Discover How AI
is Transforming Industries
is Transforming Industries
Highlight the potential benefits of Together AI, such as improved decision-making, predictive analytics, and automation.
Harness the Power of Artificial Intelligence
Highlight the potential benefits of Together AI, such as improved decision-making, predictive analytics, and automation.
Discover How AI
is Transforming Industries
is Transforming Industries
Highlight the potential benefits of Together AI, such as improved decision-making, predictive analytics, and automation.
Harness the Power of Artificial Intelligence
Highlight the potential benefits of Together AI, such as improved decision-making, predictive analytics, and automation.
Discover How AI
is Transforming Industries
is Transforming Industries
Highlight the potential benefits of Together AI, such as improved decision-making, predictive analytics, and automation.
Harness the Power of Artificial Intelligence
Highlight the potential benefits of Together AI, such as improved decision-making, predictive analytics, and automation.
Use CasesReal AI. Real Results. Explore Our Use Case Library
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
ImplementationAI Success Stories: See How Companies Across Industries Are Scaling Smarter
Use Case: Telecom B2B: AI-Driven Call Analytics & Sentiment Scoring
Challange
A telecom B2B support division wanted to better understand customer sentiment, call quality, and churn risk—but lacked real-time insights from voice conversations.
Solution:
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
Why it worked:
- Gave managers visibility into live support quality
- Enabled early intervention for at-risk accounts
- Improved agent coaching with real examples
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Flagged 87% of churn-risk calls within minutes
→ AI identified tone changes, frustration cues, and negative keywords
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Reduced call audit time by 65%
→ AI handled transcription and classification instantly
Increased agent feedback speed by 3x
→ Managers had near-instant access to transcripts and issue tags
Use Case: Mobile Carrier: AI-Powered Network Issue Detection & Alerting
Challange
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.
Solution:
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
Why it worked:
- Problems were detected before customers reported them
- Faster reaction to outages minimized downtime
- Reduced manual oversight for network teams
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%
Detected 95% of outages within 60 seconds
→ AI caught anomalies faster than manual monitoring
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Reduced major downtime incidents by 38%
→ Early detection enabled proactive remediation
Cut alert response time in half for engineers
→ Real-time push alerts enabled quicker dispatch and fix
Use Case: Call Centers: AI Chatbots & Voice Agents for Customer Support Automation
Challange
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.
Solution:
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
Why it worked:
- Reduced strain on call center teams by handling basic inquiries instantly
- Delivered consistent support across channels 24/7
- Improved routing and first contact resolution
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%
Automated 62% of Tier 1 support interactions
→ AI resolved billing, plan, and account queries without agent intervention
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Reduced average wait time by 41%
→ Customers received help faster with self-service options
Lowered call center volume by 33%
→ Voice AI filtered non-critical requests and escalated only what mattered
Use Case: Maritime: Automated Crew Scheduling & Compliance Tracking
Challange
A shipping company managing 500+ crew members struggled with complex crew rotation planning and ensuring compliance with IMO and ISM regulations across voyages.
Solution:
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
Why it worked:
- Simplified rotation planning with fewer manual errors
- Prevented last-minute regulatory issues
- Ensured crew rest and qualification standards were met globally
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Reduced crew scheduling errors by 72%
→ AI built optimized, regulation-compliant duty plans
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Cut compliance audit preparation time by 50%
→ Digital reports replaced manual logs and spreadsheets
Saved 40+ admin hours/month on documentation tasks
→ Checklists, reminders, and logs handled automatically
Use Case: Maritime: AI for Voyage Optimization & Fuel Efficiency
Challange
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.
Solution:
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
Why it worked:
- Minimized detours and delays with intelligent route adaptation
- Reduced fuel usage while maintaining reliable ETAs
- Helped plan departures around port conditions and fuel pricing
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Achieved 12% average fuel savings per voyage
→ Smart routing and speed control cut unnecessary burn
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Improved ETA accuracy by 26% across long-haul journeys
→ Ports and partners were better prepared on arrival
Reduced weather-related delays by 31%
→ AI adjusted routes dynamically around storms and sea states
Use Case: Maritime: AI-Powered Fleet Monitoring & Predictive Maintenance
Challange
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.
Solution:
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
Why it worked:
- Prevented breakdowns before they disrupted routes
- Helped plan maintenance during downtime instead of emergencies
- Reduced dependence on manual checklists and reactive repairs
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Reduced unplanned maintenance events by 43%
→ AI flagged early signs, speeding up radiologist interpretation
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Lowered emergency repair costs by 38%
→ Advanced notice allowed for scheduled port repairs
Saved 60+ engineering hours per month per ship
→ Reduced manual data collection and routine diagnostics
Use Case: Healthcare: AI-Assisted Diagnosis Support for Radiology Centers
Challange
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.
Solution:
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
Why it worked:
- 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
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Scan review time reduced by 33% per case
→ AI flagged early signs, speeding up radiologist interpretation
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Improved anomaly detection accuracy by 21%
→ AI supported early-stage identification of subtle issues
Boosted radiologist confidence and reduced burnout
→ AI became a reliable assistant in high-pressure environments
Use Case: Healthcare: AI Voice Agent for Test Results & Patient Reminders
Challange
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.
Solution:
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
Why it worked:
- Staff stopped wasting time on repetitive outbound calls
- Patients appreciated faster communication
- Sensitive messages were flagged for doctor review before sending
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%
Reduced outbound calling time by 60%
→ Nurses and admins were free to focus on care and in-clinic work
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%
Improved patient follow-up attendance by 32%
→ Automated reminders boosted check-up and lab return rates
Automated over 1,800 patient calls per month
→ Voice agent handled routine outreach with natural, multilingual speech
Use Case: Healthcare: AI Chatbots for Appointment Booking & Pre-Screening
Challange
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.
Solution:
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
Why it worked:
- Reduced the workload on front desk staff
- Ensured every lead was followed up instantly
- Improved scheduling accuracy and reduced no-shows
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%
Handled 68% of appointment requests without staff intervention
→ Chatbot scheduled and confirmed visits automatically in under 3 minutes
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Reduced no-show rate by 27%
→ Automated reminders and confirmations improved attendance consistency
Freed up 40+ hours/month of receptionist time
→ Fewer calls and follow-ups were required from the front desk team
Use Case: Real Estate Agency: Competitor Scraping & Listing Optimization
Challange
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.
Solution:
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
Why it worked:
- Real-time data replaced outdated manual reports
- Listings stayed optimized and relevant
- Agents had visibility on how competitors positioned similar properties
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Underperforming property views decreased by 42%
→ Smart listing adjustments kept properties visible and competitive
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Click-through rates increased by 29%
→ Optimized content boosted engagement on portals and ads
Saved 30+ hours/month on market research tasks
→ Agents and admins focused on sales, not manual monitoring
Use Case: Real Estate Agency: Competitor Scraping & Listing Optimization
Challange
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.
Solution:
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
Why it worked:
- 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
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72% faster document turnaround time
Offers and contracts pre-filled and sent in minutes
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28% increase in listings-to-closure conversion rate
→ Faster workflows and client responses improved close rates
Centralized dashboard adoption by 85% of active agents
→ Easy UX and real-time AI tools encouraged full team usage
Use Case: Real Estate Agency: AI Lead Qualification & Agent Routing
Challange
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.
Solution:
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
Why it worked:
- High-quality leads reached the right agents faster
- Reduced errors and delays in lead handling
- Improved agent-client match quality
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%
Lead response time dropped by 67%
→ From hours to minutes with automated assignment and alerts
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36% increase in conversions from inquiry to viewing
→ Better agent matches and faster engagement led to higher response rates
Automated follow-ups increased re-engagement by 21%
→ AI reactivated cold leads without human input
Use Case: AI-Powered Replenishment & Purchase Prediction for Electronics Stores
Challange
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.
Solution:
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
Why it worked:
- Prevented stockouts by forecasting demand spikes
- Timed re-engagement messaging before customers looked elsewhere
- Increased repeat purchases without paid ads
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%
Recovered 19% of previously lost repeat orders
→ AI retargeted customers before they left to buy elsewhere
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Reduced out-of-stock incidents by 42%
→ Smart triggers initiated automatic restocking
Demand forecasting improved accuracy by 25%
→ Historical and real-time data powered smarter inventory planning
Use Case: Fashion: AI-Generated Product Photography for Fashion Brands
Challange
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.
Solution:
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
Why it worked:
- 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
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%
Reduced photo shoot costs by 75%
→ No need for physical models, photographers, or location rentals
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Launched new collections 30% faster
→ Teams uploaded AI visuals within 48 hours of product arrival
Created 10x more content in the same time frame
→ AI delivered multiple variations per product instantly
Use Case: Hotel: AI-Powered Booking Assistant on Hotel Website
Challange
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.
Solution:
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
Why it worked:
- 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
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%
22% increase in direct bookings via hotel website
→ Visitors converted instead of leaving to search on OTAs
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%
Reduced bounce rate by 38% on key landing pages
→ AI assistant kept users engaged and guided them through booking
Increased average booking value by 15%
→ Upsells (e.g., breakfast, view upgrades) were offered before checkout
Use Case: Hotel: AI Guest Review Monitoring & Reputation Response
Challange
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.
Solution:
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
Why it worked:
- No review went unmonitored or unanswered
- Negative reviews were addressed proactively
- Hotel management gained clear insights into guest sentiment trends
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100% of reviews tracked in real time across all platforms
→ AI scraped and categorized reviews every few hours
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35% faster average response time to guest reviews
→ Auto-suggestions allowed staff to respond within minutes, not days
18% increase in review scores within 3 months
→ Faster, personalized responses improved guest perception and loyalty
Use Case: Hotel: AI Concierge for Guest Requests & Upselling
Challange
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.
Solution:
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
Why it worked:
- 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
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Handled 68% of in-room guest requests without staff involvement
→ Most requests (e.g., towels, room service, info) were processed instantly via AI
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%
25% increase in average upsell revenue per guest
→ AI suggested upgrades like spa, minibar, and late checkout during optimal moments
Multilingual concierge covered 6+ languages automatically
→ Guests interacted in their native language without translation barriers
Use Case: Travel Agency: AI Chatbots for 24/7 Travel Support
Challange
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.
Solution:
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
Why it worked:
- Customers got instant support anytime, anywhere
- Reduced pressure on live agents
- Increased trust in service quality + Support expanded to 5 languages seamlessly
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Handled 72% of customer queries without human intervention
→ Most questions were resolved instantly through AI across channels
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26% boost in customer satisfaction scores
→ Faster, consistent answers led to better feedback and reviews
Reduced support wait times from 2 hours to 2 minutes
→ Chatbot replaced email backlog with instant, accurate responses
Use Case: AI-Assisted Admissions & Student Onboarding for Colleges
Challange
A language center preparing students for Greek national entrance exams needed a way to offer support outside classroom hours without expanding staff.
Solution:
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.
Why it worked:
- Students received personalized help 24/7 without adding instructors.
- AI tutors adapted to each student’s weak points.
- Interactive learning format increased study consistency.
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Admissions response time reduced by 60%
→ AI instantly handled inquiries and follow-ups during peak application periods
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18% increase in conversion from applicant to enrolled student
→ Faster, more personalized guidance helped applicants commit
2,500+ inquiries managed per month by AI chatbot
→ Reduced manual email handling and response lag for staff
Use Case: Virtual AI Tutors for Languages & Exam Preparation
Challange
A language center preparing students for Greek national entrance exams needed a way to offer support outside classroom hours without expanding staff.
Solution:
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.
Why it worked:
- Students received personalized help 24/7 without adding instructors.
- AI tutors adapted to each student’s weak points.
- Interactive learning format increased study consistency.
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%
Reduced content prep time by 70%
→ Instructors no longer had to manually build slides, quizzes, or lesson plans
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92% of students improved oral fluency
→ Interactive AI conversations provided real-time corrections and speaking practice
27% boost in mock exam scores
→ Adaptive quizzes and targeted content focused on weak areas for each student
Use Case: AI-Powered Course & Seminar Delivery
Challange
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.
Solution:
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.
Why it worked:
- 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.
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%
Reduced content prep time by 70%
→ Instructors no longer had to manually build slides, quizzes, or lesson plans
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%
Boosted student engagement by 32%
→ Smart reminders and personalized lesson suggestions improved attendance and participation
Cut course management workload by 50%
→ Automation handled scheduling, progress tracking, and content distribution
Use Case: Cross-Platform Social Publishing Automation
Challange
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.
Solution:
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.
Why it worked:
- 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.
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Reduced social publishing time by 75%
→ AI-generated captions were tailored to each platform’s tone and algorithm
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One-click scheduling saved 50+ hours/month
→ Teams no longer needed to log in separately or copy-paste content
Centralized analytics improved campaign visibility
→ Real-time data helped optimize content and prove ROI to clients
Use Case: Media Blog Scrapping & Publishing Automation
Challange
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.
Solution:
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.
Why it worked:
- 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.
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Published 30+ blog posts per week automatically
→ AI handled sourcing, rewriting, formatting, and publishing
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35% increase in organic traffic within 45 days
→ SEO-optimized articles boosted Google visibility and ranking
Saved over 100 hours/month on content opertions
→ No more manual research, writing, or scheduling
Use Case: Automating content publishing and performance optimization on YouTube
Challange
A digital marketing agency managing multiple YouTube channels for clients struggled with scheduling, optimization, and performance tracking—consuming dozens of hours monthly.
Solution:
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.
Why it worked:
- Focused AI tools eliminated repetitive manual work
- Optimization improved visibility and engagement
- Real-time analytics enabled fast decision-making
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Saved 80+ hours/month on manual publishing tasks
Team no longer needed to manually schedule or tag videos
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Increased video discoverability by 28% using AI-optimized metadata
AI-optimized titles boosted video discovery and CTR
Improved reporting accuracy and speed across all client accounts
Weekly analytics generated automatically with zero effort
Use Case: AI-Powered Lead Qualification & Itinerary Automation
Challange
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.
Solution:
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
Why it worked:
- 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
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85% fewer manual lead sorting tasks
→ AI filtered low-quality inquiries before they reached the sales team
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22% increase in quote acceptance rate
→ Fast, personalized itineraries improved client decision-making
Saved 40+ hours/month in itinerary building
→ AI handled itinerary formatting and email delivery automatically
Use Case: Competitive Pricing & Package Scraping Automation
Challange
A travel agency specializing in regional group tours was slow to react to competitor pricing and missed opportunities for dynamic promotion.
Solution:
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
Why it worked:
- Instant market insights enabled faster reaction
- Automated updates kept offers fresh without manual edits
- Helped identify pricing gaps and undercut competition strategically
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Reduced underbooked tours by 35%
→ Promotions based on AI insights targeted slow-selling packages
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21% increase in revenue from time-limited offers
→ Dynamic pricing enabled quicker reactions to market changes
Updated pricing 4x faster across all tour pages
→ AI scraped, analyzed, and suggested pricing changes automatically
Use Case:Telecom pricing and market
Challange
I-Powered Data Scraping – AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
Solution:
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.
Why it worked:
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
- AI scraping provided real-time market insights.
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%
I-Powered Data Scraping
I-Powered Data Scraping – AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
0
%
AI monitored competitor
AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
competitor pricing and market
AI monitored competitor pricing and market . trends (holidays, weather) every 30 minutes.
AI Maritime struggled to compete
Challange
struggled to compete with fast-changing competitor pricing.
Solution:
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.
Why it worked:
- 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.
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d competitor pricing and market .
Dynamic Pricing Strategy – AI adjusted prices automatically based on demand and competitor rates.
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trends (holidays, weather) every 30 minutes
Dynamic Pricing Strategy – AI adjusted prices automatically based on demand and competitor rates.
Strategy – AI adjusted prices automatically
Dynamic Pricing Strategy – AI adjusted prices automatically based on demand and competitor rates.
faqEverything you need
to know about real AI solutions
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.
Let’s create a tailored AI strategy for your industry.
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16346, Athens Greece