Discover how businesses across Retail, Healthcare, Real Estate, Travel, Maritime, and more are transforming with AI. From automating support to generating creative content, explore how AI is solving real-world challenges and unlocking measurable results.
- Learn from real industry scenarios
- See how AI improves workflows, sales, and customer experience
- Find practical inspiration to bring AI into your business
A telecom B2B support division wanted to better understand customer sentiment, call quality, and churn risk—but lacked real-time insights from voice conversations.
We implemented an AI voice analytics platform integrated with their VoIP recordings and support CRM.
- Calls were transcribed and analyzed for sentiment, tone, and intent
- AI flagged high-risk conversations and escalated potential churn signals
- Reports highlighted agent performance and customer feedback trends
- Gave managers visibility into live support quality
- Enabled early intervention for at-risk accounts
- Improved agent coaching with real examples
0
%
→ AI identified tone changes, frustration cues, and negative keywords
0
%
→ AI handled transcription and classification instantly
→ Managers had near-instant access to transcripts and issue tags
A mobile carrier with regional data centers needed a faster way to detect and respond to network outages, latency spikes, and signal degradation—especially during peak hours.
We implemented an AI anomaly detection engine connected to the client’s network monitoring tools and performance dashboards.
- AI monitored packet loss, latency, and throughput in real-time
- Detected usage spikes or irregular patterns across towers and fiber lines
- Automatically triggered alerts and failover actions
- Problems were detected before customers reported them
- Faster reaction to outages minimized downtime
- Reduced manual oversight for network teams
0
%
→ AI caught anomalies faster than manual monitoring
0
%
→ Early detection enabled proactive remediation
→ Real-time push alerts enabled quicker dispatch and fix
A telecom provider operating a national support center struggled with long wait times, high call volumes, and repetitive Tier 1 requests like billing, plan upgrades, and device setup questions.
We deployed AI-powered chatbots and voice agents across the company’s website, call center IVR, and mobile app—integrated with their CRM and billing systems.
- Chatbots handled FAQs, plan comparisons, and self-service troubleshooting
- Voice agents answered billing questions, verified identity, and routed complex issues
- AI synced all conversations to the customer profile and support history
- Reduced strain on call center teams by handling basic inquiries instantly
- Delivered consistent support across channels 24/7
- Improved routing and first contact resolution
0
%
→ AI resolved billing, plan, and account queries without agent intervention
0
%
→ Customers received help faster with self-service options
→ Voice AI filtered non-critical requests and escalated only what mattered
A shipping company managing 500+ crew members struggled with complex crew rotation planning and ensuring compliance with IMO and ISM regulations across voyages.
We developed an AI-powered crew management system that automatically scheduled shifts, verified qualifications, and tracked compliance checklists.
- AI generated optimal duty rosters while avoiding fatigue violations
- Flagged missing certifications or upcoming expirations before port audits
- Created digital compliance reports tied to crew logs and vessel data
- Simplified rotation planning with fewer manual errors
- Prevented last-minute regulatory issues
- Ensured crew rest and qualification standards were met globally
0
%
→ AI built optimized, regulation-compliant duty plans
0
%
→ Digital reports replaced manual logs and spreadsheets
→ Checklists, reminders, and logs handled automatically
A bulk cargo operator with transatlantic routes needed to reduce rising fuel costs and optimize ETA accuracy across seasonal voyages. Manual routing decisions weren’t adapting fast enough.
We integrated an AI-powered route planning engine into the company’s navigation software and backend fuel tracking systems.
- AI analyzed real-time weather, wave height, and port congestion
- Suggested optimal voyage routes based on vessel specs and cargo weight
- Provided fuel burn forecasts and arrival windows with high accuracy
- Minimized detours and delays with intelligent route adaptation
- Reduced fuel usage while maintaining reliable ETAs
- Helped plan departures around port conditions and fuel pricing
0
%
→ Smart routing and speed control cut unnecessary burn
0
%
→ Ports and partners were better prepared on arrival
→ AI adjusted routes dynamically around storms and sea states
A global shipping company operating over 60 vessels faced unexpected breakdowns and costly delays due to late-stage mechanical failures. Traditional maintenance scheduling was reactive and inefficient.
A AI-based monitoring system integrated with the vessel’s onboard sensors and central fleet dashboard.
- AI analyzed engine performance, temperature, vibration, and oil quality in real-time
- Detected early signs of wear, corrosion, or component stress
- Sent predictive maintenance alerts before failures occurred
- Prevented breakdowns before they disrupted routes
- Helped plan maintenance during downtime instead of emergencies
- Reduced dependence on manual checklists and reactive repairs
0
%
→ AI flagged early signs, speeding up radiologist interpretation
0
%
→ Advanced notice allowed for scheduled port repairs
→ Reduced manual data collection and routine diagnostics
A busy imaging center was struggling to keep up with the growing volume of CT and X-ray scans. Radiologists faced long hours and the risk of missing early-stage abnormalities due to fatigue.
We integrated a third-party AI radiology engine with the center’s imaging platform (PACS) to assist with scan analysis and anomaly detection.
- AI reviewed X-rays and CT scans for potential abnormalities (e.g., tumors, fractures, lung issues)
- Highlighted regions of concern before the radiologist’s manual review
- Logged historical patterns to flag subtle progressions in returning patients
- Radiologists got a second set of AI-powered “eyes” to reduce oversight
- Scan review time decreased with faster pre-analysis
- Helped standardize diagnostic quality across radiologists
0
%
→ AI flagged early signs, speeding up radiologist interpretation
0
%
→ AI supported early-stage identification of subtle issues
→ AI became a reliable assistant in high-pressure environments
A diagnostic lab and general clinic needed a better way to follow up on test results, appointment confirmations, and prescription refills. Staff was losing time calling patients individually.
We implemented an AI voice assistant integrated with the clinic’s EHR and telephony system to automate routine communication.
- Voice AI called patients to deliver test result summaries (for non-critical cases)
- Confirmed appointments and offered rescheduling options when needed
- Reminded patients about prescription pickups, follow-ups, and lab visits
- Staff stopped wasting time on repetitive outbound calls
- Patients appreciated faster communication
- Sensitive messages were flagged for doctor review before sending
0
%
→ Nurses and admins were free to focus on care and in-clinic work
0
%
→ Automated reminders boosted check-up and lab return rates
→ Voice agent handled routine outreach with natural, multilingual speech
A network of private clinics was overwhelmed by appointment requests, phone inquiries, and patient no-shows. Front desk teams were stretched thin, and patient experience suffered due to long response times.
We implemented an AI chatbot across the clinic’s website and WhatsApp, integrated with their existing booking system and calendar.
- AI scheduled appointments, managed cancellations, and sent confirmations automatically
- Pre-screened patients with basic questions (e.g., symptoms, insurance, allergies) before visits
- Synced with doctor availability and flagged urgent cases for manual review
- Reduced the workload on front desk staff
- Ensured every lead was followed up instantly
- Improved scheduling accuracy and reduced no-shows
0
%
→ Chatbot scheduled and confirmed visits automatically in under 3 minutes
0
%
→ Automated reminders and confirmations improved attendance consistency
→ Fewer calls and follow-ups were required from the front desk team
A top-tier real estate agency needed to monitor competitor listings and local pricing trends across multiple portals but relied heavily on manual research. This slowed reaction time and made listings less competitive.
We deployed an AI web scraper integrated into the agency’s internal CRM and property management system.
- AI tracked 15+ competitor sites daily, extracting listing details, price changes, and keywords
- AI highlighted pricing gaps and suggested rate adjustments for underperforming listings
- Integrated with CMS to auto-update listing descriptions and highlight competitive advantages
- Real-time data replaced outdated manual reports
- Listings stayed optimized and relevant
- Agents had visibility on how competitors positioned similar properties
0
%
→ Smart listing adjustments kept properties visible and competitive
0
%
→ Optimized content boosted engagement on portals and ads
→ Agents and admins focused on sales, not manual monitoring
A nationwide real estate network needed to digitize and simplify the entire agent workflow—from lead handling to deal closure. Agents were using multiple tools and losing efficiency on repetitive admin tasks.
We built a custom AI agent dashboard/web app connected to their core systems (CRM, website, document platform, and signage software).
- AI-qualified incoming leads, matched listings, and scheduled follow-ups
- Generated listing descriptions, banners, and signboard designs automatically
- Auto-filled offer documents and digital contracts for signature
- Agents saved time by using one unified smart tool
- AI handled repetitive admin tasks end-to-end
- Faster response time meant more closed deals and happier clients
0
%
Offers and contracts pre-filled and sent in minutes
0
%
→ Faster workflows and client responses improved close rates
→ Easy UX and real-time AI tools encouraged full team usage
A large agency managing 1,000+ agents struggled to process inbound leads efficiently. Many leads were delayed, misassigned, or lost due to manual routing and lack of qualification filters.
We implemented an AI-powered lead intake and agent assignment system, integrated with the agency’s CRM, website, and email marketing tool.
- AI scored leads in real time based on inquiry type, urgency, and location
- Automatically routed leads to the most relevant agent based on availability and property focus
- Triggered follow-up workflows and CRM tasks within seconds
- High-quality leads reached the right agents faster
- Reduced errors and delays in lead handling
- Improved agent-client match quality
0
%
→ From hours to minutes with automated assignment and alerts
0
%
→ Better agent matches and faster engagement led to higher response rates
→ AI reactivated cold leads without human input
An electronics retailer selling accessories (e.g., printer ink, batteries, chargers) struggled with timing email promotions and keeping fast-moving items in stock. Manual tracking led to lost sales.
We implemented a customer behavior prediction model and smart inventory trigger system across the retailer’s CRM and e-commerce platform.
- AI predicted repurchase windows based on past order frequency
- Triggered email reminders and product recommendations at the optimal time
- Connected with inventory system to auto-reorder or alert staff
- Prevented stockouts by forecasting demand spikes
- Timed re-engagement messaging before customers looked elsewhere
- Increased repeat purchases without paid ads
0
%
→ AI retargeted customers before they left to buy elsewhere
0
%
→ Smart triggers initiated automatic restocking
→ Historical and real-time data powered smarter inventory planning
A mid-sized fashion retailer was spending heavily on seasonal photo shoots to update e-commerce listings, lookbooks, and campaign visuals—limiting launch speed and visual diversity.
We implemented an AI visual generation pipeline to create high-quality fashion product images—styled on virtual models and tailored to the brand’s identity.
- AI-generated model photography from base product images
- Outfits auto-styled into seasonal lookbooks with custom backgrounds
- Brand guidelines fed into the AI for consistent lighting, poses, and tone
- Product teams no longer relied on slow studio logistics
- Consistent branding across all visuals
- Allowed content creation at scale for social, e-shop, and email
0
%
→ No need for physical models, photographers, or location rentals
0
%
→ Teams uploaded AI visuals within 48 hours of product arrival
→ AI delivered multiple variations per product instantly
A luxury hotel group wanted to reduce commission fees paid to OTAs (e.g., Booking.com) and boost direct bookings—but their website lacked interactive support, causing drop-offs.
We implemented a conversational AI booking assistant directly on the hotel’s website, synced with their reservation system and CMS.
- AI helped guests check availability, compare room types, and find offers in real time
- Handled FAQs around check-in, amenities, parking, and COVID policies
- Suggested upgrades, add-ons, and upsells during booking process
- Visitors stayed longer and engaged directly with the booking process
- Guests had their questions answered instantly, improving conversion
- Upsells were embedded seamlessly into the booking journey
0
%
→ Visitors converted instead of leaving to search on OTAs
0
%
→ AI assistant kept users engaged and guided them through booking
→ Upsells (e.g., breakfast, view upgrades) were offered before checkout
A 4-star hotel group couldn’t keep up with monitoring reviews on platforms like TripAdvisor, Google, and Booking.com. Manual review handling was slow, and negative feedback often went unnoticed for days.
We integrated an AI-powered sentiment analysis and review management system directly into their reputation dashboard.
- AI scanned 10+ review platforms daily for new feedback
- Guests used voice or chat to request items (e.g., towels, housekeeping, room service)
- AI drafted smart response suggestions and flagged negative posts for human follow-up
- No review went unmonitored or unanswered
- Negative reviews were addressed proactively
- Hotel management gained clear insights into guest sentiment trends
0
%
→ AI scraped and categorized reviews every few hours
0
%
→ Auto-suggestions allowed staff to respond within minutes, not days
→ Faster, personalized responses improved guest perception and loyalty
A boutique hotel chain wanted to reduce front desk workload and improve in-stay upsells. Guests often waited for staff to answer simple requests, while many high-margin add-ons (e.g., spa, late checkout) went unoffered.
We deployed a multilingual AI concierge across in-room tablets and mobile devices via the hotel app, fully integrated with the hotel’s PMS and guest services system.
- AI answered common questions (e.g., Wi-Fi, check-out time, amenities) in real time
- Guests used voice or chat to request items (e.g., towels, housekeeping, room service)
- AI suggested upgrades like late checkout, spa bookings, and room service promos
- Guests received fast responses without calling reception
- Front desk focused on priority tasks instead of repeat questions
- Upsell opportunities were automatically presented at the right moment
0
%
→ Most requests (e.g., towels, room service, info) were processed instantly via AI
0
%
→ AI suggested upgrades like spa, minibar, and late checkout during optimal moments
→ Guests interacted in their native language without translation barriers
A multi-branch travel agency offering international tours couldn’t offer real-time support during off-hours or when clients were traveling abroad. Missed questions = missed bookings.
We deployed a multilingual AI chatbot on their website and WhatsApp business account, connected to their CRM and booking tools.
- AI answered FAQs about visas, flight changes, insurance, and cancellations in real-time
- Chatbot escalated complex issues to agents during working hours
- Integrated with CRM to pull booking details for personalized responses
- Customers got instant support anytime, anywhere
- Reduced pressure on live agents
- Increased trust in service quality + Support expanded to 5 languages seamlessly
0
%
→ Most questions were resolved instantly through AI across channels
0
%
→ Faster, consistent answers led to better feedback and reviews
→ Chatbot replaced email backlog with instant, accurate responses
A language center preparing students for Greek national entrance exams needed a way to offer support outside classroom hours without expanding staff.
We developed and deployed AI-powered virtual tutors that engaged students via voice or chat—offering personalized revision, quizzes, and feedback any time of day.
- AI tutors simulated real conversations to improve oral fluency.
- Automated delivery via LMS platforms, with smart notifications and attendance tracking.
- Integrated with the center’s learning system for progress syncing.
- Students received personalized help 24/7 without adding instructors.
- AI tutors adapted to each student’s weak points.
- Interactive learning format increased study consistency.
0
%
→ AI instantly handled inquiries and follow-ups during peak application periods
0
%
→ Faster, more personalized guidance helped applicants commit
→ Reduced manual email handling and response lag for staff
A language center preparing students for Greek national entrance exams needed a way to offer support outside classroom hours without expanding staff.
We developed and deployed AI-powered virtual tutors that engaged students via voice or chat—offering personalized revision, quizzes, and feedback any time of day.
- AI tutors simulated real conversations to improve oral fluency.
- Automated delivery via LMS platforms, with smart notifications and attendance tracking.
- Integrated with the center’s learning system for progress syncing.
- Students received personalized help 24/7 without adding instructors.
- AI tutors adapted to each student’s weak points.
- Interactive learning format increased study consistency.
0
%
→ Instructors no longer had to manually build slides, quizzes, or lesson plans
0
%
→ Interactive AI conversations provided real-time corrections and speaking practice
→ Adaptive quizzes and targeted content focused on weak areas for each student
A network of private learning centers ( φροντιστήρια ) offering courses like Python, and AI seminars struggled to scale their lesson delivery, keep content updated, and monitor student progress efficiently—especially in hybrid (in-class + online) formats.
We implemented an AI-powered course automation platform that simplified content creation, scheduling, and real-time progress tracking across multiple classrooms and subjects.
- AI-generated lesson plans, quizzes, and practice exercises for each subject.
- Automated delivery via LMS platforms, with smart notifications and attendance tracking.
- Student dashboards with AI-based insights on performance and engagement levels.
- Courses were built and updated faster with AI-generated materials.
- Staff saved time by automating reminders and scheduling.
- Real-time student insights enabled more targeted support.
0
%
→ Instructors no longer had to manually build slides, quizzes, or lesson plans
0
%
→ Smart reminders and personalized lesson suggestions improved attendance and participation
→ Automation handled scheduling, progress tracking, and content distribution
A social media team managing multiple client accounts was overwhelmed by the manual effort required to create, repurpose, and publish posts across platforms like Instagram, LinkedIn, and X.
We developed a unified AI-driven social publishing system that created, adapted, and scheduled posts across all platforms from a single interface.
- AI generated platform-specific post variations with tailored captions.
- Automated scheduling and publishing using Make and native social APIs.
- Performance metrics tracked and visualized via a central dashboard.
- AI created smarter content, tailored for each platform’s audience and format.
- Centralized publishing eliminated tool-hopping and manual duplication.
- Clients achieved better engagement through optimized, consistent posting.
0
%
→ AI-generated captions were tailored to each platform’s tone and algorithm
0
%
→ Teams no longer needed to log in separately or copy-paste content
→ Real-time data helped optimize content and prove ROI to clients
A media content agency managing several corporate blogs was struggling to keep up with daily publishing. Manual sourcing, rewriting, and uploading consumed too much time and limited scalability.
We implemented a fully automated AI content pipeline that scraped trending news, rewrote it using LLMs, and published it automatically to WordPress.
- AI scraped selected sources for industry-specific news and content.
- LLMs rewrote articles in a brand-consistent tone with SEO structure.
- Integration with WordPress enabled auto-publishing with scheduled control.
- Automated sourcing and rewriting ensured a steady flow of high-value content.
- SEO-optimized structure improved organic reach and Google indexing.
- 100% of the workflow was hands-free—no human intervention needed after setup.
0
%
→ AI handled sourcing, rewriting, formatting, and publishing
0
%
→ SEO-optimized articles boosted Google visibility and ranking
→ No more manual research, writing, or scheduling
A digital marketing agency managing multiple YouTube channels for clients struggled with scheduling, optimization, and performance tracking—consuming dozens of hours monthly.
We implemented an AI-powered content automation system that streamlined the entire YouTube workflow—from metadata generation to analytics reporting.
- AI auto-generated video titles, descriptions, and tags using content analysis.
- Automated scheduling and publishing via Make (Integromat) and YouTube API.
- AI compiled and delivered weekly performance reports across all channels.
- Focused AI tools eliminated repetitive manual work
- Optimization improved visibility and engagement
- Real-time analytics enabled fast decision-making
0
%
Team no longer needed to manually schedule or tag videos
0
%
AI-optimized titles boosted video discovery and CTR
Weekly analytics generated automatically with zero effort
A web-based travel agency offering custom trips was overwhelmed by daily inquiries. Agents manually collected preferences and built itineraries, slowing response times and losing potential bookings.
We implemented an AI-powered lead qualification and itinerary generation system directly into the agency’s website and booking CRM.
- AI chatbots collected user preferences (budget, destination, dates) via embedded web form and messenger
- Pre-built trip logic + LLMs generated personalized itineraries in under 30 seconds
- AI sent itineraries via email or displayed them instantly in the customer portal
- Personalized responses increased trust and conversion
- Agents focused on high-quality leads, not manual filtering
- AI sped up proposal delivery and improved first response time
0
%
→ AI filtered low-quality inquiries before they reached the sales team
0
%
→ Fast, personalized itineraries improved client decision-making
→ AI handled itinerary formatting and email delivery automatically
A travel agency specializing in regional group tours was slow to react to competitor pricing and missed opportunities for dynamic promotion.
We built an AI scraping engine into their backend platform, tracking competitor pricing and packages in real time.
- AI monitored pricing changes on 12 competitor sites every 6 hours
- Suggested price adjustments and flagged underperforming packages
- Integrated with CMS to auto-highlight competitive offers on the agency’s website
- Instant market insights enabled faster reaction
- Automated updates kept offers fresh without manual edits
- Helped identify pricing gaps and undercut competition strategically
0
%
→ Promotions based on AI insights targeted slow-selling packages
0
%
→ Dynamic pricing enabled quicker reactions to market changes
→ AI scraped, analyzed, and suggested pricing changes automatically
I-Powered Data Scraping – AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
I-Powered Data Scraping – AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
0
%
I-Powered Data Scraping – AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
0
%
AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
struggled to compete with fast-changing competitor pricing.
compete with fast-changing competitor pricing.
- Dynamic pricing optimized revenue during peak and off-peak periods.
- Dynamic pricing optimized revenue during peak and off-peak periods.
- Dynamic pricing optimized revenue during peak and off-peak periods.
- Dynamic pricing optimized revenue during peak and off-peak periods.
- Dynamic pricing optimized revenue during peak and off-peak periods.
- Dynamic pricing optimized revenue during peak and off-peak periods.
0
%
Dynamic Pricing Strategy – AI adjusted prices automatically based on demand and competitor rates.
0
%
Dynamic Pricing Strategy – AI adjusted prices automatically based on demand and competitor rates.
Dynamic Pricing Strategy – AI adjusted prices automatically based on demand and competitor rates.
Yes. In our use cases, AI-powered scraping tools track competitor prices, extract product details, and update listings in real time—perfect for real estate, retail, and travel agencies.
Our case studies show that AI chatbots automate Tier 1 support tasks like answering FAQs, booking appointments, and handling account inquiries—reducing call center volume and improving response time.
Every solution is fully customizable. For example, voice agents in travel or healthcare can be trained in multiple languages and tones, while scraping tools can target specific websites or data formats.
We integrate with CRMs (like HubSpot, Salesforce), booking systems, CMS platforms, and VoIP tools. Whether it’s Make, WordPress, WhatsApp API, or custom dashboards, our AI fits into your existing stack.
Discover how AI can transform your business operations, boost efficiency, and drive growth
Pacific hake false trevally queen parrotfish black prickleback mosshead warbonnet sweeper! Greenling sleeper.
Pironos 3, Hlioupoli
16346, Athens Greece