170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

Achieve Digital Resilience with Modernized Cloud Infrastructure

In recent research on the ROI of AI, Google found that nearly half (46%) of respondents from public sector organizations reported that productivity has doubled or more as a result of GenAI. Additionally, in the profit sector for enterprises, a recent McKinsey report highlights that route optimization can reduce fuel consumption by 15% and cut delivery times by 10%. Thus, massive data processing and orchestration have significantly improved in the era of AI advancements.
With our 20+ years of experience in software development, our skillful data engineers will assist you at every stage of system modernization and data governance while ensuring regulatory compliance in your operating geopolitical environment.

Modernize legacy logistics applications to meet the latest industry standards

As your trusted AI-driven technology partner, we fully acknowledge modernization is not a lift-and-shift but rather a strategic imperative driven by high IT investment and complexity, together with security risks associated with legacy platforms. Our skilled engineering teams will carefully break down large, complex systems into smaller, independent services to keep operations running smoothly with little interruption to important services. We design and deploy robust, cloud-native solutions (i.e., microservices, containerization, and serverless computing) to unlock greater ROI.

Establish multi-cloud data governance to minimize risks at big data scale

At big data scales, multi-cloud operations have gained significant adoption, but this approach also expands the governance and security surface area. In the pursuit of renovating the complex challenges of data ownership, lineage, and cross-platform data movement, adaptive multi-cloud data governance frameworks would be defined and deployed accordingly to the business growth pace. Specifically in the public and logistics sectors, this pursuit will be translated into standardizing security practices and implementing centralized data repositories (data lakes or data fabrics). Eventually, big data can be securely aggregated and centralized. Furthermore, our experienced data engineers can enforce Policy-as-Code (PaC) to automatically align data practices with evolving federal and international regulations (e.g., GDPR, FISMA).

Strike a balance between data governance and AI governance

Concurrently with the implementation of AI governance, robust data governance is always put into practice. While data governance focuses on maintaining the quality, security, and management of large data assets, AI governance is set up to keep an eye on the changing algorithms and models. By striking a balance between them both, we can address critical issues such as algorithmic bias, model drift, and a lack of transparency. Thanks to the technology solutions from our AI-Powered Delivery Platform, we can ensure that automated decisions, like those for resource allocations or supply chain predictions, can be checked, tracked, and easily understood by stakeholders and regulators.

Modernize legacy logistics applications to meet the latest industry standards

As your trusted AI-driven technology partner, we fully acknowledge modernization is not a lift-and-shift but rather a strategic imperative driven by high IT investment and complexity, together with security risks associated with legacy platforms. Our skilled engineering teams will carefully break down large, complex systems into smaller, independent services to keep operations running smoothly with little interruption to important services. We design and deploy robust, cloud-native solutions (i.e., microservices, containerization, and serverless computing) to unlock greater ROI.

Establish multi-cloud data governance to minimize risks at big data scale

At big data scales, multi-cloud operations have gained significant adoption, but this approach also expands the governance and security surface area. In the pursuit of renovating the complex challenges of data ownership, lineage, and cross-platform data movement, adaptive multi-cloud data governance frameworks would be defined and deployed accordingly to the business growth pace. Specifically in the public and logistics sectors, this pursuit will be translated into standardizing security practices and implementing centralized data repositories (data lakes or data fabrics). Eventually, big data can be securely aggregated and centralized. Furthermore, our experienced data engineers can enforce Policy-as-Code (PaC) to automatically align data practices with evolving federal and international regulations (e.g., GDPR, FISMA).

Strike a balance between data governance and AI governance

Concurrently with the implementation of AI governance, robust data governance is always put into practice. While data governance focuses on maintaining the quality, security, and management of large data assets, AI governance is set up to keep an eye on the changing algorithms and models. By striking a balance between them both, we can address critical issues such as algorithmic bias, model drift, and a lack of transparency. Thanks to the technology solutions from our AI-Powered Delivery Platform, we can ensure that automated decisions, like those for resource allocations or supply chain predictions, can be checked, tracked, and easily understood by stakeholders and regulators.

Modernize legacy logistics applications to meet the latest industry standards

As your trusted AI-driven technology partner, we fully acknowledge modernization is not a lift-and-shift but rather a strategic imperative driven by high IT investment and complexity, together with security risks associated with legacy platforms. Our skilled engineering teams will carefully break down large, complex systems into smaller, independent services to keep operations running smoothly with little interruption to important services. We design and deploy robust, cloud-native solutions (i.e., microservices, containerization, and serverless computing) to unlock greater ROI.

Establish multi-cloud data governance to minimize risks at big data scale

At big data scales, multi-cloud operations have gained significant adoption, but this approach also expands the governance and security surface area. In the pursuit of renovating the complex challenges of data ownership, lineage, and cross-platform data movement, adaptive multi-cloud data governance frameworks would be defined and deployed accordingly to the business growth pace. Specifically in the public and logistics sectors, this pursuit will be translated into standardizing security practices and implementing centralized data repositories (data lakes or data fabrics). Eventually, big data can be securely aggregated and centralized. Furthermore, our experienced data engineers can enforce Policy-as-Code (PaC) to automatically align data practices with evolving federal and international regulations (e.g., GDPR, FISMA).

Strike a balance between data governance and AI governance

Concurrently with the implementation of AI governance, robust data governance is always put into practice. While data governance focuses on maintaining the quality, security, and management of large data assets, AI governance is set up to keep an eye on the changing algorithms and models. By striking a balance between them both, we can address critical issues such as algorithmic bias, model drift, and a lack of transparency. Thanks to the technology solutions from our AI-Powered Delivery Platform, we can ensure that automated decisions, like those for resource allocations or supply chain predictions, can be checked, tracked, and easily understood by stakeholders and regulators.

Streamline Logistics Operations with AI-enabled Platforms

Under the impact of AI-enabled technologies, organizations and enterprises in the Logistics & Public sectors are strongly shifting from costly reactive maintenance to a proactive, data-driven approach. In a fast-paced, complex environment for manufacturing, logistics, and operations, predictive analytics empowered by agentic AI strengths will bring business competitiveness.
Our 150+ IT professionals are always ready to assist you in revolutionizing your asset management at any phase of the software development life cycle. Enabled by our AI Delivery Platform, we will integrate data from IoT sensors monitoring temperature, pressure, and vibration to forecast component failure with high accuracy. Eventually, we can help your business to optimize maintenance expenses and enhance service quality.

Define and design continuous, seamless data lineage at a granular level

In the era of AI-powered platforms, traditional and simple shortest-distance calculations are not efficient enough to achieve an unprecedented level of efficiency in your transportation and distribution networks. Consequently, the core technology solution is all about intelligent route optimization. This method takes into account real-life issues like current traffic, weather conditions, delivery schedules, and how much each vehicle can carry, using detailed big data. We will assist you in defining and deploying AI-powered route planning, which is fully tailored to meet your specific requirements, regardless of whether you require enterprise products or public service portals. Our experienced engineers will be there to assist you.

Process big data in real time for faster operations and smoother customer experiences

AI-driven features are capable of processing big data in real-time through a more connected and interoperable technological ecosystem. After processing, this big data will be used to train machine learning models that can take over manual tasks like recording license plates and also work with other databases. In the end, this step-by-step method creates a safe and smart base that seeks to improve operations quickly and enhance customer experiences both now and in the future. Our experienced data engineers will assist you at every step of the digital transformation towards lean, cost-saving, and secure operation procedures.

Automate heavy manual processes and enable long-term predictive maintenance

Routine tasks such as order processing, document handling, inventory reconciliation, and shipment tracking can be significantly automated by deploying Robotic Process Automation (RPA) and Machine Learning (ML). These AI-powered automation solutions ultimately bring measurable efficiency gains. When cooperating with our engineering team, together we will integrate IoT sensors with AI platforms aiming for continuous analysis of real-time data on vehicle performance, engine health, and equipment wear. As a result, such advanced models can accurately forecast potential equipment failures before they occur and then automatically generate workflows and optimize maintenance schedules.

Define and design continuous, seamless data lineage at a granular level

In the era of AI-powered platforms, traditional and simple shortest-distance calculations are not efficient enough to achieve an unprecedented level of efficiency in your transportation and distribution networks. Consequently, the core technology solution is all about intelligent route optimization. This method takes into account real-life issues like current traffic, weather conditions, delivery schedules, and how much each vehicle can carry, using detailed big data. We will assist you in defining and deploying AI-powered route planning, which is fully tailored to meet your specific requirements, regardless of whether you require enterprise products or public service portals. Our experienced engineers will be there to assist you.

Process big data in real time for faster operations and smoother customer experiences

AI-driven features are capable of processing big data in real-time through a more connected and interoperable technological ecosystem. After processing, this big data will be used to train machine learning models that can take over manual tasks like recording license plates and also work with other databases. In the end, this step-by-step method creates a safe and smart base that seeks to improve operations quickly and enhance customer experiences both now and in the future. Our experienced data engineers will assist you at every step of the digital transformation towards lean, cost-saving, and secure operation procedures.

Automate heavy manual processes and enable long-term predictive maintenance

Routine tasks such as order processing, document handling, inventory reconciliation, and shipment tracking can be significantly automated by deploying Robotic Process Automation (RPA) and Machine Learning (ML). These AI-powered automation solutions ultimately bring measurable efficiency gains. When cooperating with our engineering team, together we will integrate IoT sensors with AI platforms aiming for continuous analysis of real-time data on vehicle performance, engine health, and equipment wear. As a result, such advanced models can accurately forecast potential equipment failures before they occur and then automatically generate workflows and optimize maintenance schedules.

Define and design continuous, seamless data lineage at a granular level

In the era of AI-powered platforms, traditional and simple shortest-distance calculations are not efficient enough to achieve an unprecedented level of efficiency in your transportation and distribution networks. Consequently, the core technology solution is all about intelligent route optimization. This method takes into account real-life issues like current traffic, weather conditions, delivery schedules, and how much each vehicle can carry, using detailed big data. We will assist you in defining and deploying AI-powered route planning, which is fully tailored to meet your specific requirements, regardless of whether you require enterprise products or public service portals. Our experienced engineers will be there to assist you.

Process big data in real time for faster operations and smoother customer experiences

AI-driven features are capable of processing big data in real-time through a more connected and interoperable technological ecosystem. After processing, this big data will be used to train machine learning models that can take over manual tasks like recording license plates and also work with other databases. In the end, this step-by-step method creates a safe and smart base that seeks to improve operations quickly and enhance customer experiences both now and in the future. Our experienced data engineers will assist you at every step of the digital transformation towards lean, cost-saving, and secure operation procedures.

Automate heavy manual processes and enable long-term predictive maintenance

Routine tasks such as order processing, document handling, inventory reconciliation, and shipment tracking can be significantly automated by deploying Robotic Process Automation (RPA) and Machine Learning (ML). These AI-powered automation solutions ultimately bring measurable efficiency gains. When cooperating with our engineering team, together we will integrate IoT sensors with AI platforms aiming for continuous analysis of real-time data on vehicle performance, engine health, and equipment wear. As a result, such advanced models can accurately forecast potential equipment failures before they occur and then automatically generate workflows and optimize maintenance schedules.

Transforming Logistics & Public Sector through Cutting-Edge IT Solutions

Trustify Technology specializes in custom logistics and transportation management software. We can help you with every step of the process, from the discovery phase and consulting to end-to-end development, product release, and post-production support.
Our engineers will help you build digital solutions for warehouse management, transportation and fleet management, procurement, and more.

Transportation Management System (TMS)

  • Demand planning for transportation needs.
  • AI suggestions for optimal transport modes, vehicles, shipping routes, and item consolidation.
  • Real-time tracking of transportation progress.
  • RFID-enabled monitoring of transportation conditions (temperature, humidity, vibration, etc.).
  • Machine learning (ML) powered forecast of shipping times and estimated arrival.
  • Create, edit, approve, and centralize storage of transportation documents.
  • Automated reverse logistics processes.

Warehouse Management System (WMS)

  • AI-powered recommendations for optimal storage conditions, item put-away and picking routes, and order packing.
  • Barcode/RFID-enabled monitoring of inventory levels.
  • AI-powered planning for warehouse labor, equipment, yard operations, and loading docks.

Fleet Management System

  • Template-based fleet schedule and task list creation for drivers.
  • Real-time tracking of vehicle location, fuel consumption, driver behavior, and compliance with regulations.
  • Mobile app for last-mile carriers to update shipment status easily.
  • Predictive fleet maintenance suggestions powered by IoT and AI technologies.
  • Real-time monitoring and reporting of fleet maintenance activities.

Transportation Management System (TMS)

  • Demand planning for transportation needs.
  • AI suggestions for optimal transport modes, vehicles, shipping routes, and item consolidation.
  • Real-time tracking of transportation progress.
  • RFID-enabled monitoring of transportation conditions (temperature, humidity, vibration, etc.).
  • Machine learning (ML) powered forecast of shipping times and estimated arrival.
  • Create, edit, approve, and centralize storage of transportation documents.
  • Automated reverse logistics processes.

Warehouse Management System (WMS)

  • AI-powered recommendations for optimal storage conditions, item put-away and picking routes, and order packing.
  • Barcode/RFID-enabled monitoring of inventory levels.
  • AI-powered planning for warehouse labor, equipment, yard operations, and loading docks.

Fleet Management System

  • Template-based fleet schedule and task list creation for drivers.
  • Real-time tracking of vehicle location, fuel consumption, driver behavior, and compliance with regulations.
  • Mobile app for last-mile carriers to update shipment status easily.
  • Predictive fleet maintenance suggestions powered by IoT and AI technologies.
  • Real-time monitoring and reporting of fleet maintenance activities.

Transportation Management System (TMS)

  • Demand planning for transportation needs.
  • AI suggestions for optimal transport modes, vehicles, shipping routes, and item consolidation.
  • Real-time tracking of transportation progress.
  • RFID-enabled monitoring of transportation conditions (temperature, humidity, vibration, etc.).
  • Machine learning (ML) powered forecast of shipping times and estimated arrival.
  • Create, edit, approve, and centralize storage of transportation documents.
  • Automated reverse logistics processes.

Warehouse Management System (WMS)

  • AI-powered recommendations for optimal storage conditions, item put-away and picking routes, and order packing.
  • Barcode/RFID-enabled monitoring of inventory levels.
  • AI-powered planning for warehouse labor, equipment, yard operations, and loading docks.

Fleet Management System

  • Template-based fleet schedule and task list creation for drivers.
  • Real-time tracking of vehicle location, fuel consumption, driver behavior, and compliance with regulations.
  • Mobile app for last-mile carriers to update shipment status easily.
  • Predictive fleet maintenance suggestions powered by IoT and AI technologies.
  • Real-time monitoring and reporting of fleet maintenance activities.

FAQ Method & Process

What are the benefits of adopting modern Logistics & Public Sector solutions with us?

The cost of developing a Logistic & Public Sector solution depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

We create tailored Logistic & Public Sectior solutions that focus on meeting important legal requirements for operations (e.g, ITAR, CMMC, GDPR)

To protect your data, we implement the following measures:
  • Encryption protocols and secure access controls.
  • Regular security assessments and compliance with regulations like GDPR, HIPAA, and NDAs and strict confidentiality measures with clients and staff.
  • Secure environments with firewalls, intrusion detection systems, and regular backups.
  • Employee training on best practices for data protection.
  • These comprehensive measures ensure your data’s security and confidentiality throughout the project lifecycle.

Our teams ensure the quality and accuracy of our AI-driven digital care solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

The cost of developing a Logistic & Public Sector solution depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

We create tailored Logistic & Public Sectior solutions that focus on meeting important legal requirements for operations (e.g, ITAR, CMMC, GDPR)

To protect your data, we implement the following measures:
  • Encryption protocols and secure access controls.
  • Regular security assessments and compliance with regulations like GDPR, HIPAA, and NDAs and strict confidentiality measures with clients and staff.
  • Secure environments with firewalls, intrusion detection systems, and regular backups.
  • Employee training on best practices for data protection.
  • These comprehensive measures ensure your data’s security and confidentiality throughout the project lifecycle.

Our teams ensure the quality and accuracy of our AI-driven digital care solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

The cost of developing a Logistic & Public Sector solution depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

We create tailored Logistic & Public Sectior solutions that focus on meeting important legal requirements for operations (e.g, ITAR, CMMC, GDPR)

To protect your data, we implement the following measures:
  • Encryption protocols and secure access controls.
  • Regular security assessments and compliance with regulations like GDPR, HIPAA, and NDAs and strict confidentiality measures with clients and staff.
  • Secure environments with firewalls, intrusion detection systems, and regular backups.
  • Employee training on best practices for data protection.
  • These comprehensive measures ensure your data’s security and confidentiality throughout the project lifecycle.

Our teams ensure the quality and accuracy of our AI-driven digital care solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.