Concierge AI for Guest & Customer Experience

Created an AI concierge platform for a multi-property hospitality and real estate operator

Industry: Hospitality, Real Estate, Travel Solution: Conversational AI, RAG, Systems Integration

EdgeFactor designed and deployed a production-ready AI concierge that unified fragmented property data including house rules, amenities, local recommendations, operational SOPs, and booking details into a single conversational interface.

The system leveraged retrieval-augmented generation (RAG) to ensure responses were grounded in verified internal data while maintaining a natural, human-like conversational experience across web and messaging channels.

What We Built

  • A custom LLM-powered concierge trained on proprietary property and guest data
  • Secure vector database for real-time knowledge retrieval
  • Multi-channel deployment (web, SMS, messaging platforms)
  • Admin tooling for non-technical staff to update content without engineering support

Impact

Reduced inbound guest support volume by over 40%

Improved response time from minutes to seconds

Increased guest satisfaction and upsell conversion

Enabled 24/7 coverage without incremental headcount

AI-Driven Operational Intelligence

Built an internal AI knowledge assistant for a distributed services organization

Industry: Professional Services, Operations Solution: Knowledge Assistants, Document Intelligence, Workflow Automation

EdgeFactor created a private AI assistant that allowed employees to query institutional knowledge across thousands of internal documents including SOPs, contracts, training manuals, and historical communications.

The assistant replaced manual searching and tribal knowledge with fast, accurate answers tailored to each user's role and permissions.

What We Built

  • Secure RAG architecture over internal documents and databases
  • Role-based access control and data isolation
  • Natural language interface embedded directly into existing internal tools
  • Continuous ingestion and retraining pipeline

Impact

Cut employee onboarding time by more than 30%

Reduced internal support tickets and interruptions

Improved consistency and accuracy of decision-making

Preserved institutional knowledge during organizational change

Generative AI for Marketing & SEO

Deployed a generative AI content engine for a digital marketplace

Industry: E-commerce, Marketplaces Solution: Generative AI, SEO Automation, Content Intelligence

EdgeFactor built a generative AI system that automated the creation, optimization, and testing of high-performing marketing content at scale. The platform generated SEO-optimized listings, landing pages, and ad copy while continuously learning from conversion data.

What We Built

  • Custom prompt frameworks trained on historical performance data
  • Automated SEO keyword ingestion and optimization
  • A/B testing and performance feedback loops
  • Integration with CMS and marketing automation tools

Impact

Increased organic traffic and search visibility

Improved conversion rates across core funnels

Reduced content production costs and turnaround time

Enabled rapid expansion into new markets without adding headcount

AI-Ready Infrastructure & Platform Modernization

Modernized legacy systems to enable enterprise AI adoption

Industry: Hospitality, SaaS Solution: Cloud Architecture, MLOps, Data Pipelines

EdgeFactor partnered with leadership to modernize a legacy technology stack and prepare it for large-scale AI deployment. The engagement focused on data accessibility, security, and reliability to support current and future AI initiatives.

What We Built

  • Cloud-native data pipelines and APIs
  • Centralized data models and analytics layer
  • MLOps infrastructure for deployment, monitoring, and retraining
  • Security and compliance controls for sensitive data

Impact

Enabled rapid experimentation and deployment of AI features

Reduced technical debt and operational risk

Improved system performance and reliability

Created a foundation for future AI initiatives across the business

AI for Pricing, Forecasting & Financial Modeling

Developed machine-learning models for dynamic pricing and revenue forecasting

Industry: Travel, Hospitality, Marketplaces Solution: Predictive Analytics, ML Models, FP&A Automation

EdgeFactor built and deployed machine-learning models that forecast demand, optimize pricing, and support financial planning in highly volatile markets. Models incorporated historical performance, market signals, seasonality, and external demand drivers.

What We Built

  • Demand forecasting and price elasticity models
  • Automated scenario modeling for FP&A teams
  • Real-time dashboards for executive decision-making
  • Continuous retraining pipelines

Impact

Improved forecast accuracy and confidence

Increased revenue through smarter pricing decisions

Reduced manual spreadsheet-driven analysis

Enabled leadership to react faster to market changes

AI Agents for Repetitive Operations

Automated operational workflows with task-specific AI agents

Industry: Enterprise Operations, Services Solution: Agentic AI, Workflow Automation, OCR

EdgeFactor designed AI task agents that handled repetitive, rules-based workflows such as document intake, data validation, ticket triage, and reporting. Agents integrated directly into existing tools and workflows.

What We Built

  • AI agents for document processing and classification
  • OCR pipelines for unstructured data ingestion
  • Automated handoffs between systems via APIs
  • Monitoring and human-in-the-loop safeguards

Impact

Eliminated hundreds of hours of manual work per month

Reduced error rates and rework

Improved operational throughput

Allowed teams to focus on higher-value tasks

AI for Sales Enablement & Lead Management

Built AI assistants for outbound sales and inbound lead triage

Industry: B2B SaaS, Marketplaces Solution: Conversational AI, CRM Integration

EdgeFactor developed AI assistants that supported sales teams by qualifying inbound leads, prioritizing opportunities, and assisting with outbound outreach based on intent signals and historical performance.

What We Built

  • AI lead triage and qualification assistant
  • CRM-integrated outbound messaging agent
  • Context-aware responses grounded in product and pricing data
  • Analytics to continuously refine messaging and targeting

Impact

Faster response times to inbound leads

Higher conversion rates and sales efficiency

Reduced manual data entry and admin work

Improved visibility into pipeline health

Ready to Build?

Contact EdgeFactor to discuss your AI implementation. We'll assess feasibility, prototype fast, and deploy solutions that deliver measurable business impact.

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