to detect and identify pests and diseases in the field, supporting managing and

Pest Detection Solution Crop Protection With AI Technology

<ul><li>Use Computer Vision technology to instantly identify and classify various types of road damage.</li><li>Achieve up to 85% accuracy in detecting road damage, significantly improving road safety.</li><li>Enhance road quality by automating the detection and reporting of damage for prompt removal and repair.</li></ul>

Maintaining road quality is a critical aspect of public safety, yet traditional methods of road damage detection are often slow, labor-intensive, and inefficient. Potholes and cracks often go unnoticed and unrepaired, creating safety hazards for drivers and pedestrians. Delayed detection and repair not only compromise public safety but also lead to higher maintenance costs as road conditions worsen over time. This scenario underscores the urgent need for a solution that can provide real-time, accurate detection and reporting of road damage, ensuring timely repairs and optimizing resource allocation.Recognizing these issues, TMA Solutions, with its expertise and capability in software development, developed an AI-powered road damage detection system. Using Computer Vision technology, this solution revolutionizes how road damage is detected and reported, making road maintenance more efficient and effective.

<ul><li>Real-time road damage detection:&nbsp;Utilize Computer Vision technology to identify and classify various types of road damage instantly.</li><li>Map location marking:&nbsp;Pin the detected road damage locations on a map.</li><li>Drivable area segmentation: Segment drivable and non-drivable areas to ensure driver safety.</li></ul>

A real-time road damage detection system utilizing advanced AI in mobile applications to detect road damage in real-time:

<ul><li>Real-time detection and reporting: Detect road damage in real time and display it on a map of the whole road network.</li><li>Efficient resource allocation: Reduce the need for manual road inspections, optimizing the use of maintenance resources.</li><li>High accuracy: Demonstrate high accuracy rates of above 85% on road conditions in India, Japan, and Europe, ensuring reliable results.</li></ul>

Use Computer Vision technology to instantly identify and classify various types of road damage.

Case Study: AI for Road Damage Detection & Quality Control

A real-time detection system utilizing Computer Vision technology in mobile applications to identify and classify various types

Enhance Road Quality With Ai Road Damage Detection System

<ul><li>Personalized simulation training: Develop a solution to monitor and classify user behaviors using AI/ML models, providing personalized security training based on individual risk levels.</li><li>Enhanced data management:&nbsp;Implement data management and real-time processing to handle large volumes of data generated from user interactions with phishing simulations.</li><li>Improved cybersecurity awareness: Utilize data analytics and real-time processing to reduce the likelihood of data spills and phishing fallout by detecting risky behaviors.</li></ul>

Cybersecurity

Australia

Our client is a leading Australian provider of security awareness and phishing simulation training solutions. They educate organizations on cybersecurity threats and offer comprehensive programs to help users recognize and respond to phishing attacks.

To deliver personalized phishing awareness training and mock attacks to the right targeted employees within the company, our client needs data to evaluate and classify employees based on their interactions with phishing simulations. However, as they are not an IT company focusing on data analytics and AI development, they faced challenges in building the necessary infrastructure and expertise to handle this task.&nbsp;TMA, as a leading software solution development company in Vietnam, was approached to provide a solution to these challenges.

Our solution offers comprehensive security awareness and phishing simulation training to identify risky behaviors and provide personalized security training recommendations&nbsp;<ul><li>Behavior tracking: Monitor user interactions with phishing simulations to identify and classify risky behaviors. For example, if a user frequently clicks on phishing links, the system can identify this as risky behavior and classify the user as high-risk.&nbsp;</li><li>Customized training recommendations: Provide personalized security course recommendations based on individual user behavior and risk levels.</li></ul>

<ul><li>Tailored training programs:&nbsp;Allow users to receive training suited to their specific levels and knowledge, improving overall training effectiveness.</li><li>Enhanced data security:&nbsp;Reduce the likelihood of data spills or phishing fallout impacting organization by tracking and detecting user risky behaviors on the phishing emails.</li><li>Fostering cybersecurity awareness:&nbsp;Promote a culture of cybersecurity awareness within organizations, making users better equipped to handle phishing threats.</li></ul>

Develop AI/ML-based simulation training to monitor user behavior and provide personalized security training based on individual risk levels.

Case Study: AI/ML Training to Mitigate Security Risks

A solution to monitor and classify user behaviors using AI/ML models, providing personalized security training based on

Mitigate Security Risk With AI/ML Application In Training Solution

<ul><li>Design and develop a new client portal to ensure comprehensive insurance purchases via any devices.</li><li>Enhance existing site performance by up to 30%, ensuring optimal functionality.</li><li>Optimize claim processes by more than 20%, reducing turnaround time and improving efficiency.</li></ul>

Insurance

Australia and New Zealand​

Our client is a company specializing in pet health tech and a top-tier pet insurance provider in Australia and New Zealand. The company is striving to leverage the latest technologies to provide the innovative claim solution that supports a million claims each year.

In today's digital landscape, where mobile devices serve as the primary gateway to online services, our client faces the pressing challenge of modernizing their web portal to align with evolving user preferences. Despite a significant portion of customers initiating their journey through mobile devices, the current online purchasing process presents complexities and lacks mobile-friendly design, potentially hindering insurance package purchases.Furthermore, with the aim to optimize user experience and operational efficiency, our client seeks to enhance their claim platform to accommodate a substantial volume of claims—up to a million annually. Ensuring swift and seamless claim processing is paramount to delivering exceptional service and retaining customer satisfaction.To address these challenges, our client has collaborated with TMA Solutions, a Vietnamese software development company that expertises in creating visually appealing, mobile-responsive interfaces while bolstering the scalability and performance of their claim platform. By revitalizing their digital presence and optimizing claim processing capabilities, our client aims to enhance overall user experience and drive business growth in the competitive insurance landscape.

<ul><li>Mobile-First Website Redesign:&nbsp;TMA Solutions undertook a comprehensive redesign of the client's web portal, prioritizing mobile responsiveness and user-friendly design. This ensured that customers could seamlessly navigate the site and complete insurance purchases on any device.</li><li>Streamlined Claim Platform:&nbsp;Leveraging their expertise in scalable software solutions, TMA optimized the client's claim platform to handle a high volume of claims efficiently. This involved implementing robust backend systems and streamlined processes to ensure swift and seamless claim processing.</li><li>Enhanced User Experience:&nbsp;Through TMA support, the client was able to significantly enhance the overall user experience. From simplified purchasing processes to expedited claim processing, every touchpoint was optimized to maximize customer satisfaction and retention.</li></ul>

Redesign Pet Insurance Management Platform that enhances the user experience and optimize claim process.

<ul><li>Claiming processes were optimized by over 20%, enhancing overall efficiency.</li><li>Monitoring information on the Site Portal reduced invoice loss risk and errors by up to 30%, mitigating financial risks.</li><li>Integration with vet records facilitated accurate pet and user information, streamlined subscription purchases, and simplified appointment booking processes.</li></ul>

With the work completed by TMA software development service:

Design and develop a new client portal to ensure comprehensive insurance purchases via any devices.

Case Study: Streamline Claims with Pet Insurance Platform

Design and develop a new client portal to

Streamline User Experience and Claims with Pet Insurance Platform

<ul><li>Streamlining the learning process by providing a personalized course-finding platform applying Generative AI technology</li><li>Introducing an innovative chatbot, powered by Generative AI technology to assist learners in navigating the course discovery journey</li><li>Automatically populating learning materials into the Learning Management System (LMS) for a streamlined and efficient educational experience</li></ul>

Education

Our customer is an Edtech company aimed to provide an extensive course directory driven by intelligence course discovery solutions. The company has the ambition of transforming the Education industry in Australia from manual intensive work into fully automated processes through Generative AI technology.

Implementing a Learning Management System (LMS) that facilitates the administration, delivery, and management of thousands of courses and training programs. 

Chatbot-supported platform. Our solution introduces a chatbot-supported, personalized course discovery platform, leveraging Generative AI capabilities to guide learners through the course-finding process, providing tailored assistance and enhancing the overall user experience.Generative AI-driven learning experiences. Our platform, driven by Generative AI algorithms, ensures learners discover personalized courses with experiences woven into lectures, assignments, and examinations.Streamlined course deployment. This innovative solution doesn't stop at personalized content; it extends to streamlining the course deployment process. Automation seamlessly integrates learning materials into the LMS, ensuring a more efficient and error-free deployment experience for both administrators and learners.

Chatbot-supported, personalized course discovery platform for tailored 
learning experiences

With the work done, outsourced by TMA, the customer has completed:<ul><li>A smart course finder platform with a chatbot specialized in finding the right courses for end-users.</li><li>The provision of a full, complete LMS ensures a seamless and user-friendly environment for administrators and learners.</li><li>The implementation of a functional course generator has garnered significant attention from stakeholders and investors.</li></ul>

Streamlining the learning process by providing a personalized course-finding platform applying Generative AI technology

Case Study: Enhance UX with AI-powered Smart Course Finder

Case study: Enhance user experience with Smart course finder solution applying Generative AI

Streamlining and enhancing the learning process by providing a personalized, chatbot-supported course discovery platform applying Generative

Enhance UX with Smart course finder solution applying Generative AI

<ul><li>Integration of Chatbot solution to improve response times to user inquiries, significantly reducing negative feedback and enhancing overall customer satisfaction.</li><li>Equipped with advanced functionalities to handle a wide range of tasks, including addressing user inquiries, automating routine tasks, and providing reliable health information as well as basic mental health support.</li></ul>

Project highlights

Healthcare

Our client specializes in Remote Health Monitoring and Care solutions, catering to individuals, families, and healthcare organizations across Vietnam. They develop an app that enables their end users to track personal health data, access telehealth services, and receive personalized health insights.

<ul><li>Negative feedback from customers when there is delay in responding to their questions.</li><li>High operational costs on providing customer service.</li><li>Resolving queries via calling hotlines or providing FAQs/ instruction guideline is not convenient to end-users, especially elderly users.</li></ul>

As the number of users increases, our client faces growing difficulties, including:

<ul><li>Addressing queries through a knowledge base derived from FAQs and instructional documents.</li><li>Interpreting health diagnosis data and providing comprehensive summaries of user health metrics.</li><li>Managing customer requests including scheduling appointments with doctors, planning workouts, and setting reminders that support users in monitoring and reaching their health objectives (weight, calorie intake, steps, and sleep pattern).</li></ul>

TMA’s health virtual assistant is integrated into our client’s app, offering support to users

<ul><li>Enhanced customer satisfaction: Reduce negative feedback by improving response times to customer inquiries.</li><li>Cost efficiency: Cut operational costs by 25% through automation.</li><li>Streamlined health management: Facilitate better health management with automated reminders and easy access to health information.</li></ul>

Integrate a Chatbot solution to speed up inquiry response times, significantly reduce negative feedback, and enhance overall customer satisfaction.

Case Study: Enhancing Healthcare with a Virtual Assistant

Integration of Chatbot solution to improve response times to user inquiries, reducing negative

Enhance customer experience with Healthcare virtual assistant

<ul><li>Leverage facial recognition technology for user authentication when the customers drop off or pick up personal belongings using the locker</li><li>Provide an end-to-end smart locker solution, including hardware integration, installation and maintenance for retail customers</li><li>Reduce operational expenses for retailers and help build a high-tech brand image by improving the customer experience during locker use</li></ul>

In the highly competitive retail industry, businesses are continuously seeking innovative solutions to enhance their brand image and gain a competitive edge. One area of focus has been the implementation of locker solutions for customer convenience and operational efficiency. However, current practices involving the use of lockers with QR codes on paper or physical keys have presented significant challenges:<ul><li>Operational cost: The practice of issuing QR codes on paper or managing physical keys incurs additional operational costs. This includes expenses related to printing, managing, and replacing lost or damaged codes and keys, which can burden retailers financially.</li><li>Customer inconvenience: The necessity for customers to carry around physical keys or paper QR codes causes inconvenience and potential friction in the shopping experience. The risk of losing these items can lead to customer dissatisfaction and potential security issues, impacting the overall perception of the retailer's commitment to customer convenience and security.</li></ul>Understanding the existing problems, TMA has developed a T-Locker solution for the retail industry leveraging AI technology that helps minimize operational costs and optimizes customer satisfaction.

The T-Locker AI-powered Smart Locker system represents an innovative solution in the retail industry, offering secure and convenient storage options through advanced AI technology. By integrating facial recognition technology, the system enhances both the customer experience and operational efficiency in public spaces.<ul><li>Intuitive touch screen interface: Facilitates belonging drop off and pick up through a user-friendly interface, giving a seamless experience for customers</li><li>Security through AI technology: Leverages facial recognition technology to authenticate users. Beyond simple facial recognition, T-Locker incorporates advanced AI features like liveness detection to prevent fraudulent access attempts using photographs or videos.</li><li>Data-driven insights: Empowers retailers with analytics on locker usage and customer behavior, enabling informed decision-making and operational improvements.</li></ul>

T-Locker - Smart locker for retails using facial recognition technology

<ul><li>Enhanced customer experience: Streamlines the storage process, making it more convenient and enjoyable for customers, avoiding the potential for losing keys or QR code, and hence enhancing their overall shopping experience.</li><li>Modern brand perception: Makes retailer brands more appealing to customers and significantly contributes to crafting a modern brand impression.</li><li>Reduced operational costs: Lowers operational expenses by eliminating the need for printing QR codes and managing physical keys.</li></ul>

The T-Locker AI-powered Smart Locker system has successfully been deployed across leading supermarket chains in Vietnam (Emart, Lotte, etc.), addressing their need for enhanced customer security and convenience. This innovative solution, leveraging facial recognition technology, offers shoppers a convenient way to store their belongings, improving the shopping experience and customer satisfaction.Beyond customer benefits, the implementation of T-Locker significantly streamlines operational processes for the chains, reducing the burden of manual locker management and surveillance. TMA's smart locker using face recognition is an innovative solution that not only enhances retail operations but also brings customer service excellence in the industry.

Leverage facial recognition technology for user authentication when the customers drop off or pick up personal belongings using the locker.

Case Study: AI-Driven Smart Locker Solution for Secure Storage

Case study: Ensure secure storage with AI-driven Smart locker solution

Leverage facial recognition technology for user authentication when the customers drop off or pick up personal belongings using

Ensure secure storage with AI-driven Smart locker

<ul><li>Leveraging advanced text-to-speech and speech-to-text technologies to enable hands-free interaction, ensuring the app accessibility and usability</li><li>Integrating real-time GPS data with Generative AI to deliver dynamic, location-based trivia content, enriching user engagement</li><li>Increasing user experience by offering personalized and continuously refreshing content relevant to their surroundings</li></ul>

Automotive

America

Our client is a leading company that manufactures automotive components including transmissions, navigation systems, and brake systems. With a global presence, it is committed to quality, innovation, and sustainability, focusing on advancing automotive technology and contributing to the future of mobility.

Our client developed a trivia challenge app aimed at allowing drivers to ask questions about their points of interest (POI). However, the existing app is facing the below limitations:&nbsp;Safety concerns due to manual interactionThe client's trivia app requires drivers to use touchscreens to conduct the Question and Answer session for the target destinations. These activities might distract drivers, posing safety risks by diverting their attention from the road.Static and non-location-based Trivia contentThe app is unable to offer real-time, location-based trivia questions, missing the chance to engage drivers with relevant content based on their surroundings. This limitation kept the trivia experience static and disconnected from the driver's journey, reducing personalization and engagement.To address the Trivia app's limitations, our client sought a technology partner with expertise in AI and automotive software development to help them deal with current challenges. They selected TMA for its strong capabilities in Automotive and AI, aiming to leverage generative AI to enhance content dynamism and driver experience.

To tackle the app's challenges, TMA deployed an innovative approach focused on enhancing hand-free engagement and real-time dynamic content.Hands-free interaction application with NLP technologyTMA applied advanced text-to-speech and speech-to-text technologies, enabling drivers to interact with the app via voice commands. This reduced the need for manual input, minimizing distractions and making the driving experience safer.Providing dynamic, location-based content using Generative AITMA has enhanced the trivia app experience by integrating real-time GPS data with Generative AI, leveraging APIs from Google Maps, Apple Maps, and OSRM (Open Source Routing Machine) to provide precise location information. This data is then utilized by ChatGPT to generate trivia questions that are highly relevant and tailored to the drivers' current locations.&nbsp;

With the outsourcing work completed by TMA Automotive Software Center, the solution brings:<ul><li>Improved accessibility and convenience:&nbsp;The integration of NLP technology makes the app more accessible and convenient for drivers. They can now engage with the trivia content more freely and comfortably without the need to navigate through touchscreens.</li><li>Personalized experience:&nbsp;By utilizing real-time GPS data to generate location-specific trivia questions, the app offers a highly personalized experience that resonates with the drivers' immediate surroundings.&nbsp;</li><li>Educational value:&nbsp;Location-specific trivia enriches the driving experience with educational content about the surroundings, adding value beyond mere entertainment.</li></ul>

Utilize advanced speech tech for hands-free interaction, enhancing app accessibility. Integrate real-time GPS and AI for location-based trivia content.

Case Study: Enhance Driver Experience via Generative AI

Leveraging advanced text-to-speech and speech-to-text technologies to enable hands-free interaction, ensuring the app's accessibility and usability. Integrating real-time GPS data with Generative AI to deliver dynamic, location-based trivia content, enriching user engagement. Increasing user experience by offering personalized and continuously refreshing content relevant to their surroundings


Case study: Optimize driver experience in trivia challenges leveraging Generative AI

Our client is a leading company that manufactures automotive components including transmissions, navigation systems, and brake systems. With a global presence, it is committed to quality, innovation, and sustainability, focusing on

Enhance Driver Experience in Trivia Challenges with Generative AI

<ul><li>Studio owners can create classes for all members and track heart rate metrics with ANT+ devices, Cardio connection, and manage member and device profiles.</li><li>IoT devices are integrated into the In-App, Mobile, and Website for communicating and monitoring member data during workouts.</li><li>CRM application allows studio owners and users to manage lead dashboards, calendars, events, KPI goals, emails, messages, and user profiles.</li></ul>

Industries: 

Location: 

Our client, a franchise of boutique American fitness studios, specializes in group workouts that combine heart rate zone training with strength exercises. They utilize heart rate monitors in their classes to provide personalized guidance, indicating when participants should push harder or take a break to recover.

As the client's fitness studio franchise expanded nationwide, the urgency to enhance the gym experience grew. Their existing systems couldn't deliver the personalized, efficient workouts customers wanted. Moreover, the client recognized that they were not fully utilizing their user data. They faced the challenge of transforming this data into customizable workout plans to retain existing members and attract new ones with tailored fitness experiences.To address these issues, they sought a fitness platform solution that could:<ul><li>Collect and analyze data: Gather and utilize user data to develop a comprehensive training program based on heart rate, metabolism, fat burn, and calorie indicators.</li><li>Enhance coach-trainee interaction: Develop a fitness app that monitors trainees using their devices, enabling coaches to interact with members in the studio and assess the efficacy of the training regimen.</li></ul>TMA, chosen by our client for expertise in software development services, developed a fitness solution that collects data from trainees and automatically creates personal workout plans based on the client's database.

Seeking a multi-platform gym solution that could adapt to a big chain of fitness studios

Real-time Workout data recognition:&nbsp;Employ real-time workout data communications from fitness equipment devices via Ant+ Legacy and Bluetooth protocols.&nbsp;Customer service: Create a customer relationship management application&nbsp;that:<ul><li>Personalizes member experiences, boost engagement, and drives loyalty.</li><li>Optimizes class booking and service/membership registration for a smoother experience for both staff and clients.</li><li>Fosters deeper customer interaction through targeted communication strategies.</li></ul>

Integrating IoT solutions with multiple third parties to enhance the management of owner studios

With the work completed by the TMA outsourcing service, the solution helped:<ul><li>Expand for Indoor/Outdoor Workouts: Develop companion apps like OTLive and OTF Mobile to extend studio services for indoor/outdoor workouts, especially during COVID-19.</li><li>Improve trainee experiences:&nbsp;Optimize workout experience and results through personalized routines based on customers' data to boost performance with measurable health metrics.</li></ul>

IoT devices are integrated into the In-App, Mobile, and Website for communicating and monitoring member data during workouts.

Case Study: IoT Fitness Optimizes Trainee Experience

Our client, a franchise of boutique American fitness studios, specializes in group workouts that combine heart rate zone training with strength exercises. They utilize heart rate

Optimize trainee experience with IoT Fitness solution

<ul><li>Leverage subscription-based service that delivers pet supplies (food, treats, toys, and grooming products) directly to customers' doors.</li><li>Assist pet trainers and behaviorists in managing client information, training plans, progress tracking, and scheduling.</li><li>Manage reservations, check-ins, check-outs, and pet care preferences via pet boarding facilities.&nbsp; &nbsp;</li></ul>

ASEAN, ASIA

Our client is a veterinary hospital system, specializing in providing pet services such as pet insurance, ultrasound, spa, pet origin certificate, testing, and surgery.

<ul><li>Incomplete, inaccurate, and not integrated data leads to incorrect recommendations.</li><li>Users and pet owners rarely input data and use the software due to its unappealing template, and appearance.</li><li>Delays in customer support and education.</li></ul>

The application of software technology in the pet care industry is currently at a record high and growing. However, the client’s software is facing the following operational challenges:

<ul><li>AI Pet Health Analysis: Apply AI and machine learning to analyze pet health data, helping diagnose issues and plan treatments.</li><li>Intuitive Health Platforms: Offer user-friendly health platforms, making health business operations transparent and efficient with easy-to-use interfaces.</li><li>Chatbot Support for Pet Owners: Using chatbot to assist pet owners in providing personalized guidance and troubleshooting for software usage.</li></ul>

<ul><li>Comprehensive health tracking for pets in one place.</li><li>Personalized health recommendations based on pet data.</li><li>Integration with vet records for accurate medical history.</li><li>Reminders for medication, vaccinations, and appointments.</li><li>Improved communication between pet owners and veterinarians.</li></ul>

Apply AI and machine learning to analyze pet health data, helping diagnose issues and plan treatments.

Case Study: AI solution for optimized pet health center

Apply AI and machine learning to analyze pet health data,

AI solution for optimized pet health center

<ul><li>Modernize legacy systems by migrating them to the cloud service (AWS), enhancing reliability and scalability.</li><li>Increase operational productivity through the integration of CI/CD deployment, streamlining development and deployment processes.</li><li>Scale the platform by optimizing performance, ensuring efficient and reliable operation for all users.</li></ul>

Senior Care

Our client is a management company specializing in elder care services. They offer consulting services to local assisted-living facilities, addressing a variety of aging and disability-related issues. Additionally, our client owns and operates a chain of similar facilities throughout the EU.

With the increasing demand for health care services for the elderly in the Nordic region with more than 400,000 customers regularly using the service every day, our customers are facing system overload leading to delays in providing services and promptly reporting health conditions to them and their families.To address these issues, they sought a solution that could:<ul><li>Improve system performance:&nbsp;Casily access, monitor, and manage devices such as mobile social alarms, remote monitoring, and alarm response services offered to local authorities, service providers, or individuals for multiple devices connected at the same time without having an overload problem.</li><li>Build a friendly UX/UI for both the website and mobile application:&nbsp;The collected data shows that the majority of customers use their phones to access the service. Therefore, they want to refresh the website's UI/UX and optimize it for mobile devices.</li></ul>TMA, chosen by our client for expertise in software development services, developed a cloud solution that enhanced the platform's scalability by optimizing performance and ensuring efficient and dependable operation for all users.

Seeking solutions to enhance system performance to accommodate high customer traffic on the company's website and mobile application.

<ul><li>Cloud migration: Transition to AWS cloud services, incorporating automation and mobile-enabled technologies while maintaining features customized to our client's specific business requirements.</li><li>Integrate CI/CD deployment: Assess and enhance the current architecture to scale the system, thereby boosting operational productivity.</li><li>Enhance UX/UI design:&nbsp;Implement a mobile-first design approach, prioritizing the mobile version over the web versions.</li></ul>

Boost operational efficiency by implementing CI/CD deployment, which streamlines both development and deployment processes.

With the work completed by the TMA outsourcing service, the solution brought about significant enhancements:<ul><li>Provide a responsive web application enabling customers to browse various products and services.</li><li>Balance the workload and handle numerous signals from client devices across different regions 24/7.</li></ul>

Modernize legacy systems by migrating them to the cloud service (AWS), enhancing reliability and scalability.

Case Study: DevOps and Cloud Boosts Healthcare Productivity

Modernize legacy systems by migrating them to the cloud service (AWS), enhancing