Our approach to custom artificial intelligence solutions involves a deep analysis of your unique operational data and workflows. We develop bespoke AI models, rigorously selecting and training algorithms (e.g., deep learning, reinforcement learning) on your datasets.
We engineer robust AI integration, leveraging APIs, microservices, and MLOps principles for scalable deployment. Our solutions ensure seamless embedding into your existing cloud/on-premise infrastructure via CI/CD pipelines.
Our AI Readiness Assessment scrutinizes your data maturity, infrastructure, and governance. We identify technical gaps, assess model scalability, and define a roadmap for responsible AI adoption, ensuring robust framework for future-proof implementation.
We develop custom ML models, employing diverse algorithms (CNNs, RNNs, GBMs). Our process includes meticulous feature engineering, hyperparameter tuning, and robust validation via cross-validation, ensuring highly optimized, deployable predictive solutions.
We derive actionable insights from complex datasets using advanced statistical modeling, predictive analytics, and robust visualization. Leveraging big data platforms and cloud warehousing, we transform raw data into strategic intelligence, optimizing decision-making.
We orchestrate Hyper Automation, combining RPA bots with AI/ML, process mining, and BPM. This holistic approach automates complex, end-to-end workflows, enhancing operational agility and efficiency through intelligent, self-optimizing digital processes.
We analyze your needs and tech ecosystem to advise AI investment. We define functional/non-functional requirements for your future solution.
We explore and map available data sources. Our analysis assesses reliability, including corporate assets and public databases, ensuring robust data foundations.
We select tech stack, design architecture, and plan implementation based on evaluation. A PoC confirms feasibility, economic viability, and solution limitations.
We perform data pre-processing (cleansing, annotation, transformation). We train AI models using supervised, unsupervised, and reinforcement learning to achieve desired output.
We integrate trained models into software architecture for AI-based modules. Deployment occurs on-premise or in a secure cloud-based environment for seamless functionality.
We offer ongoing support, maintenance, and updates following DevOps best practices. This includes fine-tuning AI model accuracy by retraining with new datasets.
Enhanced customs intelligence with AI-driven models, increasing risk detection accuracy by 70% across cargo checkpoints.
Streamlined trip planning through an Auto Trip Creation System, reducing dispatch delays by up to 85%
Enabled predictive maintenance that cut unplanned equipment downtime by over 40%, boosting terminal availability and equipment health.
Deployed AI-powered damage detection with 95% inspection time reduction and 98% accuracy, accelerating insurance claim resolution.
Delivered demand forecasting models that improved retail inventory planning efficiency by 30–40%.
With 21+ years of digital expertise and 700+ specialists, Intech builds scalable AI solutions that drive measurable impact across logistics, terminals, finance, and retail.
Years of Excellence
Technology Experts
Global Locations
From enhanced operational efficiency to innovative impact, the results speak for themselves.
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