Campasun’s

Campasun, a leader in campsite hospitality with numerous locations across France

Campasun, a leader in campsite hospitality with numerous locations across France, sought to improve operational efficiency without losing their hands-on touch. Their goal was to streamline processes, optimize pricing, and enhance customer communication through targeted automation and AI integration.
Problems we faced

Problems Identified

  1. Manual and Inconsistent Communication:
    Customer emails and booking inquiries were manually handled, leading to:
    – Delays in responses.
    – Inconsistent communication quality.
    – Increased potential for errors, negatively affecting customer satisfaction.
  2. Rigid Pricing Models:
    Campasun's static pricing strategy failed to adapt to fluctuating demand, leading to:
    – Missed revenue opportunities during high-demand periods.
    – Inability to capitalize on low-demand periods effectively.
  3. Disjointed Processes:
    Operational processes varied significantly across different campsites, causing:
    – Inefficiencies in managing day-to-day tasks.
    – Bottlenecks affecting customer service delivery.
    – Inconsistent quality across different locations.

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our Approach

Our Approach

1. Process Mapping with Miro

  • Conducted a semi-in-depth process mapping exercise using Miro to visualize and standardize workflows across all Campasun locations.
  • Identified key areas where automation could reduce redundancies while preserving essential human touchpoints crucial to the guest experience.

2. Automation and AI Integration

  • Custom Email Automation with Python and OpenAI:
    Leveraged Python scripts and libraries to connect with OpenAI’s API, creating a highly personalized automated email system. The AI-driven solution:
    – Was trained on Campasun’s historical customer interactions.
    – Generated tailored responses.  – Managed booking confirmations and feedback collection with precision and consistency.
  • Dynamic Pricing Model:
    Designed a dynamic pricing system using Python algorithms that automatically adjusted campsite rates based on real-time factors such as:
    – Demand trends.
    – Weather patterns.  – Local events.  – Historical booking data.
    This system ensured optimal pricing to maximize revenue and improve occupancy rates.

3. Operational Automation

  • Developed automated systems to manage routine tasks, including:
    – Inventory Tracking: Real-time monitoring of campsite inventory.
    – Maintenance Scheduling: Automated alerts for maintenance tasks.
    – Staff Shift Scheduling: Optimization of staffing levels based on predicted occupancy.
    These automations freed up staff to focus more on guest interactions, significantly enhancing the customer experience.

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Results

Results

  • Increased Efficiency:
    Automation of email communications and routine tasks led to a 35% reduction in administrative workload, freeing up valuable staff time for other duties.
  • Revenue Growth:
    The dynamic pricing model resulted in a 20% increase in revenue within the first year, optimizing both peak and off-peak occupancy rates.
  • Enhanced Customer Experience:
    AI-driven, prompt responses to customer inquiries led to a 25% boost in positive customer feedback and satisfaction scores.
  • Standardized Operations:
    Process mapping successfully streamlined workflows across all campsites, reducing inconsistencies and improving service quality.
CONCLUSION
Through the strategic application of Miro-based process mapping and the integration of Python-powered automation solutions, Campasun successfully balanced operational efficiency with their hands-on approach to hospitality. The use of AI-driven communication tools and dynamic pricing models not only improved internal workflows but also elevated the customer experience, demonstrating Jengu’s commitment to delivering innovative, impactful automation solutions tailored to client needs.