AI-Projects-Arif-Emre-SembolAI-and-Products.pptx

AIAI-Projects-Arif-Emre-SembolAI-and-Products

1. Artificial Intelligence Projects Arif Emre ŞIVGIN

2. Text-Based AI Assistant for Web and Mobile Applications Problem: Users cannot access information quickly. Training new users creates extra costs. Incorrect, incomplete, or faulty operations increase support costs. Project 1 : Solution: NLU-based text assistant. Instant accurate answers in web and mobile applications. Real-time support through ERP/CRM integration. Benefits: 24/7 customer satisfaction . Lower support costs . Multilingual communication .

3. Avatar-Based AI Assistant for Web and Mobile Applications Problem: The user experience remains limited with text-based support. Lack of visual interaction lowers customer satisfaction. User guidance in complex tasks is insufficient. Projec t 2 : Solution: Avatar-based AI assistant with video and voice. Face-to-face–like experience in web and mobile applications. Our self-developed avatar model instead of expensive avatar services. Benefits: More natural and friendly user experience . Faster onboarding for new users . Stronger customer loyalty and brand image .

4. Computer Vision for Planogram and Shelf Compliance Problem: Manually checking whether store shelves comply with the planogram takes a long time. Error-prone and subjective evaluations lead to sales losses. Project 3 : Solution: The AI model compares shelf photos with the planogram. An innovative approach combining computer vision and LLM capabilities delivers excellent results. It detects missing products, misplacements, and out-of-stock situations within seconds. Benefits: Speed and standardization in inspections . Minimization of human error . Preventing sales losses with real-time data .

5. Route and Task Optimization for Field Teams Problem: Visit plans for planogram control are made inefficiently. Labor and fuel costs are increasing. Project 4 : Solution: With AI-powered route optimization, the maximum number of locations are covered at the lowest cost. Tasks and routes are automatically planned. Benefits: Savings in labor, time, and fuel . More efficient field operations . Speed and accuracy in planning .

6. Template-Free Data Extraction from PDF Documents (IDP) Problem: E-archive invoices and manual documents are manually entered into ERP or CRM-like systems. Different document templates reduce OCR success in data extraction. Manual document entry causes time loss and high error risk. Project 5 : Solution: An innovative system based on Computer Vision + OCR + AI (LLM). Data is extracted from PDF documents without requiring predefined templates. Benefits: 85–90% automation in manual data entry . Fewer errors, faster processes . Significant savings in operational costs .

7. Sensör Verileriyle Kestirimci Bakım Problem: Unexpected machine failures cause unplanned downtime and high costs. Project 6 : Solution: Sound, vibration, and temperature data from sensors are analyzed with AI to predict possible failures weeks in advance. Benefits: Prevent unplanned downtime . Shift from reactive to proactive maintenance . Increased production continuity and efficiency .

8. Semantic Search Engine for Corporate Memory Problem: In industrial organizations, accessing accumulated reports, procedures, presentations, and emails over the years is difficult. Traditional searches are keyword-based, making it time-consuming to reach accurate information. Project 7 : Solution: All documents are semantically indexed. Users can ask questions in natural language and access the right information within seconds. Questions can be asked and answered through text, or via an avatar with voice and video. Benefits: Fast and reliable access to corporate memory . Significant increase in employee productivity . Time savings in auditing, compliance, and reporting processes . Turning knowledge management into a strategic advantage in large organizations .

9. AI-Powered Meeting Assistant Problem: Decisions and tasks from meetings are forgotten. Manual note-taking leads to information loss. Assigned tasks are not effectively monitored. Project 8 : Solution: AI transcribes meeting audio recordings and distinguishes speakers individually. It detects who assigned tasks to whom. Tasks are automatically added to the assignee’s calendar or task list. At the end of the meeting, a summary and action list are sent to all participants. Benefits: Eliminating information loss . Ensuring tasks are assigned to the right person . Automatic follow-up with calendar integration . Significantly boosting meeting productivity .

10. Automated Stock Counting with Computer Vision Problem: Manual counting of products in warehouses and production areas is slow. These repetitive counts are labor-intensive and error-prone. Project 9 : Solution: A computer vision–based AI model counts product stacks (boxes, plates, etc.) from photos or camera footage accurately within seconds. Benefits: Reduces stock counting time from minutes to seconds . Eliminates human error . Provides real-time and reliable data for inventory management

11. Industrial IoT for Plastic Injection Mold Tracking Problem: Molds are among the most valuable assets in production . H owever , tracking their location, cycle count, efficiency, and health status manually is difficult. There are risks such as loss, inefficient use, or not knowing the mold’s actual remaining lifespan. Project 10 : Solution: Data was collected via a custom electronic board integrated into the molds (accelerometer, temperature, gyroscope, optical sensors, etc.). These data were analyzed using machine learning models to calculate mold usage time, storage waiting time, production ramp-up duration, and Remaining Useful Life (RUL). Automatic alerts were generated in case of anomalies. Benefits: Increases mold efficiency (OEE) . Extends mold lifespan with predictive maintenance . Provides transparency and speed in production planning .

12. Semantic Search for Document Management Systems Problem: In systems like QDMS, accessing the right information among thousands of documents (procedures, instructions, reports) takes time, and keyword-based searches are insufficient. Project 11 : Solution: An AI-powered semantic search engine indexes documents by understanding their content. Users can ask questions in natural language and reach the desired information within seconds. Benefits: Speed and accuracy in auditing, quality, and compliance processes . Easier access to corporate knowledge . Significant increase in employee productivity .

13. Corporate Statement Consistency and Conflict Prevention System Problem: Corporate press releases, social media posts, or investor presentations may conflict with past statements, leading to reputational damage and legal risks. Project 12 : Solution: AI collects all past corporate statements into a knowledge base.New statements are semantically analyzed to automatically detect and report inconsistencies, conflicts, and tone differences. Benefits: Protecting brand reputation . Ensuring consistency in communication . Proactively managing legal and compliance risks .

14. Smart Portfolio Assistant Problem: Sales representatives cannot instantly match customer requests with the correct portfolio during conversations. Project 13 : Solution: AI analyzes the real-time conversation between the customer and the sales representative. It instantly filters the portfolio according to the customer’s criteria and displays the results on the representative’s screen. Benefits: Accelerates the sales process . Increases customer satisfaction . Achieves higher conversion rates .

15. Call Quality and Performance Evaluation System Problem: Customer calls are evaluated subjectively. Sales performance and service quality cannot be measured accurately. Project 14 : Solution: AI analyzes phone conversations. Evaluates speaking style and professionalism. Analyzes compliance with the sales script. Detects misleading/incorrect information. Benefits: Objective measurement of sales performance . Clear identification of training needs . Maintaining service quality at the highest level .

16. AI-Powered Call Center Agent Problem: High workload, repetitive questions, and long waiting times in call centers reduce customer satisfaction. Project 15 : Solution: Answers phone calls in natural language. Provides real-time information with ERP/CRM integration. Transfers the call to a live agent in complex situations. Supports service in over 50 languages. Benefits: 24/7 uninterrupted customer support . Shorter waiting times . Significant savings in operational costs . Standardized and error-free service quality .

17. AI-Powered Production Management System Project 16 :