Lost Found LollyMap
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LollyMap Lost & Found: The Unified Platform for Reuniting Lost Animals with Their Owners

LollyMap Lost & Found: One Unified Platform for Lost and Found Animals Every day, thousands of animals are reported lost or found, often scattered across social networks, local websites, posters, and fragmented platforms. This fragmentation dramatically reduces the chances of quickly reuniting animals with their owners. LollyMap Lost & Found, developed by Lolli Group, was

Lolli Group software management system for corporate sustainability reporting
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FileMaker Hosting Migration: €1,440 Annual Savings with Hetzner Cloud

Migration completed. Over the last few days, Lolli Group successfully completed the migration of a production FileMaker Server environment and a set of supporting WordPress and PHP websites from previous providers (AWS and SiteGround) to Hetzner Cloud. The objective was clear and measurable: reduce recurring infrastructure costs, increase operational control, and reinvest budget into ERP

Medical ERP Software with AI – LollyMed
AI, ERP, News, Software Azienda, Tecnologia

LollyMed – The New AI-Ready ERP for Healthcare | Preview

Medical ERP Software with AI for Healthcare – LollyMed Preview LollyMed is a new medical ERP software powered by AI designed to manage clinics, hospitals, laboratories, nursing homes and veterinary centers with complete digital control. Clinics and private medical centers Hospitals and nursing homes Medical laboratories and diagnostic centers Veterinary clinics and animal care facilities

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AI, ERP, News

How filemaker json pivot Reports Make FileMaker Faster for Veterinary and Farm Management Solutions

filemaker-json-pivot solutions are among the fastest and most efficient ways to generate dynamic reports for veterinary clinics and organic farm management systems. This method allows us to transform complex datasets into clear, structured, and actionable insights. Our approach to filemaker-json-pivot processing ensures high performance and optimized workflows. By building a single JSON structure that represents

AI, ERP, News

FileMaker Healthcare ERP Solutions (2026 Guide)

Advanced FileMaker Healthcare ERP Solutions (2026) Healthcare organizations rely on fast, reliable, and secure ERP systems. Our FileMaker Healthcare ERP solutions improve data flow, reduce complexity, and support clinical teams with modern AI-driven tools. Modern healthcare providers need powerful, flexible, and secure platforms to manage clinical workflows, laboratory operations, medical robotics, patient safety data, and

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Telegram Escort Scam: How It Works, Why It Spreads, and How to Protect Yourself

Online scams on Telegram are growing rapidly, and one of the most widespread is the so-called Telegram escort scam. This type of fraud exploits anonymity, emotional manipulation, and unsecure payment methods to steal money from unsuspecting users. Understanding how this scam works is essential not only for individual users, but also for companies and organizations

Stressed office worker surrounded by paperwork next to a calm humanoid robot working efficiently on a computer
AI, ERP, News

FileMaker 22 Meets AI: Automating PDF Data Extraction

FileMaker 22 AI PDF Data Extraction: Automating Business Workflows By F.L – Lolli Group FileMaker 22 AI PDF Data Extraction is the focus of this real-world case study, where I combined FileMaker Server and the OpenAI API to recover thousands of invoices and payment orders from PDFs and re-import them into a client’s ERP system.

LollyMap FileMaker 22 and OpenAI interface
AI, FileMaker Business Alliance, News

LollyMap – FileMaker 22, OpenAI and Web: the Italian Startup Combining Databases and Artificial Intelligence

LollyMap – FileMaker 22, OpenAI and Web: the Italian Startup Combining Databases and Artificial Intelligence LollyMap is a brand-new Italian startup that merges Claris FileMaker 22, OpenAI APIs, and PHP web technologies. Its mission: to build the first interactive multilingual map collecting events, monuments, and churches across Europe, transforming them into automatically generated audio guides

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