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• Case Study 1: Insurance Brokerage Industry: Insurance • 18 Agents AI Chatbot Implementation: Multi-channel customer service bot integrated with Salesforce CRM and policy management system. Handles quote requests, policy renewals, basic claims intake, and FAQs via website, SMS, and Facebook Messenger. Annual Savings: $82,000 • ROI: 440% • Payback: 2.7 months
• Case Study 2: Dental Practice Network Industry: Healthcare • 5 Locations Centralized Scheduling System: AI-powered appointment optimization across 5 locations with predictive scheduling based on patient history, procedure types, and provider availability. Annual Savings: $115,000 • ROI: 505% • Payback: 2.2 months
• Case Study 3: Logistics Company Industry: Transportation • 65 Vehicles Route Optimization: ML-based dynamic routing using real-time traffic data, weather conditions, delivery time windows, and vehicle capacity constraints. Annual Savings: $158,000 • ROI: 385% • Payback: 3.8 months
• Case Study 4: Architecture Firm Industry: Architecture • 14 Architects Design Review Assistant: RAG system trained on 12 years of project files, building codes, and design standards. Natural language queries return relevant precedents and compliance requirements. Annual Savings: $72,000 • ROI: 415% • Payback: 3.1 months
• Case Study 5: Restaurant Chain Industry: Food Service • 8 Locations Inventory Forecasting: ML models predict demand by location, day of week, weather, local events. Automated ordering system places supplier orders 3 days in advance. Annual Savings: $94,000 • ROI: 465% • Payback: 2.6 months
• Case Study 6: Marketing Agency Industry: Marketing • 22 Employees Content Optimization: AI analyzes past campaign performance to recommend optimal posting times, content formats, and messaging for each client. Annual Savings: $68,000 • ROI: 490% • Payback: 2.4 months
• Case Study 7: Construction Company Industry: Construction • $12M Revenue Automated Bidding: AI analyzes project specs, extracts material quantities, pulls current supplier pricing, and generates comprehensive bids with labor estimates. Annual Savings: $142,000 • ROI: 395% • Payback: 3.5 months
• Case Study 8: Veterinary Clinic Industry: Veterinary • 4 Veterinarians Appointment Management: Web and SMS chatbot for appointment booking with availability matching by veterinarian specialty and pet type. Annual Savings: $54,000 • ROI: 525% • Payback: 2.0 months
• Case Study 9: Wholesale Distributor Industry: Distribution • 250 SKUs Demand Forecasting: ML models predict demand by SKU using historical orders, seasonality, customer segments, and economic indicators. Annual Savings: $138,000 • ROI: 420% • Payback: 3.2 months
• Case Study 10: Property Management Industry: Real Estate • 340 Units Tenant Screening: Automated background check, credit report, employment verification with ML-based risk scoring. Reduces screening time from 3 days to 4 hours. Annual Savings: $105,000 • ROI: 455% • Payback: 2.8 months
• Case Study 11: Financial Advisor Firm Industry: Financial Services • 9 Advisors Portfolio Analysis Automation: AI-powered portfolio review system that analyzes client holdings against target allocations, risk profiles, and market conditions. Generates rebalancing recommendations with tax-loss harvesting opportunities. Annual Savings: $89,000 • ROI: 475% • Payback: 2.5 months
• Case Study 12: Pharmaceutical Distributor Industry: Healthcare Supply • 180 Clients Expiration Tracking System: Computer vision + barcode scanning system automatically tracks expiration dates on incoming inventory. ML model predicts which items likely to expire and suggests discounting or returns. Annual Savings: $167,000 • ROI: 370% • Payback: 3.9 months
• Case Study 13: Engineering Consultancy Industry: Engineering • 28 Engineers Technical Document RAG System: Searchable database of 18 years of technical reports, calculations, drawings, and standards documents. Engineers can ask natural language questions to find relevant precedents and methodologies. Annual Savings: $112,000 • ROI: 405% • Payback: 3.3 months
• Case Study 14: Fitness Studio Chain Industry: Fitness • 6 Studios Class Optimization: ML model predicts class demand based on time, day, instructor, weather, and historical patterns. Automatically adjusts class schedule and recommends optimal instructor assignments. Annual Savings: $61,000 • ROI: 510% • Payback: 2.1 months
• Case Study 15: Car Dealership Group Industry: Automotive • 4 Locations Lead Qualification: AI chatbot on website and Facebook qualifies leads by budget, timeline, trade-in, and preferences. Books test drives and routes hot leads to sales team immediately. Annual Savings: $128,000 • ROI: 430% • Payback: 3.0 months
• Case Study 16: Printing Company Industry: Printing Services • $8M Revenue Automated Quoting: AI extracts specifications from customer files (PDF, InDesign, Word), calculates material costs, production time, and generates instant quotes with 95% accuracy. Annual Savings: $97,000 • ROI: 445% • Payback: 2.9 months
• Case Study 17: Home Healthcare Agency Industry: Healthcare • 85 Caregivers Caregiver Scheduling: AI optimization considers patient needs, caregiver skills/certifications, geographic proximity, traffic patterns, and time-off requests. Automatically fills last-minute callouts. Annual Savings: $134,000 • ROI: 390% • Payback: 3.6 months
• Case Study 18: Hotel Chain Industry: Hospitality • 5 Properties Dynamic Pricing: ML model adjusts room rates in real-time based on demand forecasts, local events, competitor pricing, weather, and booking patterns. Updates rates hourly across all OTAs. Annual Savings: $118,000 • ROI: 425% • Payback: 3.1 months
• Case Study 19: IT Managed Services Industry: Technology • 150 Clients Ticket Triage: AI analyzes support tickets, categorizes by severity, identifies known issues, and routes to appropriate technician with relevant documentation. Auto-resolves 40% of tier-1 tickets. Annual Savings: $145,000 • ROI: 400% • Payback: 3.4 months
• Case Study 20: Educational Institution Industry: Education • 2,400 Students Admissions Chatbot: AI assistant answers prospective student questions about programs, requirements, costs, and campus life. Collects inquiry information and schedules campus tours. Annual Savings: $76,000 • ROI: 460% • Payback: 2.7 months
• Case Study 21: HVAC Service Company Industry: Home Services • 32 Technicians Call Triage: AI phone system captures customer issue description, equipment details, and urgency. Routes to appropriate technician skill level and provides estimated arrival time. Annual Savings: $101,000 • ROI: 435% • Payback: 2.9 months
• Case Study 22: Mortgage Brokerage Industry: Financial Services • 14 Loan Officers Document Collection: AI chatbot guides applicants through document requirements with visual examples. OCR extracts data from pay stubs, tax returns, bank statements. Validates completeness before loan officer review. Annual Savings: $93,000 • ROI: 455% • Payback: 2.8 months
• Case Study 23: Recruitment Agency Industry: Staffing • 220 Active Clients Resume Screening: AI parses resumes, extracts skills/experience, and matches against job requirements. Scores candidates and identifies top matches within minutes of application. Annual Savings: $118,000 • ROI: 420% • Payback: 3.1 months
• Case Study 24: Plumbing Company Industry: Home Services • 28 Plumbers Emergency Triage: AI phone system assesses urgency (burst pipe vs. slow leak), captures location and problem details. Dispatches nearest available plumber with appropriate skills. Annual Savings: $87,000 • ROI: 475% • Payback: 2.6 months
• Case Study 25: Mental Health Practice Industry: Healthcare • 12 Therapists Intake Screening: HIPAA-compliant chatbot conducts initial intake assessment, identifies crisis situations (routes to immediate resources), and matches patients with appropriate therapist specialties. Annual Savings: $68,000 • ROI: 495% • Payback: 2.3 months
• Case Study 26: Equipment Rental Company Industry: Equipment Rental • 450 Units Availability Prediction: ML forecasts equipment demand by type, season, and local construction activity. Optimizes purchasing and fleet distribution across locations. Annual Savings: $156,000 • ROI: 385% • Payback: 3.7 months
• Case Study 27: Grocery Chain Industry: Retail • 11 Stores Demand Forecasting: ML predicts product demand by SKU, location, day, weather, holidays, and local events. Automated ordering reduces overstock and stockouts. Annual Savings: $243,000 • ROI: 365% • Payback: 4.1 months
• Case Study 28: Landscaping Company Industry: Landscaping • 42 Crews Route Optimization: AI plans daily routes considering job locations, crew assignments, traffic, and equipment needs. Dynamically adjusts for weather cancellations and add-on jobs. Annual Savings: $127,000 • ROI: 415% • Payback: 3.2 months
• Case Study 29: Brewery & Taproom Industry: Beverage Manufacturing • 3 Locations Production Forecasting: ML predicts beer demand by style based on historical sales, seasonality, events, and trends. Optimizes brewing schedule and ingredient ordering. Annual Savings: $74,000 • ROI: 480% • Payback: 2.5 months
• Case Study 30: Physical Therapy Clinic Industry: Healthcare • 8 Therapists Insurance Authorization: Automated submission of prior authorization requests with AI-generated medical necessity documentation. Tracks approval status and appeals denials. Annual Savings: $81,000 • ROI: 465% • Payback: 2.6 months
• Case Study 31: Jewelry Store Industry: Retail • 4 Locations Customer Preference Tracking: AI chatbot captures customer preferences (metal type, stone preferences, style, budget) during initial inquiry. Curates personalized recommendations. Annual Savings: $92,000 • ROI: 445% • Payback: 2.9 months
• Case Study 32: Moving Company Industry: Moving Services • 18 Trucks Visual Inventory: Customers upload photos/video of rooms. AI estimates volume, identifies special handling items, and generates quote. 85% accuracy vs. in-home estimates. Annual Savings: $104,000 • ROI: 430% • Payback: 3.0 months
• Case Study 33: Pharmaceutical Research Lab Industry: Research • 35 Scientists Literature Review: RAG system searches 20+ years of lab notebooks, published papers, and experimental protocols. Natural language queries find relevant research and methodologies. Annual Savings: $186,000 • ROI: 380% • Payback: 3.8 months
• Case Study 34: Optometry Practice Industry: Healthcare • 6 Optometrists Frame Selection Assistant: AI analyzes customer face shape, complexion, and preferences to recommend frame styles. Virtual try-on using uploaded photos. Annual Savings: $71,000 • ROI: 490% • Payback: 2.4 months
• Case Study 35: Catering Company Industry: Food Service • 65 Events/Month Menu Planning: AI suggests menus based on event type, guest count, dietary restrictions, budget, and seasonal ingredient availability. Auto-generates shopping lists. Annual Savings: $98,000 • ROI: 440% • Payback: 2.9 months
• Case Study 36: Pest Control Company Industry: Home Services • 12 Technicians Pest Identification: Computer vision analyzes customer-submitted photos to identify pest type, infestation severity, and recommended treatment. Provides instant quotes. Annual Savings: $64,000 • ROI: 505% • Payback: 2.2 months
• Case Study 37: Salon Chain Industry: Beauty Services • 7 Locations Smart Booking: AI chatbot handles appointment booking considering stylist expertise, service duration, and client preferences. Optimizes schedule to minimize gaps. Annual Savings: $89,000 • ROI: 470% • Payback: 2.5 months
• Case Study 38: Medical Billing Company Industry: Healthcare Services • 240 Provider Clients Automated Coding: AI analyzes provider notes and assigns appropriate CPT/ICD-10 codes with 94% accuracy. Flags complex cases for certified coder review. Annual Savings: $218,000 • ROI: 370% • Payback: 3.9 months
• Case Study 39: Electrical Contracting Industry: Construction • 38 Electricians Estimation Automation: AI analyzes blueprints/plans to count fixtures, measure wire runs, and identify panel requirements. Generates material takeoffs and labor estimates. Annual Savings: $134,000 • ROI: 405% • Payback: 3.3 months
• Case Study 40: Wine Distributor Industry: Beverage Distribution • 850 Restaurant Accounts Recommendation Engine: AI suggests wines to restaurant buyers based on menu type, price point, current list, and seasonal trends. Learns from order history. Annual Savings: $147,000 • ROI: 395% • Payback: 3.5 months
• Case Study 41: Chiropractic Clinic Industry: Healthcare • 5 Chiropractors New Patient Intake: AI-guided questionnaire collects health history, pain assessment, insurance info before first visit. Flags red flag conditions requiring medical referral. Annual Savings: $63,000 • ROI: 515% • Payback: 2.0 months
• Case Study 42: Credit Union Industry: Financial Services • 18,000 Members Member Service Chatbot: AI handles balance inquiries, transaction history, card activation, loan rate quotes, and branch/ATM locations 24/7 via web, mobile app, and SMS. Annual Savings: $172,000 • ROI: 385% • Payback: 3.7 months
• Case Study 43: Carpet Cleaning Service Industry: Home Services • 8 Technicians Visual Quoting: Customers upload room photos. Computer vision estimates square footage, identifies stain types, and generates instant quotes with 90% accuracy. Annual Savings: $58,000 • ROI: 520% • Payback: 2.0 months
• Case Study 44: Auto Body Shop Industry: Automotive • 14 Bays Damage Assessment: Computer vision analyzes customer-submitted photos to identify damage, estimate repair complexity, and generate preliminary quotes. 88% accuracy vs. in-person estimates. Annual Savings: $116,000 • ROI: 425% • Payback: 3.0 months
• Case Study 45: Event Venue Industry: Hospitality • 3 Venues Inquiry Management: AI chatbot qualifies leads by event type, date, guest count, and budget. Checks venue availability and provides instant pricing. Annual Savings: $94,000 • ROI: 450% • Payback: 2.8 months
• Case Study 46: Tree Service Company Industry: Landscaping • 16 Crews Visual Estimation: Computer vision analyzes property photos to count trees, estimate heights, identify hazards, and measure distance to structures. Generates quotes automatically. Annual Savings: $108,000 • ROI: 415% • Payback: 3.2 months
• Case Study 47: Pharmacy Industry: Healthcare • 3 Locations Refill Automation: AI predicts refill timing based on prescription and usage patterns. Automated SMS reminders with one-click refill approval. Coordinates with prescriber for renewals. Annual Savings: $127,000 • ROI: 405% • Payback: 3.3 months
• Case Study 48: Machine Shop Industry: Manufacturing • 22 CNC Machines Quote Automation: AI analyzes CAD files (STEP, IGES) to extract features, calculate material needs, estimate machining time, and generate quotes. 93% accuracy. Annual Savings: $164,000 • ROI: 380% • Payback: 3.8 months
• Case Study 49: Senior Living Facility Industry: Healthcare • 120 Residents Inquiry Management: AI chatbot answers family questions about amenities, costs, availability, care levels. Schedules tours and collects assessment information. Annual Savings: $112,000 • ROI: 420% • Payback: 3.1 months
• Case Study 50: Coffee Roaster Industry: Food Manufacturing • Wholesale + 4 Cafes Roast Profiling: AI analyzes roast profiles and cup quality scores to optimize roasting parameters for each green coffee origin. Maintains consistency batch-to-batch. Annual Savings: $83,000 • ROI: 465% • Payback: 2.6 months
• Case Study 51: Paint Contractor Industry: Construction • 24 Painters Visual Measuring: Computer vision analyzes property photos to calculate paintable surface areas, identify prep work needs (caulking, patching), and count openings. Generates material lists. Annual Savings: $96,000 • ROI: 440% • Payback: 2.9 months
• Case Study 52: Photography Studio Industry: Creative Services • Wedding & Portrait Photography Photo Culling & Selection: AI analyzes RAW files to identify best shots based on focus, exposure, composition, and facial expressions. Flags duplicates and technical issues. Reduces culling time by 85%. Annual Savings: $68,000 • ROI: 490% • Payback: 2.4 months
• Case Study 53: Flooring Company Industry: Construction • Residential & Commercial Visual Measurement: Computer vision analyzes room photos/videos to calculate square footage, identify obstacles, and measure irregular spaces. Generates material lists with waste factors. Annual Savings: $122,000 • ROI: 430% • Payback: 3.0 months
• Case Study 54: Pool Service Company Industry: Home Services • 480 Residential Accounts Water Chemistry Prediction: ML analyzes historical test data, weather patterns, and pool characteristics to predict chemical needs. Optimizes chemical inventory on service trucks. Annual Savings: $87,000 • ROI: 510% • Payback: 2.2 months
• Case Study 55: Locksmith Service Industry: Security Services • 12 Technicians Visual Lock Identification: Computer vision identifies lock types, brands, and models from customer photos. Determines required tools, blanks, and parts before dispatch. Annual Savings: $76,000 • ROI: 485% • Payback: 2.5 months
• Case Study 56: Welding & Fabrication Shop Industry: Manufacturing • Custom Metal Fabrication Drawing Analysis: AI analyzes customer sketches, technical drawings, and photos to generate 3D models, material takeoffs, and welding time estimates. Annual Savings: $138,000 • ROI: 410% • Payback: 3.2 months
• Case Study 57: Artisan Bakery Industry: Food Service • Wholesale + 2 Retail Locations Demand Forecasting: ML predicts daily demand by product based on historical sales, weather, events, and day-of-week patterns. Optimizes production batches to minimize waste. Annual Savings: $72,000 • ROI: 475% • Payback: 2.6 months
• Case Study 58: Tutoring Center Industry: Education • K-12 Academic Tutoring Student Assessment: AI analyzes diagnostic tests and homework samples to identify learning gaps and create personalized learning plans. Tracks progress over time. Annual Savings: $64,000 • ROI: 495% • Payback: 2.3 months
• Case Study 59: Martial Arts Studio Industry: Fitness • Karate & Self-Defense Lead Nurturing: AI chatbot qualifies leads, answers questions about programs and pricing, and schedules trial classes. Automated follow-up sequences for trial participants. Annual Savings: $54,000 • ROI: 525% • Payback: 2.0 months
• Case Study 60: Pet Grooming Salon Industry: Pet Services • 6 Groomers Breed Identification: Computer vision identifies dog breeds from photos to recommend appropriate grooming services and estimate pricing/duration. Annual Savings: $61,000 • ROI: 505% • Payback: 2.2 months
• Case Study 61: Mobile Pet Grooming Industry: Pet Services • 4 Mobile Grooming Vans Route Optimization: AI generates daily routes considering appointment windows, travel time, grooming duration by breed, and fuel efficiency. Dynamically adjusts for cancellations. Annual Savings: $69,000 • ROI: 480% • Payback: 2.5 months
• Case Study 62: Maple Accounting & Tax Group Professional Services — Accounting & Tax Maple Accounting & Tax Group implemented a suite of AI-enhanced solutions to automate document intake, client communications, and key back-office workflows, resulting in significant annual savings and improved staff productivity.
• Case Study 63: Maple Law Firm Legal Services — Mid-Size Firm A mid-size legal firm leveraged AI for intake automation, document drafting, and knowledge retrieval, resulting in dramatic reductions in admin overhead and faster turnaround on client work.
• Case Study 64: Maple Call Center Services BPO — Call Center Operations By deploying AI-assisted ticketing and intelligent call routing, this BPO dramatically improved throughput and resolution accuracy.
• Case Study 65: Maple E-Commerce Marketplace Retail & E-Commerce This online marketplace improved support response, inventory accuracy, and customer satisfaction through AI automation.
• Case Study 66: Maple Manufacturing Plastics Manufacturing — Industrial Plastics Automated quality monitoring and workflow alerts increased uptime and reduced defects in plastics manufacturing.
• Case Study 67: Maple SaaS Customer Success Software — Customer Success AI-assisted customer success workflows increased retention and reduced manual follow-ups.
• Case Study 68: Maple Nonprofit Services Nonprofit Services Maple Nonprofit Services streamlined volunteer scheduling, donor communications, and reporting, significantly reducing manual work and improving stakeholder engagement.
• Case Study 69: Maple Municipality Helpdesk Municipal Services A municipal helpdesk automated common citizen inquiries and service requests, reducing call volumes and improving response times.
• Case Study 70: Maple Telecom Provider Telecommunications Telecom provider used AI to automate billing inquiries, smart notifications, and service status updates, significantly enhancing customer experience.
• Case Study 71: Maple Insurance Claims TPA Insurance Claims Administration The claims TPA automated intake and document processing, reducing turnaround times and operational costs.
• Case Study 72: Maple Utilities Billing Office Utilities This utility billing office used AI to reduce call volume and automate payment arrangements.
• Case Study 73: Maple Freight Forwarder Freight Forwarding The freight forwarder increased throughput by automating document processing and customer updates.
• Case Study 74: Maple Warehouse 3PL Third-Party Logistics A 3PL warehouse used AI workflows to optimize scheduling and reduce manual reconciliation.
• Case Study 75: Maple Airlines Ground Ops Vendor Aviation — Ground Operations Services Maple Airlines Ground Ops Vendor automated workforce dispatching and incident reporting, resulting in dramatic efficiency gains and reduced overtime.
• Case Study 76: Maple Travel Agency Network Travel Services A travel agency network leveraged AI to automate booking queries and itinerary generation, improving customer service capacity and reducing agent workload.
• Case Study 77: Maple Insurance Underwriting MGA Insurance Underwriting An MGA implemented AI to help with submission triage and appetite matching, improving turnaround and risk alignment.
• Case Study 78: Maple Commercial Cleaning Franchise HQ Facilities Services Maple Commercial Cleaning Franchise HQ utilized AI workflows to standardize quality checks and franchise support.
• Case Study 79: Maple Security Guard Company Security Services This security guard company automated dispatch scheduling and daily reporting, resulting in greater accountability and efficiency.
• Case Study 80: Maple Staffing Payroll Bureau Payroll Services The staffing payroll bureau improved payroll exception handling and customer support with AI workflows.
• Case Study 81: Maple Insurance Compliance Consulting (continued) Regulatory Compliance Consulting Maple Insurance Compliance Consulting automated report drafting, regulatory evidence checklists, and client deliverables, reducing manual research and drafting time.
• Case Study 82: Maple Maritime Port Operator Port Operations A maritime port operator improved yard planning, gate appointments, and equipment allocation through workflow automation.
• Case Study 83: Maple Waste Management Hauler Waste & Recycling Services Waste Management Hauler automated route planning, contamination alerts, and customer communications for improved efficiency.
• Case Study 84: Maple Water Treatment Plant Utilities — Water Treatment Maple Water Treatment Plant used AI workflows for sensor anomaly alerts, maintenance triggers, and SOP assistance for frontline staff.
• Case Study 85: Maple Retail Bank Branch Network Banking — Branch Operations A retail bank reduced teller inquiries and automated appointment scheduling, improving customer experience and reducing staffing pressures.
• Case Study 86: Maple Research University Admin Higher Education Administration The university admin automated HR inquiries, procurement alerts, and grant compliance reminders.
• Case Study 87: Maple HR Outsourcing Firm HR Services An HR outsourcing firm automated policy Q&A, onboarding, and case routing to improve client response times and reduce manual admin.
• Case Study 88: Maple Real Estate Brokerage Group Real Estate Services The brokerage automated lead qualification, showing coordination, and client follow-ups, increasing agent productivity while reducing admin staffing needs.
• Case Study 89: Maple Property Management Company Property Management Property operations were streamlined through automated maintenance intake, tenant communications, and rent reminders.
• Case Study 90: Maple Auto Dealership Group Automotive Retail The dealership group automated sales inquiries, service booking, and post-visit follow-ups, increasing conversion and service utilization.
• Case Study 91: Maple Construction General Contractor Construction Project coordination, RFI intake, and safety reporting were automated, reducing delays and admin workload.
• Case Study 92: Maple Engineering Consulting Firm Engineering Services The firm automated proposal drafting, document retrieval, and internal Q&A, improving billable utilization.
• Case Study 93: Maple Marketing Agency Marketing & Advertising Campaign reporting, client updates, and internal task routing were automated, freeing strategists for higher-value work.
• Case Study 94: Maple Food Distribution Company Food Distribution Order intake, delivery updates, and inventory alerts were automated, improving accuracy and throughput.
• Case Study 95: Maple Healthcare Clinic Network Healthcare Services Appointment booking, patient intake, and reminders were automated across clinics, reducing no-shows and admin load.
• Case Study 96: Maple Logistics Dispatch Center Logistics & Transportation Dispatching, driver updates, and exception handling were automated, improving fleet efficiency and service reliability.
• Case Study 97: Maple Freight Brokerage Transportation Brokerage The brokerage automated load matching, carrier communications, and exception handling, significantly increasing throughput per broker.
• Case Study 98: Maple Home Services Franchise Network Home Services The franchise automated job booking, franchisee support, and customer follow-ups, improving consistency across locations.
• Case Study 99: Maple Wholesale Distribution Group Wholesale Distribution Order intake, inventory alerts, and customer communications were automated to reduce backlogs and errors.
• Case Study 100: Maple Financial Advisory Firm Financial Advisory Client onboarding, document intake, and review reminders were automated, freeing advisors for client-facing work.
• Case Study 101: Maple Insurance Brokerage Network Insurance Brokerage Quoting, renewals, and service requests were automated across the brokerage network.
• Case Study 102: Maple Public Transit Authority Public Transportation Passenger inquiries, service alerts, and internal incident reporting were automated.
• Case Study 103: Maple Facilities Management Firm Facilities Management Work order intake, vendor coordination, and reporting were automated.
• Case Study 104: Maple Event Management Company Event Management Event inquiries, bookings, and vendor coordination were automated.
• Case Study 105: Maple Energy Services Provider Energy Services Service dispatch, customer updates, and compliance reporting were automated.
• Case Study 106: Maple Agricultural Co-Op Agriculture & Agribusiness The agricultural co-op automated member communications, order coordination, and seasonal planning, reducing administrative load during peak seasons.
• Case Study 107: Maple Mining Services Operator Mining & Resource Services Mining operations improved shift coordination, maintenance alerts, and safety reporting through workflow automation.
• Case Study 108: Maple Forestry Management Company Forestry & Environmental Services The forestry firm automated permit tracking, field reporting, and internal coordination, improving operational visibility.
• Case Study 109: Maple Fuel Distribution Company Fuel & Energy Distribution Dispatching, customer notifications, and compliance documentation were automated, reducing errors and improving delivery reliability.
• Case Study 110: Maple Recycling Processing Facility Recycling & Sustainability The facility automated intake logging, contamination reporting, and operational analytics.
• Case Study 111: Maple Private Education Network Private Education Enrollment inquiries, scheduling, and parent communications were automated across campuses.
• Case Study 112: Maple Equipment Leasing Firm Equipment Leasing Lease applications, renewals, and asset availability tracking were automated, increasing deal velocity.
• Case Study 113: Maple Charter Transportation Provider Charter Transportation Charter bookings, route coordination, and customer communications were automated.
• Case Study 114: Maple Insurance Loss Adjusting Firm Insurance Loss Adjusting Claim intake, assignment, and reporting were automated, reducing cycle times and overhead.
• Case Study 115: Maple Veterinary Clinic Group Veterinary Services Appointment booking, reminders, and client follow-ups were automated across multiple veterinary clinics, improving utilization and reducing front-desk workload.
• Case Study 116: Maple Senior Living Operator Senior Living & Care Inquiry handling, tour scheduling, and family communications were automated, improving occupancy and staff efficiency.
• Case Study 117: Maple Funeral Services Network Funeral & Memorial Services Service inquiries, scheduling, and documentation workflows were automated, reducing administrative burden during sensitive interactions.
• Case Study 118: Maple Courier & Last-Mile Delivery Courier & Last-Mile Delivery Dispatching, customer notifications, and delivery exception handling were automated, increasing delivery success rates.
• Case Study 119: Maple Mortgage Brokerage Mortgage Services Client intake, document collection, and follow-ups were automated, accelerating application turnaround.
• Case Study 120: Maple Payment Processing Support Org Financial Operations Support Dispute intake, case routing, and customer communications were automated, reducing handling time.
• Case Study 121: Maple Customs Brokerage Customs & Trade Compliance Entry intake, document validation, and status updates were automated to speed customs clearance.
• Case Study 122: Maple Non-Emergency Medical Transport Medical Transportation Ride booking, scheduling, and patient notifications were automated to improve reliability.
• Case Study 123: Maple Dental Practice Group Dental Services Appointment booking, recalls, and patient communications were automated across practices.
• Case Study 124: Maple Optometry Clinic Network Vision Care Appointment scheduling, recalls, and patient communications were automated across optometry locations, improving utilization and reducing front-desk workload.
• Case Study 125: Maple Chiropractic Practice Group Chiropractic Care Patient intake, scheduling, and treatment follow-ups were automated to increase clinic throughput.
• Case Study 126: Maple Physiotherapy Clinic Network Physiotherapy & Rehab Scheduling, treatment plan reminders, and outcomes tracking were automated across clinics.
• Case Study 127: Maple Home Healthcare Provider Home Healthcare Care scheduling, caregiver coordination, and family communications were automated to improve service reliability.
• Case Study 128: Maple Medical Billing Services Medical Billing Claim intake, coding review, and denial follow-ups were automated to reduce backlog.
• Case Study 129: Maple Diagnostics Laboratory Network Medical Diagnostics Test scheduling, results notifications, and internal logistics were automated.
• Case Study 130: Maple Pharmacy Group Pharmacy Services Refill reminders, patient notifications, and inventory alerts were automated across locations.
• Case Study 131: Maple Public Health Unit Public Health Citizen inquiries, appointment scheduling, and reporting were automated during high-demand periods.
• Case Study 132: Maple Wellness & Fitness Chain Fitness & Wellness Class booking, member communications, and retention workflows were automated.
• Case Study 133: Maple Gym Franchise Network Fitness Franchising Membership inquiries, class scheduling, and retention workflows were automated across franchise locations.
• Case Study 134: Maple Personal Injury Law Group Legal Services AI modernization for Legal Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 135: Maple Architectural Design Firm Architecture & Design AI modernization for Architecture & Design with MapleConcierge and MapleWorkSuite modules.
• Case Study 136: Maple HVAC Services Company HVAC Services AI modernization for HVAC Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 137: Maple Electrical Contracting Group Electrical Contracting AI modernization for Electrical Contracting with MapleConcierge and MapleWorkSuite modules.
• Case Study 138: Maple Plumbing Services Network Plumbing Services AI modernization for Plumbing Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 139: Maple Roofing Contractor Roofing & Exterior Services AI modernization for Roofing & Exterior Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 140: Maple Landscaping Company Landscaping Services AI modernization for Landscaping Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 141: Maple Pest Control Franchise Pest Control AI modernization for Pest Control with MapleConcierge and MapleWorkSuite modules.
• Case Study 142: Maple Janitorial Services Company Janitorial & Cleaning Services AI modernization for Janitorial & Cleaning Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 143: Maple Security Systems Installer Security Systems AI modernization for Security Systems with MapleConcierge and MapleWorkSuite modules.
• Case Study 144: Maple IT Managed Services Provider Managed IT Services AI modernization for Managed IT Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 145: Maple SaaS Product Support Team Software Support AI modernization for Software Support with MapleConcierge and MapleWorkSuite modules.
• Case Study 146: Maple Call Center Outsourcing Firm Call Center Services AI modernization for Call Center Services with MapleConcierge and MapleWorkSuite modules.
• Case Study 147: Maple Manufacturing Equipment Supplier Industrial Manufacturing AI modernization for Industrial Manufacturing with MapleConcierge and MapleWorkSuite modules.
• Case Study 148: Maple Building Materials Distributor Building Materials Distribution AI modernization for Building Materials Distribution with MapleConcierge and MapleWorkSuite modules.
• Case Study 149: Maple Food Processing Plant Food Processing AI modernization for Food Processing with MapleConcierge and MapleWorkSuite modules.
• Case Study 150: Maple National Services Group Multi-Industry Services Enterprise-wide intake, workflow automation, reporting, and AI-assisted communications were deployed across multiple business units.