This workflow automatically adjusts car wash pricing across all locations based on real-time demand patterns and weather conditions, maximizing revenue during peak periods while driving traffic during slow times through dynamic discounts.
Scheduled interval check every 15 minutes or significant weather change detected
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Detailed explanation of each automated stage in the workflow.
System polls weather API for current and forecasted conditions while DRB Systems pulls real-time queue lengths and transaction volumes across all locations.
Micrologic Associates retrieves historical sales data for similar weather conditions and time slots, calculating expected demand curves for each location.
System determines if conditions warrant price changes: sunny weather with low queue triggers premium pricing, rain forecasts trigger discounts, and high queue volumes activate surge pricing to manage flow.
Algorithm generates location-specific pricing recommendations balancing revenue optimization with customer retention, applying membership tier protections for WashCard unlimited members.
Unitec Electronics receives new pricing matrix and updates all entry station displays and payment kiosks across affected locations in real-time.
Dynamic pricing messages update on-site LED signs and mobile app notifications alert nearby customers about limited-time pricing specials or premium service availability.
System records all price adjustments with triggering conditions to the analytics dashboard, enabling continuous optimization of pricing algorithms and compliance reporting.
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