On-Demand Service Request Server with Dynamic Radius Filtering

The patent implements dynamic adjustment of delivery radius based on real-time supply-demand conditions. During peak hours, the system dynamically reduces the delivery radius to manage demand, while during off-peak hours, it expands the radius to show more service providers. This dynamic approach allows the system to adapt to changing conditions without permanently limiting user access to service providers.

The system changes the delivery radius parameter based on confirmed allocation rates and demand levels. When demand exceeds supply during peak hours, the radius parameter is reduced to control visibility. When supply exceeds demand, the radius is expanded. This parameter adjustment resolves the contradiction by making the limitation temporary and condition-dependent rather than fixed.

The patent introduces an intermediary mechanism - the dynamic delivery radius - that mediates between demand management needs and user experience. Instead of directly increasing fees which users perceive negatively, the system uses radius adjustment as an intermediary control that limits visibility of distant providers without explicitly charging surge fees, thereby managing demand while preserving user experience.

The system uses parameter changes in delivery radius as an alternative to fee surge. By adjusting the radius parameter based on demand conditions, the system achieves demand management through visibility control rather than price control, avoiding the negative user experience associated with fee surges while still achieving the goal of curbing excessive demand.

The patent applies partial action by selectively batching orders rather than batching all orders uniformly. The system evaluates individual order characteristics and batches only compatible orders that can be delivered together without significant time penalty. This partial batching approach maintains demand fulfilment rate while minimizing the time loss that would result from forcing all orders into batches.

The system segments orders into different batches based on delivery location, time window, and service provider availability. Rather than creating a single large batch, the system divides orders into multiple smaller batches that can be fulfilled efficiently. This segmentation reduces the average delivery time while still achieving high demand fulfilment rates by processing orders in optimized groups.