--- title: "AI case studies: AI implementation in business | cm-opti" url: https://cm-opti.com/business-cases/ description: "AI in business by example: case studies in artificial intelligence, automation and data analysis in insurance, construction, logistics and retail." language: en --- Case studies # AI implementation case studies: examples of process automation, machine learning and systems integration Each case study shows the industry, the problem, the solution and the result. We do not publish client names. - AI process automation - Machine learning and forecasting - Systems integration 01 - Area ## AI process automation Language models, AI assistants and computer vision take over work with documents, correspondence and images. cm-opti project Insurance · NLP · Document automation · Regulated industry ### Claims correspondence classification at an insurance company An NLP model classifies an insurer’s claims correspondence in a GDPR-compliant environment. 25% fewer documents in the main queue, 90% accuracy, 30% smaller backlog. [More](https://cm-opti.com/business-cases/insurance-claims-correspondence-classification) cm-opti project Construction · Project management · RAG · Regulations and compliance ### AI assistant for German construction regulations (HOAI and VOB) An AI assistant answers questions about the German HOAI and VOB regulations and cites the legal basis. Getting to an answer takes 10 minutes instead of 1.5 hours. [More](https://cm-opti.com/business-cases/ai-assistant-hoai-vob-regulations) Team experience Retail · Computer vision · Stock control · Automation ### Computer vision: matching shelf stock to system inventory Computer vision compares shelf photos with system stock and flags discrepancies before they turn into stockouts or wrong orders. [More](https://cm-opti.com/business-cases/computer-vision-shelf-compliance) 02 - Area ## Machine learning and forecasting Machine learning models and data analysis support decisions on inventory, sales and product development. Team experience Distribution and logistics · Machine learning · Demand forecasting · Optimization ### Demand forecasting and distribution optimization ML models forecast demand at the item level, and optimization plans distribution while accounting for logistics costs, lead times and warehouse capacity. [More](https://cm-opti.com/business-cases/demand-forecasting-distribution-optimization) Team experience Data and BI · Reporting · Power Query · KPI ### Reporting automation: from 2.5 days to 2 hours Standardizing and automating management reporting. Report preparation cut from 2.5 days to 2 hours with Power Query and clear KPIs. [More](https://cm-opti.com/business-cases/reporting-automation-bi) Team experience Retail · Recommendation system · Market basket analysis · Collaborative filtering · Cross-selling ### A recommendation system built on hundreds of thousands of receipts Analyzing hundreds of thousands of receipts shows which products are bought together. The patterns feed cross-selling, inventory planning and online product recommendations. [More](https://cm-opti.com/business-cases/recommendation-system-receipt-analysis) Team experience Product development · NLP · Clustering · Voice of customer ### Forum content analysis: a new customer segment and product development Clustering and analysis of posts from special-interest forums. A map of user expectations for a new customer segment and the development of a higher-margin product. [More](https://cm-opti.com/business-cases/forum-analysis-product-development) 03 - Area ## Systems integration Systems exchange data on their own, and staff only approve the result. cm-opti project Logistics and freight forwarding · Systems integration · OCR · Document automation ### Systems integration and automatic document capture in logistics Capturing data from scans and emails, automatic entry into the TMS and data exchange between systems. Manual retyping is kept to a minimum. [More](https://cm-opti.com/business-cases/tms-integration-document-capture) ## Confidentiality and ownership We do not publish client names or project details. We run every project in a secure environment, on the client side or in the cloud, in line with legal requirements and the GDPR. The rights to the code remain with the client, and the client’s data stays in its environment. Not every process needs automation, and some companies need to get organized before they need technology. If you want to know where your company stands, [describe your process](https://cm-opti.com/en_index#kontakt). We will get back to you by the next business day and tell you plainly whether we think it makes sense.