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Automated dynamic pricing adjustments based on demand

Purpose

 1.1. Adjust pricing dynamically for adventure sports activities based on real-time or predicted demand fluctuations.
 1.2. Optimize revenue and booking occupancy by reducing, maintaining, or increasing prices in response to demand, capacity, competitor pricing, and seasonality.
 1.3. Improve customer experience with transparent, fair, and data-driven pricing strategies.
 1.4. Automate detection of booking trends, sell-through rates, and inventory availability, initiating immediate pricing updates.

Trigger Conditions

 2.1. Booking volume exceeds preset thresholds for specific activities or time slots.
 2.2. System detects drops in inventory to critical levels.
 2.3. External competitor price scraping identifies competitor price moves.
 2.4. Scheduled intervals (hourly, daily, weekly) for rules-based price recalculations.
 2.5. Demand prediction model forecasts high or low attendance windows.
 2.6. Real-time weather changes for outdoor activities.

Platform Variants

 3.1. Stripe API
  • Feature: Price management API — Update activity pricing dynamically via `/v1/prices` endpoint.
  • Sample: PATCH request to update price tied to activity/catalog IDs.
 3.2. Zapier
  • Feature: Webhook & Schedule Zap — Automate demand checks and trigger price changes.
  • Sample: Schedule Zap triggers, call pricing API of reservation system.
 3.3. Shopify
  • Function: Admin API — Bulk price adjustment via Product Variant endpoints.
  • Sample: PUT request to `/admin/api/2024-04/products/{id}/variants/{id}.json`.
 3.4. Salesforce
  • Function: Pricing Rules — Automated pricebook updates using process builder.
  • Sample: Trigger “Update Pricebook Entry” process on demand signal.
 3.5. Google Sheets
  • Feature: App Script — Scripted function monitors bookings, adjusts price fields.
  • Sample: `onEdit` trigger runs update routine for specific rows.
 3.6. WooCommerce
  • Function: REST API — Update product prices when webhook is called.
  • Sample: PUT to `/wp-json/wc/v3/products/{id}` with new price.
 3.7. Microsoft Power Automate
  • Feature: Scheduled Flow — Compare bookings, call connected pricing API.
  • Sample: HTTP action posts new rates to central system.
 3.8. HubSpot
  • Function: Custom Workflow — Automated contact property updates for price communication.
  • Sample: Custom action “Adjust Pricing” in workflow triggered by demand score.
 3.9. Freshdesk
  • Feature: API Webhook — Notify users of new prices post-adjustment.
  • Sample: Triggered webhook to `/api/v2/tickets/auto-update`.
 3.10. Booking.com (Partner API)
  • Function: Rates & Availability — POST to “roomsRates” with updated rates.
  • Sample: API called after inventory or demand check.
 3.11. Expedia Partner Central
  • Function: Availability & Rates API — Update nightly/slot-based rates programmatically.
  • Sample: PUT to `/availability/ratePlans/{planId}`.
 3.12. FareHarbor
  • Feature: APIs for Item Pricing — PATCH activity prices based on external demand input.
  • Sample: Webhook triggers PATCH to `/activities/{id}/prices/`.
 3.13. Xola
  • Function: Price Levels API — Automatically change price levels for listings.
  • Sample: PATCH `/api/prices/{listing_id}` on booking trend detection.
 3.14. Checkfront
  • Feature: Rules & API — Apply discount or surcharge automations via API.
  • Sample: API call to update item parameters `/api/v1/item/{id}`.
 3.15. Rezdy
  • Function: Inventory & Rates API — Adjust availability and pricing.
  • Sample: PUT to `/products/{productId}/prices`.
 3.16. Square
  • Feature: Catalog API — Update service item pricing in adventures catalog.
  • Sample: POST `/v2/catalog/object` for price updates.
 3.17. Skedda
  • Function: Pricing Rules — Automatic recalculation based on utilization rates.
  • Sample: Define custom dynamic pricing rules in admin panel.
 3.18. Amadeus for Developers
  • Feature: Self-Service APIs — Adjust offer pricing on demand surge triggers.
  • Sample: POST `/v1/shopping/flight-offers/pricing` for bundled adventure offers.
 3.19. TrekkSoft
  • Function: Pricing API — Manage service rates tied to booking trends.
  • Sample: PUT `/api/v1/rates/{activity_id}` with new values.
 3.20. Resova
  • Feature: API-driven price update for scheduled sessions.
  • Sample: API calls update session prices per rule-driven automation.

Benefits

 4.1. Maximizes occupancy and revenue by adapting prices in real time.
 4.2. Minimizes manual price updates, reducing operational workload.
 4.3. Aligns pricing with true market demand and competitor moves.
 4.4. Increases customer satisfaction with responsive, data-driven offers.
 4.5. Enables precise and timely promotions or surcharges.
 4.6. Supports multi-channel synchrony across web, POS, and booking partners.

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