Transform Your Business Processes with Artificial Intelligence!
Artificial intelligence and automation are the key for modern businesses to gain a competitive advantage. As Dem Teknoloji, we automate repetitive tasks, improve customer experience and increase operational efficiency with RPA (Robotic Process Automation), chatbot, machine learning and AI integration. We develop custom AI solutions with leading technologies such as UiPath, Automation Anywhere, TensorFlow, Azure AI and make your business processes smart. Leave manual tasks to robots, let your team focus on strategic tasks.
RPA (Robotic Process Automation)
We automate repetitive manual tasks with software robots.
- UiPath, Automation Anywhere, Blue Prism implementation.
- Data entry, report generation, e-mail automation.
- RPA in HR, finance, logistics processes.
- Attended and unattended bot development.
Chatbot and Virtual Assistant Development
We provide 24/7 customer service with AI-powered chatbots.
- WhatsApp, web, Facebook Messenger chatbot integration.
- Language understanding with Natural Language Processing (NLP).
- FAQ automation and smart response systems.
- Using Dialogflow, Microsoft Bot Framework, Rasa.
Machine Learning and Predictive Analytics
We develop smart models that learn from your data.
- Predictive analytics and prediction models.
- Customer churn prediction and segmentation.
- Sales forecasting and demand planning.
- Anomaly detection and fraud detection.
Frequently Asked Questions
RPA is a technology for automating repetitive and rule-based business processes with software robots. Robots perform manual tasks such as data entry, report generation, e-mail sending. It works 24/7 without human intervention. Reduces error rate and increases efficiency. Works integrated with existing systems, does not require infrastructure changes. Platforms like UiPath, Automation Anywhere, Blue Prism are used. It can be applied in many departments such as HR, finance, customer service. ROI is usually achieved within 6-12 months.
Chatbot is an AI-powered chat robot. It understands customer questions and gives automatic answers. Performs language processing with Natural Language Processing (NLP). Provides 24/7 customer service. Reduces call center load. Automatically answers frequently asked questions (FAQ). Can perform operations such as e-commerce order tracking, appointment making. Has WhatsApp, website, Facebook Messenger integration. Continually learns and improves with machine learning. Increases customer satisfaction, reduces costs.
Customer service: Chatbot and sentiment analysis. Sales and marketing: Predictive analysis, lead scoring. Human resources: CV screening, employee turnover prediction. Finance: Fraud detection, risk analysis. Production: Quality control, predictive maintenance. Logistics: Route optimization, demand forecasting. Health: Disease diagnosis, image analysis. E-commerce: Recommendation systems, price optimization. Security: Face recognition, anomaly detection. Can be applied in every sector, we develop solutions according to specific needs.
Machine Learning allows computers to learn from data. Discovers patterns and rules without explicit programming. Supervised learning: Training with labeled data (classification, regression). Unsupervised learning: Learning with unlabeled data (clustering, anomaly detection). Reinforcement learning: Learning by trial and error. Deep learning: Complex pattern recognition with artificial neural networks. Prediction models, classification, recommendation systems are developed. Implementation is done with Python, TensorFlow, PyTorch.
AI features are added to existing systems with API integration. Cloud AI services (AWS SageMaker, Azure AI, Google AI) are used. On-premise ML models are deployed. Data pipelines are established (ETL processes). Model training and retraining infrastructure is created. Model performance is measured with A/B testing. Continuous improvement is ensured with MLOps practices. Integration is made to existing workflows. Compatibility with legacy systems is ensured. Risk-free implementation with phased transition planning.
OCR (Optical Character Recognition) extracts text from images and PDFs. Automatically processes documents such as invoices, receipts, contracts. Structured data is obtained with Intelligent Document Processing (IDP). Eliminates manual data entry processes. Commonly used in accounting, logistics, legal departments. Tools like ABBYY, Tesseract, AWS Textract are used. Accuracy rate is around 95%+. Handwriting recognition is also supported. Provides end-to-end automation together with RPA.
ROI (Return on Investment) usually occurs between 6-18 months. RPA projects provide return in 6-12 months. Chatbot implementation shows benefit in 3-6 months. Complex ML projects may take 12-24 months. Benefits: Human resource savings (30-70% FTE reduction). Reduction in error rate (90%+ accuracy). Increase in process speed (5-10x faster). Increase in customer satisfaction. Tracking is done with measurable KPIs. Early gains are achieved with quick wins.
Predictive analytics makes future predictions from historical data. Sales forecasting, demand planning. Customer churn prediction. Predictive maintenance. Credit risk scoring. Inventory optimization. Pricing strategy. Campaign effectiveness prediction. Regression, classification models are used. Time-series forecasting techniques are applied. Integrates with Business Intelligence tools. Supports strategic decision-making processes.
We apply AI ethics principles: Transparency, Fairness, Privacy, Accountability. We perform bias detection and mitigation. We apply data anonymization and masking. We ensure KVKK and GDPR compliance. We use Explainable AI (XAI) techniques. We establish model audit and governance processes. We do not collect unnecessary data with the data minimization principle. We apply encryption and access control. We follow responsible AI frameworks.
Attended RPA: Works together with the user. Starts with user trigger on desktop. Helps customer service representative. Ideal for front-office jobs. Provides human-robot collaboration. Unattended RPA: Works completely autonomously. Starts with scheduling or triggers. Suitable for back-office processes. Runs on server, does not require user intervention. Ideal for night batch jobs. Hybrid model: Combines both approaches. We choose the most suitable model according to need.
Step 1: Use case determination and feasibility analysis. Step 2: Data readiness assessment. Step 3: PoC (Proof of Concept) development. Step 4: Pilot project implementation. Step 5: Model training and validation. Step 6: Production deployment. Step 7: Monitoring and continuous improvement. We gain momentum by starting with quick wins. We develop iteratively with Agile methodology. We provide change management and user training. We ensure sustainability by establishing CoE (Center of Excellence).
RPA: UiPath, Automation Anywhere, Blue Prism, Power Automate. Chatbot: Dialogflow, Microsoft Bot Framework, Rasa. ML/AI: Python, TensorFlow, PyTorch, scikit-learn. Cloud AI: AWS SageMaker, Azure ML, Google AI Platform. NLP: spaCy, NLTK, Hugging Face Transformers. Computer Vision: OpenCV, YOLO, TensorFlow Object Detection. OCR: Tesseract, ABBYY, AWS Textract. MLOps: MLflow, Kubeflow, Azure DevOps. BI: Power BI, Tableau (AI features). We offer open-source and enterprise solutions.
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