https://mecanik.dev/en/case-studies/Recent content in Case Studies on [ MECANIK DEV ]Hugo -- gohugo.ioenCopyright © 2020-{year} by [ MECANIK DEV ]. All Rights Reserved.Fri, 14 Feb 2025 12:00:00 +0000https://mecanik.dev/en/case-studies/enterprise-ai-document-processing/Sat, 01 Feb 2025 12:00:00 +0000https://mecanik.dev/en/case-studies/enterprise-ai-document-processing/The ChallengeA mid-size financial services company was spending approximately 120 hours per week on manual document processing. Their compliance team reviewed incoming loan applications, supporting documents, and regulatory filings. That meant classifying each document by type, extracting key data fields, and flagging anomalies. The existing workflow involved downloading documents from email and a client portal, manually reading each one, typing extracted data into their internal system, and performing basic consistency checks.https://mecanik.dev/en/case-studies/ecommerce-security-assessment/Wed, 15 Jan 2025 12:00:00 +0000https://mecanik.dev/en/case-studies/ecommerce-security-assessment/The ChallengeA European online retailer selling specialty electronics reached out after noticing suspicious activity in their server logs. They were running a heavily customized WooCommerce store with around 12,000 registered customers, processing roughly 800 orders per month through Stripe and PayPal. The shop had been built over 3 years by different freelancers, with several custom plugins for inventory sync, customer loyalty points, and a B2B wholesale portal. Nobody had ever done a proper security review.https://mecanik.dev/en/case-studies/iot-monitoring-desktop-app/Sun, 01 Dec 2024 12:00:00 +0000https://mecanik.dev/en/case-studies/iot-monitoring-desktop-app/The ChallengeAn industrial IoT company needed a desktop application for their field technicians and operations managers to monitor sensor networks deployed across manufacturing facilities. The existing solution was a web-based dashboard that suffered from: High latency: 5-10 second refresh intervals made real-time monitoring impractical Limited offline capability: Field technicians often worked in areas with unreliable connectivity Resource constraints: Running a browser alongside their other tools consumed excessive memory on the rugged laptops used in the field No local data caching: Historical trend analysis required constant server connectivity The application needed to run on both Windows 10/11 (office staff) and Ubuntu Linux (field technician laptops), handle real-time data streams from up to 500 sensors simultaneously, and work reliably with intermittent connectivity.